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News narrative risk and blindspot monitor

Build an enriched Ground News snapshot with coverage splits, blindspots, factuality, ownership, topics, and source articles for analysis.

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Ground News Bias & Coverage Scraper
Ground News Bias & Coverage Scraperautomation-lab/ground-news-bias-coverage-scraper
Story ID
Title
Ground News URL
Summary
+11 fields
Text
Number
Boolean
List
Object

Input

Maximum story clusters:50
Include nested source articles:true

Output fields

Story ID
Title
Ground News URL
Summary
Published at
Total sources
Bias-rated sources
Left %
Center %
Right %
Coverage profile
Factuality
Ownership
Source articles
Scraped at

How it works

Sign up on Apify or log in

The Ground News Bias & Coverage Scraper Actor is ready to run with the inputs already set for "News narrative risk and blindspot monitor". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "News narrative risk and blindspot monitor" task

The Ground News Bias & Coverage Scraper Actor will start running based on the input automatically. You can also change all the input fields, like maximum story clusters and include nested source articles, to match your specific use case.

Receive the "News narrative risk and blindspot monitor" 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 story id, title, ground news 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 "News narrative risk and blindspot monitor" task via API.

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Integrate "News narrative risk and blindspot monitor" into your workflow

Connect "News narrative risk and blindspot monitor" with 100+ integrations, or run it via API or MCP.

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