X Reply Scraper for RAG datasets | Xquik
Build an X reply dataset for RAG and retrieval. Preserve Twitter comment text, authors, parent links, source IDs, and thread depth.
Input
Output fields
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The X (Twitter) Replies Scraper | $0.00015/Reply | Pay-Per-Result Actor is ready to run with the inputs already set for "X Reply Scraper for RAG datasets | Xquik". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "X Reply Scraper for RAG datasets | 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, collection strategy, and more, to match your specific use case.
Receive the "X Reply Scraper for RAG datasets | 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 conversation root id, parent reply id, reply depth, 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 "X Reply Scraper for RAG datasets | Xquik" task via API.
