Member Avatar for Reika_1

I am not a developer, but a researcher. Are there any list of top 5000 ranks filter by higher volume of followers? or any related websites it listed twitter ranks by categories and the volume of followers? I want to know how many musicians who has 30,000-50,000 followers on twitter. Wondering if I can extract certain number of users based on categories "Musicians" and the specific volume of folloewrs . Please help me out and Thanks!

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  • Latest Post Latest Post by rubberman

Dani AI

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As is asking, this is doable but not one-click: Twitter does not provide a consistent, mandatory "occupation" or "category" field for every account, so you must infer "Musician" from profile text, public lists, or external directories. is right to focus on that constraint — the task is mostly about reliable classification plus filtering by follower_count.

A compact, practical pipeline:

  1. Build seed signals: keywords that appear in bios (musician, singer, band, composer, DJ), curated lists (artists on label pages, Wikipedia rosters), and any public Twitter Lists labeled for musicians.
  2. Query profiles (use the official API or a trusted analytics provider), collect follower_count for each user, and keep those in 30,000–50,000.
  3. Deduplicate, then validate a random sample to estimate precision/recall before scaling.

Example (generic pseudocode):

keywords = ["musician","singer","band","composer","DJ"]
matches = set()
for kw in keywords:
    for user in search_users(query=kw, pages=...):
        if 30000 <= user.follower_count <= 50000:
            matches.add(user.id)
# manually label a random sample of ~100 to check precision

Pitfalls and ways to improve: short bios, multi-role accounts, fake or inactive follower bases, and protected accounts will cause noise. Train a simple NLP classifier on labeled bios to raise precision, expand coverage by following follower/following networks of known musicians, and re-run iterative sampling to refine keywords.

Operational notes: prefer the official API (respect rate limits and terms), use backoff and caching, and start with a small pilot (1–2k users) to tune filters. For formal research, consider applying for academic/enterprise access or licensed datasets to avoid scraping and to get larger, reliable samples.

Member Avatar for rubberman

What have you done to find such information from Twitter? If you can get the basic information on how many followers every user of a specific category there are then the rest is simple statistics. The question is whether Twitter groups users, or tags users, by professional and/or other category.

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