Twitter Followers Scraper — Twitter (X) | Lagic

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Overview

This tool extracts comprehensive data for followers of a specified Twitter (X) username, including their display name, handle, follower and following counts, bio, and verification status. It's ideal for audience analysis and targeted lead generation.

### Understand Your Audience and Competitors This Twitter Followers Scraper provides structured data about the individuals following any public Twitter (X) profile. By simply providing a username and a maximum number of results, you gain access to a rich dataset for each follower. This includes their display name, unique username (handle), a unique user ID, their profile image URL, and the date their account was created. You'll also see their stated location and a short biography, if available. Beyond basic profile information, the tool reveals crucial engagement metrics: each follower's own follower count, the number of accounts they are following, their total media uploads, and the total number of posts (statuses) they've made. For authenticity, it notes their verification status, distinguishing between standard 'verified' accounts and those with 'blue check' subscriptions. ### Why This Data Matters For marketers, this data is gold. You can analyze the audience of competitors or industry leaders to understand their demographics, interests, and activity levels. For lead generation, identifying active, relevant followers of a target account allows for highly personalized outreach. Researchers can study network structures and user behavior, while brand managers can monitor the profiles engaging with influencers. The `affiliates` field, though often empty, indicates if any affiliate information is present, and `business_account` specifies if the profile is recognized as a business, offering further segmentation possibilities when available. The `website` field captures any external link a follower has included in their profile. This tool focuses on delivering actionable insights by turning raw follower lists into organized, analyzable data.