Build a Twitter Data Pipeline for Research

Created by

Thirdwatch

Actor

Twitter/X Profile Scraper - Tweets, Likes & Media

Scrape public tweets: text, likes, retweets, replies, date and media, ready for entity extraction and Postgres. Build a Twitter/X research data pipeline from an

Try for free

Twitter/X Profile Scraper - Tweets, Likes & Mediathirdwatch/twitter-scraper

Username

Likes

Retweets

+4 fields

Input

Twitter/X Usernames:nasa

Max Posts Per User:10

Output fields

Username

Likes

Retweets

Replies

Posted Date

Media Type

URL

How it works

Sign up on Apify or log in

The Twitter/X Profile Scraper - Tweets, Likes & Media Actor is ready to run with the inputs already set for "Build a Twitter Data Pipeline for Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a Twitter Data Pipeline for Research" task

The Twitter/X Profile Scraper - Tweets, Likes & Media Actor will start running based on the input automatically. You can also change all the input fields, like twitter/x usernames and max posts per user, to match your specific use case.

Receive the "Build a Twitter Data Pipeline for Research" 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 username, tweet, likes, 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 a Twitter Data Pipeline for Research" task via API.