Threads User Followers Scraper

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Apify Actor that collects Threads follower records for one or more profiles, using the same GraphQL + HTML token strategy as a local Python workflow (extract_followers + profile HTML + JS bundle doc_id extraction).

Features

• Bulk input: multiple profile URLs or @usernames
• Session-based: requires a valid sessionid cookie (paste as sessionId input; from threads.com / Instagram when logged in)
• Proxy ladder: starts with no proxy; on failure uses Apify datacenter, then residential (up to 3 attempts); after residential succeeds, stays on residential for the rest of the run
• Live dataset output: each follower row is pushed as it is discovered
• Same output shape as the normalized JSON from node_to_record (source, target_username, user_id, pk, username, full_name, flags, profile_url, etc.)

Input

Pacing and GraphQL batching match the original script internally (~0.35s between rounds, first=50, stop after 10 consecutive rounds with no new unique followers).

Example:

{
"urls":["https://www.threads.com/@zuck"],
"sessionId":"YOUR_SESSIONID",
"maxFollowers":200
}

Output

Each dataset item matches the scraper record shape, for example:

{
"source":"threads",
"target_username":"zuck",
"user_id":"73956966771",
"pk":"73956966771",
"username":"baselad21",
"full_name":"Bassel Kaddour",
"is_verified":false,
"is_private":false,
"profile_pic_url":"https://...",
"follower_count":1,
"following":false,
"followed_by":false,
"outgoing_request":false,
"has_onboarded_to_text_post_app":true,
"__typename":"XDTUserDict",
"profile_url":"https://www.threads.net/@baselad21"
}

Local run

cd Threads-User-Followers-Scraper
pip install-r requirements.txt

• Set APIFY_TOKEN in the environment so Apify Proxy fallbacks can obtain a proxy password when direct access fails.
• Run apify run with the Apify CLI, or python -m src with optional project-root INPUT.json (only if Actor.get_input() is empty — e.g. local testing).

Legal

Only scrape data you are allowed to access. You are responsible for complying with Threads/Meta terms and applicable laws.