Extract a Twitter article for RAG and AI agents

Created by

Xquik

Actor

X (Twitter) Tweet Scraper | $0.00015/Tweet | Pay-Per-Result

Turn a public long-form X article into structured data that AI agents can retrieve, summarize, cite, and analyze in downstream workflows.

Try for free

X (Twitter) Tweet Scraper | $0.00015/Tweet | Pay-Per-Resultxquik/x-tweet-scraper

Text

Tweet URL

Author

Tweet ID

+4 fields

Input

Mode:article

Article Tweet IDs:2021256989876109403

Max items:1000

Output variant:rich

Output fields

Text

Tweet URL

Author

Tweet ID

Media

Retweet time

Status

Message

How it works

Sign up on Apify or log in

The X (Twitter) Tweet Scraper | $0.00015/Tweet | Pay-Per-Result Actor is ready to run with the inputs already set for "Extract a Twitter article for RAG and AI agents". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract a Twitter article for RAG and AI agents" task

The X (Twitter) Tweet Scraper | $0.00015/Tweet | Pay-Per-Result Actor will start running based on the input automatically. You can also change all the input fields, like mode, article tweet ids, and more, to match your specific use case.

Receive the "Extract a Twitter article for RAG and AI agents" 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 text, tweet url, author, 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 "Extract a Twitter article for RAG and AI agents" task via API.