> ## Documentation Index > Fetch the complete documentation index at: https://newscatcherinc-docs.mintlify.site/docs/llms.txt > Use this file to discover all available pages before exploring further. # Retrieve latest headlines > Retrieves the latest headlines for the specified time period. You can filter results by language, country, source, and more. ## OpenAPI ````yaml news-api-v3 get /api/latest_headlines openapi: 3.1.0 info: title: NewsCatcher News API description: > NewsCatcher News API provides programmatic access to a continuously updated global news index. It includes endpoints for article search, latest headlines, breaking news, author search, aggregation counts, and source discovery. ## Key features - **Full-text search**: Query articles by keyword, phrase, language, country, source, publication date, sentiment, and more using Boolean operators and advanced filters. - **NLP enrichment**: Articles include theme classification, sentiment scores, and named entity recognition (people, organizations, locations). - **Article clustering**: Group similar articles into clusters to reduce noise and surface unique stories. - **Deduplication**: Exclude duplicate articles from results to keep datasets clean and relevant. - **Source intelligence**: Discover and filter news sources by domain, type, rank, and geographic origin. For documentation, integration guides, and SDKs, visit the [developer portal](https://wwwnewscatcherapi.com/docs). termsOfService: https://newscatcherapi.com/terms-of-service contact: name: Maksym Sugonyaka email: maksym@newscatcherapi.com version: 3.24.0 servers: - url: https://v3-api.newscatcherapi.com description: News API production server security: - ApiKeyAuth: [] tags: - name: Search description: Operations to search for articles. externalDocs: description: Search for articles by keyword, language, country, source, and more. url: >- https://www.newscatcherapi.com/docs/news-api/api-reference/search/search-articles-get - name: LatestHeadlines description: Operations to retrieve latest headlines. externalDocs: description: >- Retrieve the latest headlines since a specified date, with filtering options. url: >- https://www.newscatcherapi.com/docs/news-api/api-reference/latest-headlines/retrieve-latest-headlines-get - name: BreakingNews description: Operations to retrieve breaking news articles. externalDocs: description: Retrieve breaking news articles. url: >- https://www.newscatcherapi.com/docs/news-api/api-reference/breaking-news/breaking-news-get - name: Authors description: Operations to search by author. externalDocs: description: Search for articles by author. url: >- https://www.newscatcherapi.com/docs/news-api/api-reference/authors/search-articles-by-author-get - name: SearchByLink description: Operations to search by link or ID. externalDocs: description: Search for articles by link or ID. url: >- https://www.newscatcherapi.com/docs/news-api/api-reference/search-by-link/search-articles-by-links-or-ids-get - name: Sources description: Operations to retrieve news sources. externalDocs: description: >- Retrieve the list of available sources, filtered by language and country. url: >- https://www.newscatcherapi.com/docs/news-api/api-reference/sources/retrieve-sources-get - name: AggregationCount description: Operations to aggregate news counts. externalDocs: description: >- Aggregate news counts based on specified criteria such as keyword, language, country, source, and more. url: >- https://www.newscatcherapi.com/docs/news-api/api-reference/aggregation-count/get-aggregation-count-by-interval-get - name: Subscription description: Operations to get subscription info. externalDocs: description: Retrieve information about your subscription plan. url: >- https://www.newscatcherapi.com/docs/news-api/api-reference/subscription/retrieve-subscription-plan-information-get externalDocs: description: Find out more about NewsCatcher News API url: https://www.newscatcherapi.com/docs paths: /api/latest_headlines: get: tags: - LatestHeadlines summary: Retrieve latest headlines description: >- Retrieves the latest headlines for the specified time period. You can filter results by language, country, source, and more. operationId: latestHeadlinesGet parameters: - $ref: '#/components/parameters/When' - $ref: '#/components/parameters/ByParseDate' - $ref: '#/components/parameters/SortBy' - $ref: '#/components/parameters/Lang' - $ref: '#/components/parameters/NotLang' - $ref: '#/components/parameters/Countries' - $ref: '#/components/parameters/NotCountries' - $ref: '#/components/parameters/PredefinedSources' - $ref: '#/components/parameters/Sources' - $ref: '#/components/parameters/NotSources' - $ref: '#/components/parameters/NotAuthorName' - $ref: '#/components/parameters/RankedOnly' - $ref: '#/components/parameters/IsHeadline' - $ref: '#/components/parameters/IsOpinion' - $ref: '#/components/parameters/IsPaidContent' - $ref: '#/components/parameters/ParentUrl' - $ref: '#/components/parameters/AllLinks' - $ref: '#/components/parameters/AllDomainLinks' - $ref: '#/components/parameters/AllLinksText' - $ref: '#/components/parameters/WordCountMin' - $ref: '#/components/parameters/WordCountMax' - $ref: '#/components/parameters/Page' - $ref: '#/components/parameters/PageSize' - $ref: '#/components/parameters/ClusteringEnabled' - $ref: '#/components/parameters/ClusteringVariable' - $ref: '#/components/parameters/ClusteringThreshold' - $ref: '#/components/parameters/IncludeTranslationFields' - $ref: '#/components/parameters/IncludeNlpData' - $ref: '#/components/parameters/HasNlp' - $ref: '#/components/parameters/Theme' - $ref: '#/components/parameters/NotTheme' - $ref: '#/components/parameters/OrgEntityName' - $ref: '#/components/parameters/PerEntityName' - $ref: '#/components/parameters/LocEntityName' - $ref: '#/components/parameters/MiscEntityName' - $ref: '#/components/parameters/TitleSentimentMin' - $ref: '#/components/parameters/TitleSentimentMax' - $ref: '#/components/parameters/ContentSentimentMin' - $ref: '#/components/parameters/ContentSentimentMax' - $ref: '#/components/parameters/IptcTags' - $ref: '#/components/parameters/NotIptcTags' - $ref: '#/components/parameters/IabTags' - $ref: '#/components/parameters/NotIabTags' - $ref: '#/components/parameters/CustomTags' - $ref: '#/components/parameters/RobotsCompliant' responses: '200': $ref: '#/components/responses/SearchResponse' '400': $ref: '#/components/responses/BadRequestError' '401': $ref: '#/components/responses/UnauthorizedError' '403': $ref: '#/components/responses/ForbiddenError' '408': $ref: '#/components/responses/RequestTimeoutError' '422': $ref: '#/components/responses/ValidationError' '429': $ref: '#/components/responses/RateLimitError' '500': $ref: '#/components/responses/InternalServerError' components: parameters: When: name: when in: query required: false schema: $ref: '#/components/schemas/When' ByParseDate: name: by_parse_date in: query required: false schema: $ref: '#/components/schemas/ByParseDate' SortBy: name: sort_by in: query required: false schema: $ref: '#/components/schemas/SortBy' example: date Lang: description: > The language(s) of the search. The only accepted format is the two-letter [ISO 639-1](https://en.wikipedia.org/wiki/ISO_639-1) code. To select multiple languages, use a comma-separated string. To learn more, see [Enumerated parameters > Language](https://www.newscatcherapi.com/docs/news-api/api-reference/enumerated-parameters#language-lang-and-not-lang). name: lang in: query required: false schema: type: string example: en,es NotLang: description: > The language(s) to exclude from the search. The accepted format is the two-letter [ISO 639-1](https://en.wikipedia.org/wiki/ISO_639-1) code. To exclude multiple languages, use a comma-separated string. To learn more, see [Enumerated parameters > Language](https://www.newscatcherapi.com/docs/news-api/api-reference/enumerated-parameters#language-lang-and-not-lang). name: not_lang in: query required: false schema: type: string example: fr,de Countries: description: > The countries where the news publisher is located. The accepted format is the two-letter [ISO 3166-1 alpha-2](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2) code. To select multiple countries, use a comma-separated string. To learn more, see [Enumerated parameters > Country](https://www.newscatcherapi.com/docs/news-api/api-reference/enumerated-parameters#country-country-and-not-country). name: countries in: query required: false schema: type: string example: US,CA NotCountries: description: > The publisher location countries to exclude from the search. The accepted format is the two-letter [ISO 3166-1 alpha-2](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2) code. To exclude multiple countries, use a comma-separated string. To learn more, see [Enumerated parameters > Country](https://www.newscatcherapi.com/docs/news-api/api-reference/enumerated-parameters#country-country-and-not-country). name: not_countries in: query required: false schema: type: string example: UK,FR PredefinedSources: description: > Predefined top news sources per country. Format: start with the word `top`, followed by the number of desired sources, and then the two-letter country code [ISO 3166-1 alpha-2](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2). Multiple countries with the number of top sources can be specified as a comma-separated string. name: predefined_sources in: query required: false schema: type: string example: top 50 US, top 20 GB Sources: description: > One or more news sources to narrow down the search. The format must be a domain URL. Subdomains, such as `finance.yahoo.com`, are also acceptable.To specify multiple sources, use a comma-separated string. name: sources in: query required: false schema: type: string example: nytimes.com,finance.yahoo.com NotSources: description: > The news sources to exclude from the search. To exclude multiple sources, use a comma-separated string. name: not_sources in: query required: false schema: type: string example: cnn.com,wsj.com NotAuthorName: description: > The list of author names to exclude from your search. To exclude articles by specific authors, use a comma-separated string. name: not_author_name in: query required: false schema: type: string example: John Doe, Jane Doe RankedOnly: name: ranked_only in: query required: false schema: $ref: '#/components/schemas/RankedOnly' IsHeadline: name: is_headline in: query required: false schema: $ref: '#/components/schemas/IsHeadline' IsOpinion: name: is_opinion in: query required: false schema: $ref: '#/components/schemas/IsOpinion' IsPaidContent: name: is_paid_content in: query required: false schema: $ref: '#/components/schemas/IsPaidContent' ParentUrl: description: > The categorical URL(s) to filter your search. To filter your search by multiple categorical URLs, use a comma-separated string. name: parent_url in: query required: false schema: type: string example: wsj.com/politics,wsj.com/tech AllLinks: description: > The complete URL(s) mentioned in the article. For multiple URLs, use a comma-separated string. For more details, see [Search by URL](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-url). name: all_links in: query required: false schema: type: string example: https://aiindex.stanford.edu/report,https://www.stateof.ai AllDomainLinks: description: > The domain(s) mentioned in the article. For multiple domains, use a comma-separated string. For more details, see [Search by URL](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-url). name: all_domain_links in: query required: false schema: type: string example: who.int,nih.gov AllLinksText: description: > The text content of links mentioned in the article. Searches for links where the anchor text contains the specified terms. For multiple terms, use a comma-separated string. **Note**: When this parameter is used, the response includes the `all_links_data` field with detailed link information. To learn more, see [Search by URL](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-url). name: all_links_text in: query required: false schema: type: string example: Nvidia,Tesla WordCountMin: name: word_count_min in: query required: false schema: $ref: '#/components/schemas/WordCountMin' WordCountMax: name: word_count_max in: query required: false schema: $ref: '#/components/schemas/WordCountMax' Page: name: page in: query required: false schema: $ref: '#/components/schemas/Page' PageSize: name: page_size in: query required: false schema: $ref: '#/components/schemas/PageSize' ClusteringEnabled: name: clustering_enabled in: query required: false schema: $ref: '#/components/schemas/ClusteringEnabled' ClusteringVariable: name: clustering_variable in: query required: false schema: $ref: '#/components/schemas/ClusteringVariable' ClusteringThreshold: name: clustering_threshold in: query required: false schema: $ref: '#/components/schemas/ClusteringThreshold' IncludeTranslationFields: name: include_translation_fields in: query required: false schema: $ref: '#/components/schemas/IncludeTranslationFields' IncludeNlpData: name: include_nlp_data in: query required: false schema: $ref: '#/components/schemas/IncludeNlpData' HasNlp: name: has_nlp in: query required: false schema: $ref: '#/components/schemas/HasNlp' Theme: name: theme in: query required: false schema: $ref: '#/components/schemas/Theme' NotTheme: name: not_theme in: query required: false schema: $ref: '#/components/schemas/NotTheme' OrgEntityName: name: ORG_entity_name in: query required: false schema: $ref: '#/components/schemas/OrgEntityName' PerEntityName: name: PER_entity_name in: query required: false schema: $ref: '#/components/schemas/PerEntityName' LocEntityName: name: LOC_entity_name in: query required: false schema: $ref: '#/components/schemas/LocEntityName' MiscEntityName: name: MISC_entity_name in: query required: false schema: $ref: '#/components/schemas/MiscEntityName' TitleSentimentMin: name: title_sentiment_min in: query required: false schema: $ref: '#/components/schemas/TitleSentimentMin' TitleSentimentMax: name: title_sentiment_max in: query required: false schema: $ref: '#/components/schemas/TitleSentimentMax' ContentSentimentMin: name: content_sentiment_min in: query required: false schema: $ref: '#/components/schemas/ContentSentimentMin' ContentSentimentMax: name: content_sentiment_max in: query required: false schema: $ref: '#/components/schemas/ContentSentimentMax' IptcTags: description: > Filters articles based on International Press Telecommunications Council (IPTC) media topic tags. To specify multiple IPTC tags, use a comma-separated string of tag IDs. **Note**: The `iptc_tags` parameter is only available in the `v3_nlp_iptc_tags` subscription plan. To learn more, see [IPTC Media Topic NewsCodes](https://www.iptc.org/std/NewsCodes/treeview/mediatopic/mediatopic-en-GB.html). name: iptc_tags in: query required: false schema: type: string example: 20000199,20000209 NotIptcTags: description: > Inverse of the `iptc_tags` parameter. Excludes articles based on International Press Telecommunications Council (IPTC) media topic tags. To specify multiple IPTC tags to exclude, use a comma-separated string of tag IDs. **Note**: The `not_iptc_tags` parameter is only available in the `v3_nlp_iptc_tags` subscription plan. To learn more, see [IPTC Media Topic NewsCodes](https://www.iptc.org/std/NewsCodes/treeview/mediatopic/mediatopic-en-GB.html). name: not_iptc_tags in: query required: false schema: type: string example: 20000205,20000209 IabTags: description: > Filters articles based on Interactive Advertising Bureau (IAB) content categories. These tags provide a standardized taxonomy for digital advertising content categorization. To specify multiple IAB categories, use a comma-separated string. **Note**: The `iab_tags` parameter is only available in the `v3_nlp_iptc_tags` subscription plan. To learn more, see the [IAB Content taxonomy](https://iabtechlab.com/standards/content-taxonomy/). name: iab_tags in: query required: false schema: type: string example: Business,Events NotIabTags: description: > Inverse of the `iab_tags` parameter. Excludes articles based on Interactive Advertising Bureau (IAB) content categories. These tags provide a standardized taxonomy for digital advertising content categorization. To specify multiple IAB categories to exclude, use a comma-separated string. **Note**: The `not_iab_tags` parameter is only available in the `v3_nlp_iptc_tags` subscription plan. To learn more, see the [IAB Content taxonomy](https://iabtechlab.com/standards/content-taxonomy/). name: not_iab_tags in: query required: false schema: type: string example: Agriculture,Metals CustomTags: description: > Filters articles based on provided taxonomy that is tailored to your specific needs and is accessible only with your API key. To specify tags, use the following pattern: - `custom_tags.taxonomy=Tag1,Tag2`, where `taxonomy` is the taxonomy name and `Tag1,Tag2` is a comma-separated list of tag names. Example: `custom_tags.industry="Manufacturing,Logistics"` To learn more, see the [Custom tags](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/custom-tags). name: custom_tags in: query required: false schema: type: string example: Tag1,Tag2 RobotsCompliant: name: robots_compliant in: query required: false schema: $ref: '#/components/schemas/RobotsCompliant' responses: SearchResponse: description: >- A successful response containing articles that match the search criteria. When `clustering_enabled` is `true`, returns a Clustered Articles Response. Otherwise, returns a Search Response. content: application/json: schema: oneOf: - $ref: '#/components/schemas/SearchResponseDto' - $ref: '#/components/schemas/ClusteredSearchResponseDto' BadRequestError: description: Bad request content: application/json: schema: $ref: '#/components/schemas/Error' example: message: Invalid JSON in request body status_code: 400 status: Bad request UnauthorizedError: description: Unauthorized - Authentication failed content: application/json: schema: $ref: '#/components/schemas/Error' example: message: >- The 'x-api-token' parameter has an invalid value. Please provide a valid API key. status_code: 401 status: Unauthorized ForbiddenError: description: Forbidden - Server refuses action content: application/json: schema: $ref: '#/components/schemas/Error' example: message: Your plan request date range cannot be greater than 400 days status_code: 403 status: Forbidden RequestTimeoutError: description: Request timeout content: application/json: schema: $ref: '#/components/schemas/Error' example: message: Request timed out after 30 seconds status_code: 408 status: Request timeout ValidationError: description: Validation error content: application/json: schema: $ref: '#/components/schemas/Error' example: message: Invalid date format status_code: 422 status: Validation error RateLimitError: description: Too many requests - Rate limit exceeded content: application/json: schema: $ref: '#/components/schemas/Error' example: message: Max API requests concurrency reached status_code: 429 status: Too many requests InternalServerError: description: Internal server error content: text/plain: schema: type: string example: Internal Server Error schemas: When: type: string default: 7d description: | The time period for which you want to get the latest headlines. Format examples: - `7d`: Last seven days - `30d`: Last 30 days - `1h`: Last hour - `24h`: Last 24 hours example: 7d ByParseDate: type: boolean default: false description: > If true, the `from_` and `to_` parameters use article parse dates instead of published dates. Additionally, the `parse_date` variable is added to the output for each article object. example: true SortBy: type: string enum: - relevancy - date - rank default: relevancy description: | The sorting order of the results. Possible values are: - `relevancy`: The most relevant results first. - `date`: The most recently published results first. - `rank`: The results from the highest-ranked sources first. example: date RankedOnly: type: boolean default: true description: > If true, limits the search to sources ranked in the top 1 million online websites. If false, includes unranked sources which are assigned a rank of 999999. example: true IsHeadline: type: boolean description: > If true, only returns articles that were posted on the home page of a given news domain. example: true IsOpinion: type: boolean description: > If true, returns only opinion pieces. If false, excludes opinion-based articles and returns news only. example: true IsPaidContent: type: boolean description: > Filters articles by content completeness. If false, returns only articles for which full-text content is publicly available. If true, returns all indexed articles, including those where only partial content is publicly available (e.g., headlines, summaries, or preview paragraphs from paywalled sources). **Note**: NewsCatcher indexes content that is publicly accessible and available for crawling in accordance with publisher access controls (e.g., robots.txt and similar mechanisms). For paywalled sources, only content that publishers make publicly available (such as headlines, summaries, or preview text) is indexed. NewsCatcher does not bypass paywalls, authentication systems, or other technical access restrictions. example: false WordCountMin: type: integer minimum: 0 description: > The minimum number of words an article must contain. To be used for avoiding articles with small content. example: 300 WordCountMax: type: integer minimum: 0 description: | The maximum number of words an article can contain. To be used for avoiding articles with large content. example: 1000 Page: type: integer minimum: 1 default: 1 description: > The page number to scroll through the results. Use for pagination, as a single API response can return up to 1,000 articles. For details, see [Retrieve large datasets](https://www.newscatcherapi.com/docs/news-api/how-to/retrieve-more-than-10k-articles) example: 2 PageSize: type: integer minimum: 1 maximum: 1000 default: 100 description: | The number of articles to return per page. example: 50 ClusteringEnabled: type: boolean default: false description: > Determines whether to group similar articles into clusters. If true, the API returns clustered results. To learn more, see [Clustering news articles](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/clustering-news-articles). example: true ClusteringVariable: type: string enum: - content - title - summary default: content deprecated: true description: > **Deprecated from January 1, 2026 onward.** For articles published on or after 2026-01-01, this parameter is ignored. Clustering always uses a combined `title + content` embedding generated by the Qwen3-Embedding-0.6B model, regardless of the value supplied. For articles published before 2026-01-01, this parameter remains functional and specifies which part of the article to use for clustering: - `content`: Uses the full article content (default). - `title`: Uses only the article title. - `summary`: Uses the article summary. To learn more, see [Clustering news articles](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/clustering-news-articles). example: content ClusteringThreshold: type: number format: float exclusiveMinimum: 0 maximum: 1 default: 0.7 description: > Sets the similarity threshold for grouping articles into clusters. A lower value creates more inclusive clusters, while a higher value requires greater similarity between articles. For example: - `0.6`: Results in larger, more diverse clusters. - `0.7`: Balances cluster size and article similarity (default). - `0.8`: Creates smaller, tightly related clusters. To learn more, see [Clustering news articles](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/clustering-news-articles). example: 0.7 IncludeTranslationFields: type: boolean default: false description: > If true, includes English translation fields in the response (`title_translated_en`, `content_translated_en`, and NLP translation fields). example: true IncludeNlpData: type: boolean default: false description: > If true, includes an NLP object for each article in the response. This object provides results of NLP analysis, including article theme, summary, sentiment, tags, and named entity recognition if available. **Note**: NLP data is only available for articles indexed from July 2023 onward. For articles indexed before July 2023, the `nlp` field is returned as an empty object `{}`. To learn more, see [NLP features](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/nlp-features). example: true HasNlp: type: boolean default: false description: > If true, filters results to include only articles that have NLP data. **Note**: NLP data is only available for articles indexed from July 2023 onward. Applying this filter to a date range that predates July 2023 returns zero results. To learn more, see [NLP features](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/nlp-features). example: true Theme: type: string example: Finance,Tech description: > Filters articles based on their general topic, as determined by NLP analysis. To select multiple themes, use a comma-separated string. To learn more, see [NLP features](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/nlp-features). Available options: `Business`, `Economics`, `Entertainment`, `Finance`, `Health`, `Politics`, `Science`, `Sports`, `Tech`, `Crime`, `Financial Crime`, `Lifestyle`, `Automotive`, `Travel`, `Weather`, `General`. NotTheme: type: string example: Crime,Sports description: > Inverse of the `theme` parameter. Excludes articles based on their general topic, as determined by NLP analysis. To exclude multiple themes, use a comma-separated string. To learn more, see [NLP features](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/nlp-features). OrgEntityName: type: string description: > Filters articles that mention specific organization names, as identified by NLP analysis. - To specify multiple organizations, use `AND`, `OR`, `NOT` operators, and `\"` escape literals for exact matches. - To search in translations, combine with the translation options of the `search_in` parameter (e.g., `title_content_translated`). To learn more, see [Search by entity](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-entity). example: '"Apple Inc" OR Microsoft' PerEntityName: type: string description: > Filters articles that mention specific person names, as identified by NLP analysis. - To specify multiple names, use `AND`, `OR`, `NOT` operators, and `\"` escape literals for exact matches. - To search in translations, combine with the translation options of the `search_in` parameter (e.g., `title_content_translated`). To learn more, see [Search by entity](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-entity). example: '"Elon Musk" OR "Jeff Bezos"' LocEntityName: type: string description: > Filters articles that mention specific location names, as identified by NLP analysis. - To specify multiple locations, use `AND`, `OR`, `NOT` operators, and `\"` escape literals for exact matches. - To search in translations, combine with the translation options of the `search_in` parameter (e.g., `title_content_translated`). To learn more, see [Search by entity](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-entity). example: '"San Francisco" OR "New York City"' MiscEntityName: type: string description: > Filters articles that mention other named entities not falling under person, organization, or location categories. Includes events, nationalities, products, works of art, and more. - To specify multiple entities, use `AND`, `OR`, `NOT` operators, and `\"` escape literals for exact matches. - To search in translations, combine with the translation options of the `search_in` parameter (e.g., `title_content_translated`). To learn more, see [Search by entity](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-entity). example: AWS OR "Microsoft Azure" TitleSentimentMin: type: number format: float minimum: -1 maximum: 1 description: > Filters articles based on the minimum sentiment score of their titles. Range is `-1.0` to `1.0`, where: - Negative values indicate negative sentiment. - Positive values indicate positive sentiment. - Values close to 0 indicate neutral sentiment. To learn more, see [NLP features](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/nlp-features). example: -0.5 TitleSentimentMax: type: number format: float minimum: -1 maximum: 1 description: > Filters articles based on the maximum sentiment score of their titles. Range is `-1.0` to `1.0`, where: - Negative values indicate negative sentiment. - Positive values indicate positive sentiment. - Values close to 0 indicate neutral sentiment. To learn more, see [NLP features](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/nlp-features). example: 0.5 ContentSentimentMin: type: number format: float minimum: -1 maximum: 1 description: > Filters articles based on the minimum sentiment score of their content. Range is `-1.0` to `1.0`, where: - Negative values indicate negative sentiment. - Positive values indicate positive sentiment. - Values close to 0 indicate neutral sentiment. To learn more, see [NLP features](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/nlp-features). example: -0.5 ContentSentimentMax: type: number format: float minimum: -1 maximum: 1 description: > Filters articles based on the maximum sentiment score of their content. Range is `-1.0` to `1.0`, where: - Negative values indicate negative sentiment. - Positive values indicate positive sentiment. - Values close to 0 indicate neutral sentiment. To learn more, see [NLP features](https://www.newscatcherapi.com/docs/news-api/guides-and-concepts/nlp-features). example: 0.5 RobotsCompliant: type: boolean description: > If true, returns only articles that comply with the publisher's robots.txt rules. If false, returns only articles that do not comply with robots.txt rules. If omitted, returns all articles regardless of compliance status. example: true SearchResponseDto: title: Search Response description: > The response model for the search requests applies to the `Search`, `Latest Headlines`, `Search by link`, and `Authors` endpoints. Response field behavior: - Required fields are guaranteed to be present and non-null. - Optional fields may be `null` or `undefined` if the data point is not presented or couldn't be extracted during processing. - To access article properties in the `articles` response array, use array index notation. For example, `articles[n].title`, where `n` is the zero-based index of the article object (0, 1, 2, etc.). - The `nlp` property within the article object `articles[n].nlp` is only available with NLP-enabled subscription plans. allOf: - $ref: '#/components/schemas/BaseSearchResponseDto' - type: object properties: articles: $ref: '#/components/schemas/ArticlesDto' user_input: $ref: '#/components/schemas/UserInputDto' ClusteredSearchResponseDto: title: Clustered Articles Response description: > The response model when clustering is enabled, grouping similar articles into clusters. Applies to the `Search` and `Latest headlines` requests. Response field behavior: - Required fields are guaranteed to be present and non-null. - Optional fields may be `null` or `undefined` if the data point is not presented or couldn't be extracted during processing. - To access article properties in the `articles` response array, use array index notation. For example, `articles[n].title`, where `n` is the zero-based index of the article object (0, 1, 2, etc.). - The `nlp` property within the article object `articles[n].nlp` is only available with NLP-enabled subscription plans. allOf: - $ref: '#/components/schemas/BaseSearchResponseDto' - $ref: '#/components/schemas/ClusteredArticlesDto' - type: object properties: user_input: $ref: '#/components/schemas/UserInputDto' Error: type: object properties: message: type: string description: A detailed description of the error. status_code: type: integer description: The HTTP status code of the error. status: type: string description: A short description of the status code. required: - message - status_code - status BaseSearchResponseDto: title: Base Search Response description: The base response model containing common fields for search operations. required: - status - total_hits - page - total_pages - page_size type: object properties: status: title: Status description: The status of the response. type: string total_hits: title: Total Hits description: The total number of articles matching the search criteria. type: integer page: title: Page description: The current page number of the results. type: integer total_pages: title: Total Pages description: The total number of pages available for the given search criteria. type: integer page_size: title: Page Size description: The number of articles per page. type: integer ArticlesDto: title: Articles description: A list of articles matching the search criteria. type: array items: $ref: '#/components/schemas/ArticleEntity' default: [] UserInputDto: type: object description: The user input parameters for the request. additionalProperties: true ClusteredArticlesDto: type: object required: - clusters_count - clusters properties: clusters_count: title: Clusters Count type: integer description: The number of clusters in the search results. clusters: type: array description: A list of clusters found in the search results. items: $ref: '#/components/schemas/ClusterEntity' ArticleEntity: title: Article Object description: The data model representing a single article in the search results. required: - title - link - domain_url - full_domain_url - parent_url - rank - id - score type: object properties: title: title: Title description: The title of the article. type: string author: title: Author description: The primary author of the article. type: string authors: title: Authors description: A list of authors of the article. anyOf: - type: array items: type: string - type: string journalists: title: Journalists description: A list of journalists associated with the article. anyOf: - type: array items: type: string - type: string - type: 'null' published_date: title: Published Date description: The date the article was published. type: string published_date_precision: title: Published Date Precision description: The precision of the published date. type: string updated_date: title: Updated Date description: The date the article was last updated. type: - string - 'null' updated_date_precision: title: Updated Date Precision description: The precision of the updated date. type: - string - 'null' parse_date: title: Parse Date description: The date the article was parsed. type: - string - 'null' link: title: Link description: The URL link to the article. type: string domain_url: title: Domain URL description: The domain URL of the article. type: string full_domain_url: title: Full Domain URL description: The full domain URL of the article. type: string name_source: title: Name Source description: The name of the source where the article was published. type: string is_headline: title: Is Headline description: Indicates if the article is a headline. type: boolean paid_content: title: Paid Content description: >- Indicates whether the source labels the article as paywalled or requiring a subscription for full access. type: boolean parent_url: title: Parent URL description: The categorical URL of the article. type: string country: title: Country description: The country where the article was published. type: string rights: title: Rights description: The rights information for the article. type: string rank: title: Rank description: The rank of the article's source. type: integer media: title: Media description: The media associated with the article. type: string language: title: Language description: The language in which the article is written. type: string description: title: Description description: A brief description of the article. type: string content: title: Content description: The content of the article. type: string title_translated_en: type: - string - 'null' description: > English translation of the article title. Available when using the `search_in` parameter with the `title_translated` option or by setting the `include_translation_fields` parameter to `true`. content_translated_en: type: - string - 'null' description: > English translation of the article content. Available when using the `search_in` parameter with the `content_translated` option or by setting the `include_translation_fields` parameter to `true`. word_count: title: Word Count description: The word count of the article. type: integer default: 0 is_opinion: title: Is Opinion description: Indicates if the article is an opinion piece. type: boolean twitter_account: title: Twitter Account description: The Twitter account associated with the article. type: - string - 'null' all_links: title: All Links description: A list of all URLs mentioned in the article. anyOf: - type: array items: type: string - type: string default: [] all_domain_links: title: All Domain Links description: A list of all domain URLs mentioned in the article. anyOf: - type: array items: type: string - type: string default: [] all_links_data: title: All Links Data description: > Detailed information about all links mentioned in the article, including link URL, domain, and anchor text. Only present when the `all_links_text` parameter is used in the request. type: array items: $ref: '#/components/schemas/AllLinksDataItem' default: [] nlp: $ref: '#/components/schemas/NlpDataEntity' id: title: ID description: The unique identifier for the article. type: string score: title: Score description: The relevance score of the article. type: number robots_compliant: title: Robots Compliant description: > True if the article content can be safely accessed according to the publisher's robots.txt rules; false otherwise. type: boolean example: true custom_tags: title: Custom Tags description: >- An object that contains custom tags associated with an article, where each key is a taxonomy name, and the value is an array of tags. type: object additionalProperties: type: array items: type: string default: {} additional_domain_info: $ref: '#/components/schemas/AdditionalDomainInfoEntity' ClusterEntity: title: Cluster Entity description: The data model representing a single cluster of articles. required: - cluster_id - cluster_size - articles type: object properties: cluster_id: title: Cluster Id description: The unique identifier for the cluster. type: string cluster_size: title: Cluster Size description: The number of articles in the cluster. type: integer articles: title: Articles description: A list of articles in the cluster. type: array items: $ref: '#/components/schemas/ArticleEntity' AllLinksDataItem: title: Link Data Item description: Detailed information about a link found in an article. required: - domain_url - link - text type: object properties: domain_url: title: Domain URL description: The domain of the linked URL. type: string example: amazon.de link: title: Link description: The complete URL of the link. type: string example: https://www.amazon.de/s?k=Künstliche+Intelligenz text: title: Text description: The anchor text of the link. type: string example: KI Brillen NlpDataEntity: type: object default: {} description: Natural Language Processing data for the article. properties: translation_summary: type: string description: | A brief AI-generated summary of the article's English translation. theme: type: string description: The themes or categories identified in the article. summary: type: string description: A brief AI-generated summary of the article content. sentiment: $ref: '#/components/schemas/SentimentScores' new_embedding: type: array items: type: number format: float description: > A dense 1024-dimensional vector representation of the article content, generated using the [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) model. Available for articles indexed before January 1, 2026. **Note**: The `new_embedding` field is only available in the `v3_nlp_embeddings` subscription plan. qwen_embedding: type: array items: type: number format: float description: > A dense 1024-dimensional vector representation of the article content, generated using the [Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding) model. Available for articles indexed from January 1, 2026 onward. Embeddings are computed from a combination of the article `title` and `content` fields. **Note**: The `qwen_embedding` field is only available in the `v3_nlp_embeddings` subscription plan. ner_PER: allOf: - $ref: '#/components/schemas/NamedEntityList' description: Named Entity Recognition for person entities (individuals' names). ner_ORG: allOf: - $ref: '#/components/schemas/NamedEntityList' description: >- Named Entity Recognition for organization entities (company names, institutions). ner_MISC: allOf: - $ref: '#/components/schemas/NamedEntityList' description: >- Named Entity Recognition for miscellaneous entities (events, nationalities, products). ner_LOC: allOf: - $ref: '#/components/schemas/NamedEntityList' description: >- Named Entity Recognition for location entities (cities, countries, geographic features). translation_ner_PER: allOf: - $ref: '#/components/schemas/NamedEntityList' description: > Named Entity Recognition for person entities (individuals' names) extracted from the English translation of the article. translation_ner_ORG: allOf: - $ref: '#/components/schemas/NamedEntityList' description: > Named Entity Recognition for organization entities (company names, institutions) extracted from the English translation of the article. translation_ner_MISC: allOf: - $ref: '#/components/schemas/NamedEntityList' description: > Named Entity Recognition for miscellaneous entities (events, nationalities, products) extracted from the English translation of the article. translation_ner_LOC: allOf: - $ref: '#/components/schemas/NamedEntityList' description: > Named Entity Recognition for location entities (cities, countries, geographic features) extracted from the English translation of the article. iptc_tags_name: type: array items: type: string description: > IPTC media topic taxonomy paths identified in the article content. Each path represents a hierarchical category following the IPTC standard. **Note**: The `iptc_tags_name` field is only available in the `v3_nlp_iptc_tags` subscription plan. iptc_tags_id: type: array items: type: string description: > IPTC media topic numeric codes identified in the article content. These codes correspond to the standardized IPTC media topic taxonomy. **Note**: The `iptc_tags_id` field is only available in the `v3_nlp_iptc_tags` subscription plan. iab_tags_name: type: array items: type: string description: > IAB content taxonomy paths identified in the article content. Each path represents a hierarchical category following the IAB content standard. **Note**: The `iab_tags_name` field is only available in the `v3_nlp_iptc_tags` subscription plan. AdditionalDomainInfoEntity: title: Additional Domain Info description: Additional information about the domain of the article. type: object properties: is_news_domain: title: Is News Domain description: Indicates whether the domain is a news domain. type: boolean news_type: title: News Type description: The type of news content provided by the domain. type: string news_domain_type: title: News Domain Type description: The type of news domain. type: string example: is_news_domain: true news_type: News and Blogs news_domain_type: Original Content SentimentScores: type: object description: Sentiment scores for the article's title and content. properties: title: type: number format: float description: The sentiment score for the article title (-1.0 to 1.0). content: type: number format: float description: The sentiment score for the article content (-1.0 to 1.0). NamedEntityList: type: array description: A list of named entities identified in the article. items: type: object properties: entity_name: type: string description: The name of the entity identified in the article. count: type: integer description: The number of times this entity appears in the article. securitySchemes: ApiKeyAuth: type: apiKey in: header name: x-api-token description: > API Key to authenticate requests. To access the API, include your API key in the `x-api-token` header. To obtain your API key, complete the [form](https://www.newscatcherapi.com/book-a-demo) or contact us directly. ````