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Collect Twitter data for academic research
Created by
Xquik
Build a bounded public-post dataset about climate change with source queries, timestamps, engagement, authors, and language metadata.
X Tweet Scraper | $0.00015/Tweet | Pay-Per-Resultxquik/x-tweet-scraper
Text
Tweet URL
Author
Author username
+20 fieldsTextNumberBooleanListObject
Input
Search terms:"climate change" lang:en -filter:nativeretweets+1
Sort by:Latest + Top
Max items:1000
Tag each result with its search term:true
Output variant:rich
Output fields
Text
Tweet URL
Author
Author username
Tweet ID
Created at
Likes
Replies
Retweets
Quotes
Views
Bookmarks
Media URLs
Language
Retweet time
Status
Message
Actor version
Result type
Reply coverage
Source Tweet ID
Source target
Engagement mode
Search term
Sign up on Apify01
Create your Apify account to access the X Tweet Scraper | $0.00015/Tweet | Pay-Per-Result.
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.
