extract-followers

Extract follower data from public X accounts to CSV or JSONL.

177|17|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/Xquik-dev/x-twitter-scraper --skill extract-followers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: extract-followers
Source: https://github.com/Xquik-dev/x-twitter-scraper/tree/main/skills/extract-followers
Command: npx skills add https://github.com/Xquik-dev/x-twitter-scraper --skill extract-followers

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extracting follower data from public X accounts manually is tedious and error-prone; this skill automates pulling follower profiles, applying filters (verified status), and exporting results to CSV or JSONL for analysis.

Core Features & Use Cases

  • Pull follower profiles for public X accounts.
  • Filter by verified status and apply thresholds to focus on relevant audiences.
  • Export results to CSV or JSONL for analysis and integration with data pipelines.

Quick Start

Run a follower extraction for a target username and export results to CSV.

Frequently Asked Questions about extract-followers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract Twitter followers and export the profile data to CSV?

You can extract public X followers by running an automated extraction that pulls profile data and exports results directly to CSV or JSONL. This requires an Xquik API key and supports bulk processing with optional verified status filters.

Can I filter extracted X followers by verified status or minimum follower thresholds?

Yes, you can filter extracted X followers by verified status and apply minimum follower thresholds before exporting data. This focuses bulk extraction on relevant audiences and outputs the refined results to CSV or JSONL.

Do I need an API key to extract followers from public X accounts?

Yes, an API key for the Xquik service is required to extract followers from public X accounts. This key authenticates your extraction requests and enables the asynchronous workflow needed for processing large datasets.

What is the best way to handle large datasets when extracting Twitter follower profiles?

The best way to handle large datasets during Twitter follower extraction is using an asynchronous extraction workflow. This processes bulk pulls in the background and exports completed profile results to CSV or JSONL formats.

What output formats are supported for exporting extracted X follower data?

Extracted X follower data can be exported to either CSV or JSONL output formats. These formats support integration with downstream data pipelines and analytics platforms after the profile extraction is complete.