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Archive Twitter replies for LLMs | Xquik

Archive raw Twitter replies for LLM processing. Keep sanitized source rows, normalized metadata, authors, links, and conversation depth.

Try for free
X (Twitter) Replies Scraper | $0.00015/Reply | Pay-Per-Result
X (Twitter) Replies Scraper | $0.00015/Reply | Pay-Per-Resultxquik/x-reply-scraper
Reply text
Reply URL
Author username
Reply ID
+8 fields
Text
Number
Boolean
List
Object

Input

Tweet IDs:2082577277246972300
Output detail:raw
Maximum delivered rows:1000

Output fields

Reply text
Reply URL
Author username
Reply ID
Reply depth
Original post
Likes
Child replies
Retweet time
Diagnostic status
Diagnostic message
Source Tweet ID

How it works

Sign up on Apify or log in

The X (Twitter) Replies Scraper | $0.00015/Reply | Pay-Per-Result Actor is ready to run with the inputs already set for "Archive Twitter replies for LLMs | Xquik". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Archive Twitter replies for LLMs | Xquik" task

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

Receive the "Archive Twitter replies for LLMs | Xquik" 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 reply text, reply url, author username, 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 "Archive Twitter replies for LLMs | Xquik" task via API.

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