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Monitor news coverage of Starbucks from the past week

Collects up to 30 news articles about Starbucks published in the past 7 days, each with the real publisher link instead of a Google redirect, the source, publish time, image, summary and author. PR teams, investors and competitors schedule it daily to follow a brand. Quotes, OR and -exclude work in the query to sharpen it.

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Google News Scraper: Real Article URLs & Full Text
Google News Scraper: Real Article URLs & Full Textstratumics/google-news-scraper
Image
Title
Article URL
Source
+5 fields
Text
Number
Boolean
List
Object

Input

Search queries:Starbucks
Country and language:US:en
Time range:7d
Max articles per query or topic:30

Output fields

Image
Title
Article URL
Source
Published
Description
Author
Query
Topic

How it works

Sign up on Apify or log in

The Google News Scraper: Real Article URLs & Full Text Actor is ready to run with the inputs already set for "Monitor news coverage of Starbucks from the past week". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Monitor news coverage of Starbucks from the past week" task

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

Receive the "Monitor news coverage of Starbucks from the past week" 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 image, title, article url, 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 "Monitor news coverage of Starbucks from the past week" task via API.

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Integrate "Monitor news coverage of Starbucks from the past week" into your workflow

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