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Refresh a Twitter article watchlist

Rerun selected articles to capture current engagement while article IDs and dates support updates.

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Twitter Article Scraper
Twitter Article Scraperreapx/twitter-article-scraper
What I found
Full article body text
Announcing post text
Number of media items in the article
+8 fields
Text
Number
Boolean
List
Object

Input

Which source URLs?:https://x.com/GridironEdgeX/status/2091265474021798057
How many results?:3
How long may the run continue?:180

Output fields

What I found
Full article body text
Announcing post text
Number of media items in the article
Preview blurb X shows for the article
Likes on the announcing post
Replies on the announcing post
Reposts of the announcing post
Views of the announcing post
Article publish time as ISO timestamp
Extracted at
Announcing post ID

How it works

Sign up on Apify or log in

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

Start the "Refresh a Twitter article watchlist" 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?, how many results?, and more, to match your specific use case.

Receive the "Refresh a Twitter article watchlist" 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 what i found, full article body text, announcing post text, 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 "Refresh a Twitter article watchlist" task via API.

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