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Google News Tesla Headlines β€” Past 7 Days, Newest First

Track the past week of Tesla coverage on Google News (US edition, English, newest first) for brand monitoring, PR reports and market research. Each row has the headline, publisher name and domain, relative and UTC publish date, the publisher's real article URL, the Google News link, and the snippet, image, author, section and keywords when the article page allows it.

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Google News Scraper
Google News Scraperinsights_data/google-news-scraper
Position
Title
Link
Source
+4 fields
Text
Number
Boolean
List
Object

Input

πŸ”Ž Search terms:Tesla
⏳ Time period:7d
πŸ”ƒ Sort order:date
πŸ“ Country edition:US
πŸ”€ News language:en
πŸ”’ Maximum articles:15

Output fields

Position
Title
Link
Source
Published (relative)
Published (UTC)
Snippet
Thumbnail

How it works

Sign up on Apify or log in

The Google News Scraper Actor is ready to run with the inputs already set for "Google News Tesla Headlines β€” Past 7 Days, Newest First". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Google News Tesla Headlines β€” Past 7 Days, Newest First" task

The Google News Scraper Actor will start running based on the input automatically. You can also change all the input fields, like πŸ”Ž search terms, ⏳ time period, and more, to match your specific use case.

Receive the "Google News Tesla Headlines β€” Past 7 Days, Newest First" 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 position, title, link, 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 "Google News Tesla Headlines β€” Past 7 Days, Newest First" task via API.

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