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Full text of Google News articles on a topic

Google News articles about a topic ("artificial intelligence") from the last 7 days with the full article text read from each news site (about 8 sites in 10 allow it; articles that can't be read are marked), plus title, source, date, author and image when available. Ready for summaries, sentiment analysis and AI pipelines.

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Google News Scraper – Full Text & Direct URLs
Google News Scraper – Full Text & Direct URLsbrii3343/google-news-scraper-full-text
Search
#
Title
Source
+8 fields
Text
Number
Boolean
List
Object

Input

Search queries:artificial intelligence
Time range:7d
Full text, image and author:true
Max articles per search:30

Output fields

Search
#
Title
Source
Published
Link
Image
Author
Words
Description
Status
Message

How it works

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The Google News Scraper – Full Text & Direct URLs Actor is ready to run with the inputs already set for "Full text of Google News articles on a topic". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Full text of Google News articles on a topic" task

The Google News Scraper – Full Text & Direct URLs Actor will start running based on the input automatically. You can also change all the input fields, like search queries, time range, and more, to match your specific use case.

Receive the "Full text of Google News articles on a topic" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as search, #, title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Full text of Google News articles on a topic" task via API.

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