Backfill Google News archive for a topic day by day

Created by

Tenfold Fleet

Actor

Google News Scraper - Articles, Real URLs & Full Text

Runs one Google News search per day across a date range to get more than the ~100-article feed limit. For researchers and data teams building historical news datasets. Output: query, title, publisher, publishedAt, googleNewsUrl, articleUrl.

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Google News Scraper - Articles, Real URLs & Full Texttenfoldfleet/google-news-scraper

Query

Title

Publisher

+4 fields

Input

Search queries:Federal Reserve interest rates

Published after (date):2025-03-17

Published before (date):2025-03-19

Split date range by day (get more than 100 articles):true

Max articles per query or topic:150

Output fields

Query

Title

Publisher

Published

Article URL

Text chars

Error

How it works

Sign up on Apify or log in

The Google News Scraper - Articles, Real URLs & Full Text Actor is ready to run with the inputs already set for "Backfill Google News archive for a topic day by day". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Backfill Google News archive for a topic day by day" task

The Google News Scraper - Articles, Real URLs & Full Text Actor will start running based on the input automatically. You can also change all the input fields, like search queries, published after (date), and more, to match your specific use case.

Receive the "Backfill Google News archive for a topic day by day" 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 query, #, 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 "Backfill Google News archive for a topic day by day" task via API.