Instagram

Instagram Followers Scraper

Scrape followers of an Instagram user by username or profile URL.

Run on Apify247 userson Apify, measured 2026-08-24

What it extracts

Data not currently verified. The output schema for this Actor is not published in our source repository. See the Apify listing for the authoritative version.

Input parameters

Generated from the Actor’s input schema — the same fields the Apify console shows.

Parameter	Type	Required	Description
`username`	string	Required	Instagram username (e.g. 'cristiano') or profile URL (e.g. 'https://www.instagram.com/cristiano/')
`max_results`	integer	Optional	Maximum number of followers to fetch (default: 100)
`cookies`	array	Required	Instagram authentication cookies in JSON format (name-value pairs). To export cookies: 1. Install the Cookie Editor extension from [here](https://microsoftedge.microsoft.com/addons/detail/cookieeditor/neaplmfkghagebokkhpjpoebhdledlfi) 2. Open Instagram 3. Export cookies as JSON 4. Paste the JSON in this field. For more, watch [this video](https://youtu.be/LK7EnP6YFPA). Required for accessing followers.
`extract_contacts`	boolean	Optional	If true, extract emails, phone numbers, and social links from each follower's bio (slower, more data). If false, only fetch the follower list (faster).

API access

Run this Actor from your own code over the Apify API.

Inputjson

{
  "username": "bigfootvlog",
  "cookies": []
}

REST — run and get resultsbash

curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~instagram-followers-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"username":"bigfootvlog","cookies":[]}'

JavaScript — apify-clientjavascript

import { ApifyClient } from 'apify-client'

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' })

const run = await client.actor('logical_scrapers~instagram-followers-scraper').call({
  "username": "bigfootvlog",
  "cookies": []
})

const { items } = await client.dataset(run.defaultDatasetId).listItems()
console.log(items)

Python — apify-clientpython

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("logical_scrapers~instagram-followers-scraper").call(run_input={
    "username": "bigfootvlog",
    "cookies": [],
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Runs are executed on Apify. Create an API token in your Apify account, then call the Actor over REST or with the official client for your language. The same input object works in the Apify console, so you can test interactively before automating.

Pricing

Data not currently verified. This Actor's pricing model is not declared in our source repository.

Current rates are published on the Apify listing and can change, so they are not duplicated here. See pricing on Apify

Reliability

99.4% run success rate

Measured across all public Goldmine Actors on Apify, 2026-08-24. This is an account-level figure, not a per-Actor benchmark — per-Actor speed and completeness benchmarks are not yet published. Source.