Newscatcher Authors API

openapi: 3.2.0
info:
  title: NewsCatcher News Authors 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: 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
paths:
  /api/authors:
    get:
      x-fern-sdk-group-name: authors
      x-fern-sdk-method-name: get
      tags:
      - Authors
      summary: Search articles by author
      description: Searches for articles written by a specified author. You can filter results by language, country, source, and more.
      operationId: authorsGet
      parameters:
      - $ref: '#/components/parameters/AuthorName'
      - $ref: '#/components/parameters/NotAuthorName'
      - $ref: '#/components/parameters/PredefinedSources'
      - $ref: '#/components/parameters/Sources'
      - $ref: '#/components/parameters/NotSources'
      - $ref: '#/components/parameters/Lang'
      - $ref: '#/components/parameters/NotLang'
      - $ref: '#/components/parameters/Countries'
      - $ref: '#/components/parameters/NotCountries'
      - $ref: '#/components/parameters/From'
      - $ref: '#/components/parameters/To'
      - $ref: '#/components/parameters/PublishedDatePrecision'
      - $ref: '#/components/parameters/ByParseDate'
      - $ref: '#/components/parameters/SortBy'
      - $ref: '#/components/parameters/RankedOnly'
      - $ref: '#/components/parameters/FromRank'
      - $ref: '#/components/parameters/ToRank'
      - $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/IncludeTranslationFields'
      - $ref: '#/components/parameters/IncludeNlpData'
      - $ref: '#/components/parameters/HasNlp'
      - $ref: '#/components/parameters/Theme'
      - $ref: '#/components/parameters/NotTheme'
      - $ref: '#/components/parameters/NerName'
      - $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/AuthorsResponse'
        '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'
    post:
      x-fern-sdk-group-name: authors
      x-fern-sdk-method-name: post
      tags:
      - Authors
      summary: Search articles by author
      description: Searches for articles by author. You can filter results by language, country, source, and more.
      operationId: authorsPost
      requestBody:
        $ref: '#/components/requestBodies/AuthorsRequestBody'
      responses:
        '200':
          $ref: '#/components/responses/AuthorsResponse'
        '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:
  schemas:
    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
    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
    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:\n- Required fields are guaranteed to be present and non-null. \n- Optional fields may be `null` or `undefined` if the data point is not presented or couldn't be extracted during processing.\n- 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.).\n- The `nlp` property within the article object `articles[n].nlp` is only available with NLP-enabled subscription plans.\n"
      allOf:
      - $ref: '#/components/schemas/BaseSearchResponseDto'
      - type: object
        properties:
          articles:
            $ref: '#/components/schemas/ArticlesDto'
          user_input:
            $ref: '#/components/schemas/UserInputDto'
    FailedAuthorsResponseDto:
      title: Failed Authors Search Response
      description: The response model for a failed `Authors` search request.
      allOf:
      - $ref: '#/components/schemas/BaseSearchResponseDto'
      - type: object
        properties:
          articles:
            title: Articles
            description: An empty list of articles, as no matches were found.
            type: array
            items:
              type: object
            default: []
          user_input:
            $ref: '#/components/schemas/UserInputDto'
    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
    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).
    FromRank:
      type: integer
      minimum: 1
      maximum: 999999
      default: 1
      format: int32
      description: 'The lowest boundary of the rank of a news website to filter by. A lower rank indicates a more popular source.

        '
      example: 100
    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
    From:
      oneOf:
      - type: string
        format: date-time
        example: 2024-07-01 00:00:00
      - type: string
        example: 1 day ago
      default: 7 days ago
      description: "The starting point in time to search from. Accepts date-time strings in ISO 8601 format and plain text strings. The default time zone is UTC. \n\nFormats with examples:\n- YYYY-mm-ddTHH:MM:SS: `2024-07-01T00:00:00`\n- YYYY-MM-dd: `2024-07-01`\n- YYYY/mm/dd HH:MM:SS: `2024/07/01 00:00:00`\n- YYYY/mm/dd: `2024/07/01`\n- English phrases: `7 day ago`, `today`\n- Duration shorthand: `7d`, `30d`, `24h`, `48h`\n\n**Note**: By default, applied to the publication date of the article. To use the article's parse date instead, set the `by_parse_date` parameter to `true`.\n"
      example: 2021/01/01
    ArticlesDto:
      title: Articles
      description: A list of articles matching the search criteria.
      type: array
      items:
        $ref: '#/components/schemas/ArticleEntity'
      default: []
    ContentSentimentMax:
      type: number
      format: float
      minimum: -1.0
      maximum: 1.0
      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
    WordCountMax:
      type: integer
      minimum: 0
      description: "The maximum number of words an article can contain. \nTo be used for avoiding articles with large content.\n"
      example: 1000
    UserInputDto:
      type: object
      description: The user input parameters for the request.
      additionalProperties: 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`.

        '
    AllDomainLinks:
      oneOf:
      - type: string
        example: who.int, nih.gov
      - type: array
        items:
          type: string
        example:
        - who.int
        - nih.gov
      description: 'The domain(s) mentioned in the article. For multiple domains, use a comma-separated string or an array of strings.


        For more details, see [Search by URL](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-url).

        '
    AllLinksText:
      oneOf:
      - type: string
        example: Nvidia, Tesla
      - type: array
        items:
          type: string
        example:
        - Nvidia
        - Tesla
      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 or an array of strings.


        **Note**: When this parameter is used, the response includes the `all_links_data` field with detailed link information.


        For more details, see [Search by URL](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-url).

        '
    Countries:
      oneOf:
      - type: string
        example: US,CA
      - type: array
        items:
          type: string
        example:
        - US
        - CA
      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 or an array of strings.


        To learn more, see [Enumerated parameters > Country](https://www.newscatcherapi.com/docs/news-api/api-reference/enumerated-parameters#country-country-and-not-country).

        '
    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
    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
    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
    PageSize:
      type: integer
      minimum: 1
      maximum: 1000
      default: 100
      description: 'The number of articles to return per page.

        '
      example: 50
    NotLang:
      oneOf:
      - type: string
        example: fr,de
      - type: array
        items:
          type: string
        example:
        - fr
        - de
      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 or an array of strings.


        To learn more, see [Enumerated parameters > Language](https://www.newscatcherapi.com/docs/news-api/api-reference/enumerated-parameters#language-lang-and-not-lang).

        '
    Lang:
      oneOf:
      - type: string
        example: en,es
      - type: array
        items:
          type: string
        example:
        - en
        - es
      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 or an array of strings.


        To learn more, see [Enumerated parameters > Language](https://www.newscatcherapi.com/docs/news-api/api-reference/enumerated-parameters#language-lang-and-not-lang).

        '
    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
    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
    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
    To:
      oneOf:
      - type: string
        example: now
      - type: string
        format: date-time
        example: 2024-01-01 00:00:00
      description: "The ending point in time to search up to. Accepts date-time strings in ISO 8601 format and plain text strings. The default time zone is UTC. \n\nFormats with examples:\n- YYYY-mm-ddTHH:MM:SS: `2024-07-01T00:00:00`\n- YYYY-MM-dd: `2024-07-01`\n- YYYY/mm/dd HH:MM:SS: `2024/07/01 00:00:00`\n- YYYY/mm/dd: `2024/07/01`\n- English phrases: `1 day ago`, `now`\n- Duration shorthand: `7d`, `30d`, `24h`, `48h`\n\n**Note**: By default, applied to the publication date of the article. To use the article's parse date instead, set the `by_parse_date` parameter to `true`.\n"
      default: now
    TitleSentimentMax:
      type: number
      format: float
      minimum: -1.0
      maximum: 1.0
      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
    AllLinks:
      oneOf:
      - type: string
        example: https://aiindex.stanford.edu/report/, https://www.stateof.ai/
      - type: array
        items:
          type: string
        example:
        - https://aiindex.stanford.edu/report/
        - https://www.stateof.ai/
      description: 'The complete URL(s) mentioned in the article. For multiple URLs, use a comma-separated string or an array of strings.


        For more details, see [Search by URL](https://www.newscatcherapi.com/docs/news-api/how-to/search-by-url).

        '
    IsHeadline:
      type: boolean
      description: 'If true, only returns articles that were posted on the home page of a given news domain.

        '
      example: true
    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.
    ToRank:
      type: integer
      minimum: 1
      maximum: 999999
      default: 999999
      format: int32
      description: 'The highest boundary of the rank of a news website to filter by. A lower rank indicates a more popular source.

        '
      example: 100
    NerName:
      type: string
      description: "The name of person, organization, location, product or other named entity to search for. To specify multiple names use a comma-separated string. \n\nExample: `\"Tesla, Amazon\"`\n"
      example: Tesla,Amazon
    NotAuthorName:
      oneOf:
      - type: string
        example: John Doe, Jane Doe
      - type: array
        items:
          type: string
        example:
        - John Doe
        - Jane Doe
      description: 'The list of author names to exclude from your search. To exclude articles by specific authors, use a comma-separated string or an array of strings.

        '
    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
    AuthorName:
      type: string
      description: 'The name of the author to search for. This parameter returns exact matches only.

        '
      example: Jane Smith
    ContentSentimentMin:
      type: number
      format: float
      minimum: -1.0
      maximum: 1.0
      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
    PublishedDatePrecision:
      type: string
      description: 'The precision of the published date. There are three types:

        - `full`: The day and time of an article is correctly identified with the appropriate timezone.

        - `timezone unknown`: The day and time of an article is correctly identified without timezone.

        - `date`: Only the day is identified without an exact time.

        '
      example: full
    NotSources:
      oneOf:
      - type: string
        example: cnn.com, wsj.com
      - type: array
        items:
          type: string
        example:
        - cnn.com
        - wsj.com
      description: 'The news sources to exclude from the search. To exclude multiple sources, use a comma-separated string or an array of strings.

        '
    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. \n\nFor details, see [Retrieve large datasets](https://www.newscatcherapi.com/docs/news-api/how-to/retrieve-more-than-10k-articles)\n"
      example: 2
    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
    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.

            '
    NotIabTags:
      oneOf:
      - type: string
        example: Agriculture,Metals
      - type: array
        items:
          type: string
        example:
        - Agriculture
        - Metals
      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 or an array of strings. \n\n**Note**: The `not_iab_tags` parameter is only available in the `v3_nlp_iptc_tags` subscription plan.\n\nTo learn more, see the [IAB Content taxonomy](https://iabtechlab.com/standards/content-taxonomy/).\n"
    NotIptcTags:
      oneOf:
      - type: string
        example: 20000205, 20000209
      - type: array
        items:
          type: string
        example:
        - '20000205'
        - '20000209'
      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 or an array of strings. \n\n**Note**: The `not_iptc_tags` parameter is only available in the `v3_nlp_iptc_tags` subscription plan.\n\nTo learn more, see [IPTC Media Topic NewsCodes](https://www.iptc.org/std/NewsCodes/treeview/mediatopic/mediatopic-en-GB.html).\n"
    ParentUrl:
      oneOf:
      - type: string
        example: wsj.com/politics,wsj.com/tech
      - type: array
        items:
          type: string
        example:
        - wsj.com/politics
        - wsj.com/tech
      description: 'The categorical URL(s) to filter your search. To filter your search by multiple categorical URLs, use a comma-separated string or an array of strings.

        '
    NotCountries:
      oneOf:
      - type: string
        example: UK,FR
      - type: array
        items:
          type: string
        example:
        - UK
        - FR
      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 or an array of strings.


        To learn more, see [Enumerated parameters > Country](https://www.newscatcherapi.com/docs/news-api/api-reference/enumerated-parameters#country-country-and-not-country).

        '
    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

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