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Scrape tweets by URL or ID: text, likes, author, media
Created by
Blackcube
Ready-to-run example: two tweet URLs in, each tweet out as one row with text, exact like and reply counts, author flags, expanded links and media. No login.
Tweet Scraper - Tweets by URL or ID, No Loginvonsensey/tweet-scraper
Row
Tweet
Author
Text
+6 fieldsTextNumberBooleanListObject
Input
Tweet URLs or IDs:https://x.com/jack/status/20+1
Maximum tweets:1000
Output fields
Row
Tweet
Author
Text
Likes
Replies
Posted
Media
Quoted
Input
Sign up on Apify01
Create your Apify account to access the Tweet Scraper - Tweets by URL or ID, No Login.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
