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Source-linked Google News research corpus
Created by
Khadin Akbar
Build a source-linked Google News corpus for a topic with article URLs, dates, snippets, and full-text research fields.
Google News Scraper — Articles & Sourceskhadinakbar/google-news-scraper
Title
Source
Published
Query
+8 fieldsTextNumberBooleanListObject
Input
Search Queries (Keywords):electric vehicles
Built-in Google News Topics:TECHNOLOGY+1
Custom Google News Section URLs:https://news.google.com/topics/CAAqJggKIiBDQkFTRWdvSUwyMHZNRGRqTVhZU0FtVnVHZ0pWVXlnQVAB
Direct RSS Feed URLs
url:https://news.google.com/rss/search?q=bitcoin&hl=en&gl=US&ceid=US:en
Max Articles Per Query / Topic:10
Region & Language:US:en
Time Range (Published Within):30d
Extract Full Article Text:true
Decode Real Article URLs:false
Deduplicate Results:true
Output fields
Title
Source
Published
Query
Topic
Article URL
Google News Link
Snippet
Image
Full Text
Word Count
Scraped At
Sign up on Apify01
Create your Apify account to access the Google News Scraper — Articles & Sources.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
