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Twitter article text corpus

Collect full article and tweet text together for topic, narrative and audience-language research.

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Twitter Article Scraper
Twitter Article Scraperreapx/twitter-article-scraper
Announcing post ID
Numeric article ID X issued
Canonical x.com article URL
Full article body text
+1 field
Text
Number
Boolean
List
Object

Input

Which source URLs?:https://x.com/GridironEdgeX/status/2091265474021798057
How many results?:3

Output fields

Announcing post ID
Numeric article ID X issued
Canonical x.com article URL
Full article body text
Announcing post text

How it works

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The Twitter Article Scraper Actor is ready to run with the inputs already set for "Twitter article text corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Twitter article text corpus" task

The Twitter Article Scraper Actor will start running based on the input automatically. You can also change all the input fields, like which source urls? and how many results?, to match your specific use case.

Receive the "Twitter article text corpus" 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 announcing post id, numeric article id x issued, canonical x.com 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 "Twitter article text corpus" task via API.

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