Build an X (Twitter) dataset for RAG and LLM training

Created by

ScrapeBadger

Actor

X Tweet Scraper | $0.15/1K Tweets | Pay-Per-Result

Collect a topic-scoped corpus of public posts as clean JSON, ready to chunk and embed for retrieval-augmented generation.

Try for free

X Tweet Scraper | $0.15/1K Tweets | Pay-Per-Resultscrape.badger/twitter-tweets-scraper

Text

Username

Created At

+5 fields

Input

Mode(required):Advanced Search

Search Query:("vector database" OR "embeddings") lang:en -is:retweet

Query Type:Latest

Max Results:1000

Output fields

Text

Username

Created At

Likes

Retweets

Replies

Views

Language

How it works

Sign up on Apify or log in

The X Tweet Scraper | $0.15/1K Tweets | Pay-Per-Result Actor is ready to run with the inputs already set for "Build an X (Twitter) dataset for RAG and LLM training". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build an X (Twitter) dataset for RAG and LLM training" task

The X Tweet Scraper | $0.15/1K Tweets | Pay-Per-Result Actor will start running based on the input automatically. You can also change all the input fields, like mode, search query, and more, to match your specific use case.

Receive the "Build an X (Twitter) dataset for RAG and LLM training" 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 ID, text, 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 "Build an X (Twitter) dataset for RAG and LLM training" task via API.