How to Scrape Twitter People Search Results to CSV

Prerequisites before you scrape Twitter people search

You need UScraper installed as a local desktop app, a short list of profile URLs, a browser session that can open the target profiles, and a folder where CSV files can be written. Start with a focused search intent such as "AI founders" or "retail analysts" instead of a broad word that returns unrelated accounts.

The companion Twitter People Search Scraper is the download path. This post explains why the workflow uses a profile URL list, how the export columns map to the template JSON, and how to validate the CSV when X search or profile pages behave differently across accounts.

A visible profile page is a starting point for QA, not a blanket permission model. Keep batches narrow, document why you collected the data, and stop if the site asks for manual verification.

Turn a Twitter People search into profile URLs

Competitor templates often frame this as a people-search results scraper: enter a keyword, choose the People tab, and export user name, handle, bio, profile URL, avatar URL, and user type. In practice, X can redirect search pages for unauthenticated or challenged sessions, so the UScraper workflow starts from known profile URLs and keeps the original search query attached to every row.

That means you can still start from Twitter/X People search. Search manually, collect the profile URLs that fit the research brief, then paste those URLs into the Navigate block. The template's sample JSON uses an AI query context and a curated list of profile URLs, but you should replace both with your own approved query and profile list.

How the Twitter people search scraper works

The export JSON is the authoritative workflow definition. The summary below shows the operating shape without making you inspect every selector.

{
  "project": {
    "name": "Twitter People Search Scraper",
    "description": "Best-effort UScraper equivalent of a Twitter/X People search scraper."
  },
  "blocks": [
    {
      "title": "Navigate",
      "config": {
        "urls": [
          "https://x.com/OpenAI",
          "https://x.com/AIatMeta"
        ]
      }
    },
    { "title": "Wait for Page Load", "config": { "timeout": 30 } },
    {
      "title": "Wait for Element",
      "config": { "selector": "div[data-testid=\"primaryColumn\"]", "timeout": 30 }
    },
    {
      "title": "Structured Export",
      "config": {
        "fileName": "twitter-people-search-scraper.csv",
        "includeHeaders": true,
        "fileMode": "append"
      }
    },
    { "title": "Loop Continue" }
  ]
}

Step-by-step: scrape Twitter user profiles to CSV

CSV fields exported by the Twitter profile scraper

There is no separate CSV sample in the bundle, so treat the JSON workflow as the field contract. The template writes one row per accessible profile page with eight columns.

Validate the export before using it

Open the CSV after the first run and check five things: the profile URL opens, the handle matches the URL, the display name matches the page, the bio is not mixed with navigation text, and the verification label makes sense. If a row looks wrong, fix the workflow before adding more URLs.

For research and outreach workflows, keep a run note with the search query, input URL list, date, export folder, and any profiles removed during review.

Twitter scraper alternatives and trade-offs

If you are comparing Twitter scraper alternatives, judge them by the input they accept, where data runs, how export works, and how much selector maintenance you own. Hosted tools can help with scheduling and chained automations. The official X API fits sanctioned production access. UScraper fits a supervised profile URL list that needs an editable desktop workflow and local CSV output.

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