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Build Twitter audience data for AI agents

Collect normalized public follower profiles with source metadata and full fields for AI agents, enrichment workflows, and analysis.

Try for free
X (Twitter) Followers Scraper | $0.00015/User | Pay-Per-Result
X (Twitter) Followers Scraper | $0.00015/User | Pay-Per-Resultxquik/x-follower-scraper
Username
Display name
Bio
Website
+19 fields
Text
Number
Boolean
List
Object

Input

X handles:OpenAI
Relation:followers
Max items:1000
Output mode:full
Tag with source target:true

Output fields

Username
Display name
Bio
Website
User ID
Followers
Following
Verified
Location
Account created at
Tweets
Verified type
Status
Message
Source target
Source relation
Source URL
Source targets
Source relations
Source URLs
Overlap count
Schema version
Schema version (snake_case)

How it works

Sign up on Apify or log in

The X (Twitter) Followers Scraper | $0.00015/User | Pay-Per-Result Actor is ready to run with the inputs already set for "Build Twitter audience data for AI agents". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build Twitter audience data for AI agents" task

The X (Twitter) Followers Scraper | $0.00015/User | Pay-Per-Result Actor will start running based on the input automatically. You can also change all the input fields, like x handles, relation, and more, to match your specific use case.

Receive the "Build Twitter audience data for AI agents" 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, display name, bio, 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 Twitter audience data for AI agents" task via API.

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Integrate "Build Twitter audience data for AI agents" into your workflow

Connect "Build Twitter audience data for AI agents" with 100+ integrations, or run it via API or MCP.

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