Go to example tasks
Give an AI agent live tweets through MCP
Created by
JEB
Give a language model live tweets. Connect your MCP client to https://mcp.apify.com, then call call-actor with the name altimis/scweet and the input below. The agent receives structured tweets with the engagement counts and a link for each one. Claude, Cursor, and any other MCP client work the same way, and you host nothing.
Scweet Twitter/X Scraperaltimis/scweet
Tweet URL
Tweet ID
Text
Retweets
+10 fieldsTextNumberBooleanListObject
Input
Search query:apify OR "web scraping"
From date:2026-08-27
To date:2026-09-03
Maximum results(required):200
Sort:Latest
Output fields
Tweet URL
Tweet ID
Text
Retweets
Replies
Likes
Quotes
Created At
Bookmarks
Language
User Handle
Followers
Source Root
Source
Sign up on Apify01
Create your Apify account to access the Scweet Twitter/X Scraper.
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.
