Instagram

Instagram Likers Profile Scraper

Extract users who liked an Instagram post along with their profile data

Run on Apify29 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
`urls`	array	Required	List of Instagram post URLs to scrape likers from
`maxLikers`	integer	Optional	Maximum number of likers to fetch per post
`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 post likers.
`proxy`	object	Optional	Select proxies to be used by the scraper to avoid being blocked by Instagram.

API access

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

Inputjson

{
  "urls": [
    "https://www.instagram.com/p/DJSMN7wOa4_"
  ],
  "cookies": []
}

REST — run and get resultsbash

curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~instagram-likers-profile-with-email-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls":["https://www.instagram.com/p/DJSMN7wOa4_"],"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-likers-profile-with-email-scraper').call({
  "urls": [
    "https://www.instagram.com/p/DJSMN7wOa4_"
  ],
  "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-likers-profile-with-email-scraper").call(run_input={
    "urls": [
        "https://www.instagram.com/p/DJSMN7wOa4_",
    ],
    "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.