Facebook

Facebook Page Details Scraper

Extract details of public Facebook pages without logging in: followers, category, website, email, phone, address, opening status, price range, rating and profile images, one item per page.

Run on Apify

What it extracts

Every field below comes from the Actor’s published dataset schema.

Field	Description	Type
`name`	Page	text
`category`	Category	text
`followers`	Followers	number
`website`	Website	link
`email`	Email	text
`phone`	Phone	text
`address`	Address	text
`rating_recommend_percent`	Recommend %	number
`review_count`	Reviews	number
`is_verified`	Verified	boolean
`url`	Page URL	link

Input parameters

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

Parameter	Type	Required	Description
`startUrls`	array	Required	Facebook pages or public profiles to scrape. Paste a page URL such as https://www.facebook.com/nike, a username such as nike, or a profile.php?id=… link. One dataset item is produced per page, and you can pass as many pages as you like.
`proxyConfiguration`	object	Optional	Proxy configuration. Defaults to Apify datacenter proxies, which are enough for page details. Switch to residential proxies if runs report blocked IP addresses.

API access

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

Inputjson

{
  "startUrls": [
    "https://www.facebook.com/nike",
    "KatzsDeli",
    "nasa"
  ]
}

REST — run and get resultsbash

curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~facebook-page-details-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":["https://www.facebook.com/nike","KatzsDeli","nasa"]}'

JavaScript — apify-clientjavascript

import { ApifyClient } from 'apify-client'

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

const run = await client.actor('logical_scrapers~facebook-page-details-scraper').call({
  "startUrls": [
    "https://www.facebook.com/nike",
    "KatzsDeli",
    "nasa"
  ]
})

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~facebook-page-details-scraper").call(run_input={
    "startUrls": [
        "https://www.facebook.com/nike",
        "KatzsDeli",
        "nasa",
    ],
})

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.