Scrape Twitter Followers and Following Lists for Research Workflows

Why Twitter follower data is difficult to use manually

Follower lists are useful because they carry relationship context. Who follows a founder? Which analysts follow a public company? What accounts does a competitor follow before a launch? Which creators appear across several niche accounts? These are practical questions, but the X/Twitter interface is built for browsing one row at a time.

Manual review breaks down quickly. Names and handles blur together, bios disappear after a scroll, and the same account may appear across several profiles. If a researcher later needs to explain how a shortlist was built, screenshots are weak evidence. A CSV keeps the owner profile, source list type, followed account, URL, bio, avatar URL, verification flag, and visible counts together.

The goal is not to collect all of X. The goal is to preserve the visible profile relationships that answer a defined question, with enough source context to audit the sample later.

The official route for production data starts with X documentation for follows endpoints, user lookup, and rate limits. A local desktop scraper fits a different job: a supervised spreadsheet export from pages your browser can already open.

Twitter follower scraper use cases by team

X API followers vs scraper vs monitoring tools

The "best Twitter follower scraper" depends on the operating model. A newsroom doing one background export has different requirements than a developer building a recurring data product.

Concrete workflows for research, newsrooms, SEO, and monitoring

Research network sampling

A research team can collect visible following lists from a small set of public accounts, then classify each row by organization type, location, role, or topic. The important part is documentation: target profile, list type, collection date, account state, CSV filename, and any missing or diagnostic rows.

Newsroom backgrounding

Newsrooms can use a Twitter following list scraper during early background work. For example, a reporter can export who a public figure follows, filter for government agencies, companies, journalists, or advocacy groups, and then open source URLs manually. The CSV is a lead sheet, not a source by itself.

SEO and audience intelligence

SEO teams often need the people behind a topic, not just search volume. Exporting visible followers from category publications, conference speakers, founder accounts, or competitor profiles can surface recurring phrases in bios, adjacent communities, and accounts worth reading before writing briefs.

Competitor and creator monitoring

For monitoring, keep the workflow small and repeatable. Export the same approved accounts monthly, compare new handles, and review only meaningful changes. This works better than chasing a massive scrape because relationship lists may be limited by what X exposes to the current session.

How the UScraper template delivers structured export

The Twitter Follower and Following Scraper template opens configured X list URLs such as /verified_followers and /following, waits for the page, scrolls visible batches, captures user cells into a temporary DOM table, and appends both list types into one CSV.

If X redirects to login, an interstitial, or a page where user cells are not visible, the template writes a diagnostic fallback row instead of silently producing an empty file. That matters for research operations because "no rows" and "blocked by login" are different findings.

{
  "project": {
    "name": "Twitter Follower  Following Scraper",
    "description": "Best-effort X/Twitter follower and following scraper."
  },
  "blocks": [
    {
      "title": "Navigate",
      "config": {
        "urls": [
          "https://x.com/elonmusk/verified_followers",
          "https://x.com/elonmusk/following"
        ]
      }
    },
    {
      "title": "Structured Export",
      "config": {
        "rowSelector": "#uscraper-x-follow-results .scraped-follow-row",
        "fileName": "twitter-follower-list-scraper.csv",
        "includeHeaders": true,
        "fileMode": "append"
      }
    }
  ]
}

Build a responsible follower export workflow

For adjacent social workflows, browse the full template library or the UScraper blog for tutorials and comparison posts. The follower export is usually one part of a larger research loop that may also include profile review, search exports, post analysis, or manual verification.

Frequently asked questions