Twitter Article Extractor
Maxime Dupré
Use numeric X post IDs to extract public long-form Articles as Markdown and plain text. The dataset keeps the Article, source post, author, links, media references, and public engagement counts when available.
Input
Output fields
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The Twitter Article Scraper Actor is ready to run with the inputs already set for "Twitter Article Extractor". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Twitter Article Extractor" task
The Twitter Article Scraper Actor will start running based on the input automatically. You can also change all the input fields, like find articles by, post urls, and more, to match your specific use case.
Receive the "Twitter Article Extractor" 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 article, source post, and author.
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 Extractor" task via API.
