Get latest headlines
Returns the most recent articles ('headlines') published since a given lookback window, specified via the when parameter, up to now. Supports filtering by language, country, source, and dozens of other parameters; results can optionally be grouped into clusters of similar articles.
Request
- Base URLhttps://v3-api.newscatcherapi.com (the document declares no server; this is the origin it was published from)
- Authnone declared. Required headers: x-api-token
Query parameters
How far back to look for headlines, replacing from_/to_ for this endpoint. Format: '<N>d' for N days ago or '<N>h' for N hours ago (e.g. '7d', '24h'). Results run from this point up to now.
Sort order for results: 'relevancy' (default, best text match first), 'date' (newest first), '-date' (oldest first), or 'rank' (most authoritative source first).
Which article field to base clustering similarity on: 'content', 'title', or 'summary'.
For NLP-enabled plans, controls whether the nlp object is included in the response for each article (excluded by default). Basic plan always includes nlp.theme regardless of this setting.
When true, only returns articles that have NLP enrichment data. Requires an NLP plan.
Filter by article theme. One of: Business, Politics, Entertainment, Sports, Finance, Crime, Tech, General, Health, Economics, Science, Automotive, Weather, Travel, Lifestyle, Financial Crime. Comma-separated values are OR'd together; values joined with ' AND ' within one comma-separated group must all match the same article (e.g. 'Tech AND Finance,Sports' matches Tech-and-Finance articles, or Sports articles).
Exclude articles with any of the given themes. Same allowed values as theme, but does not support ' AND ' grouping - always excludes on any match.
Filter articles that mention the given organization name(s) in NLP-extracted named entities. Requires an NLP plan.
Filter articles that mention the given person name(s) in NLP-extracted named entities. Requires an NLP plan.
Filter articles that mention the given location name(s) in NLP-extracted named entities. Requires an NLP plan.
Filter articles that mention the given miscellaneous entity name(s) in NLP-extracted named entities. Requires an NLP plan.
Minimum sentiment score for the article title, from -1 (most negative) to 1 (most positive), as determined by NLP analysis. Requires an NLP plan.
Maximum sentiment score for the article title, from -1 (most negative) to 1 (most positive), as determined by NLP analysis. Requires an NLP plan.
Minimum sentiment score for the article content, from -1 (most negative) to 1 (most positive), as determined by NLP analysis. Requires an NLP plan.
Maximum sentiment score for the article content, from -1 (most negative) to 1 (most positive), as determined by NLP analysis. Requires an NLP plan.
Headers
Your NewsCatcher API key, used to authenticate this request.
Response
Successful Response
Changes
No recorded changes to this operation across all 1 revision of this API.