POST
/
api
/
latest_headlines

Authorizations

x-api-token
string
headerrequired

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 or contact us directly.

Body

application/json
associated_towns
object[]
required

An array of town entities related to the articles. Each town entity contains information about a specific town and the association methods to be used for searching.

To learn more, see Town association methods.

when
string
default: 7d

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
search_in_ai_associated_town
boolean
default: false

Determines whether to include AI-extracted town names in the search. If true, the API searches for articles mentioning AI-extracted towns and towns specified in the associated_towns parameter.

Note: The search_in_ai_associated_town parameter is only available for the v3_local_news_ai_extraction_nlp plan. Data for AI-associated towns is only available from September 24, 2024, onwards.

lang

The language(s) of the search. The only accepted format is the two-letter ISO 639-1 code. To select multiple languages, use a comma-separated string or an array of strings.

Examples:

  • "en,es"
  • ["en", "es"]

To learn more, see Enumerated parameters > Language.

sources

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 or an array of strings.

Examples:

  • "nytimes.com, theguardian.com"
  • ["nytimes.com", "theguardian.com"]
not_sources

The news sources to exclude from the search. To exclude multiple sources, use a comma-separated string or an array of strings.

Examples:

  • "cnn.com, wsj.com"
  • ["cnn.com", "wsj.com"]
parent_url

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.

Examples:

  • "wsj.com/politics,wsj.com/tech"
  • ["wsj.com/politics", "wsj.com/tech"]
is_paid_content
boolean

If false, returns only articles that have publicly available complete content. Some publishers partially block content, so this setting ensures that only full articles are retrieved.

page
integer
default: 1

The page number to scroll through the results. This parameter is used to paginate: scroll through results because one API response cannot return more than 1000 articles.

Required range: x > 1
page_size
integer
default: 100

The number of articles to return per page. Range: 1 to 1000.

Required range: 1 < x < 1000
word_count_min
integer

The minimum number of words an article must contain. To be used for avoiding articles with small content.

Required range: x > 0
word_count_max
integer

The maximum number of words an article can contain. To be used for avoiding articles with large content.

Required range: x > 0
clustering
boolean
default: false

Determines whether to group similar articles into clusters. If true, the API returns clustered results.

To learn more, see Clustering news articles.

theme

Filters articles based on their general topic, as determined by NLP analysis. To select multiple themes, use a comma-separated string or an array of strings.

Examples:

  • "Finance, Tech"
  • ["Finance", "Tech"]

To learn more, see NLP features.

Available options: Business, Economics, Entertainment, Finance, Health, Politics, Science, Sports, Tech, Crime, Financial Crime, Lifestyle, Automotive, Travel, Weather, General.

PER_entity_name

Filters articles that mention specific person names, as identified by NLP analysis. To specify multiple names, use a comma-separated string or an array of strings.

Examples:

  • "Elon Musk, Jeff Bezos"
  • ["Elon Musk", "Jeff Bezos"]

To learn more, see Search by entity.

LOC_entity_name

Filters articles that mention specific location names, as identified by NLP analysis. To specify multiple locations, use a comma-separated string or an array of strings.

Examples:

  • "California, New York"
  • ["California", "New York"]

To learn more, see Search by entity.

MISC_entity_name

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 a comma-separated string or an array of strings.

Examples:

  • "Bitcoin, Blockchain"
  • ["Bitcoin", "Blockchain"]

To learn more, see Search by entity.

ORG_entity_name

Filters articles that mention specific organization names, as identified by NLP analysis. To specify multiple organizations, use a comma-separated string or an array of strings.

Examples:

  • "Apple, Microsoft"
  • ["Apple", "Microsoft"]

To learn more, see Search by entity.

title_sentiment_min
number

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.

Required range: -1 < x < 1
title_sentiment_max
number

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.

Required range: -1 < x < 1
content_sentiment_min
number

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.

Required range: -1 < x < 1
content_sentiment_max
number

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.

Required range: -1 < x < 1

Response

200 - application/json

The response model for the Latest headlines request.

status
string
default: okrequired

The status of the response.

total_hits
integer
required

The total number of articles matching the search criteria.

page
integer
required

The current page number of the results.

total_pages
integer
required

The total number of pages available for the given search criteria.

page_size
integer
required

The number of articles per page.

articles
object[]

A list of articles matching the search criteria.

user_input
object

The user input parameters for the search.