Facebook

Facebook Page Posts Scraper

Extract posts from public Facebook pages and profiles without logging in: text, publish time, reactions, comment and share counts, photos and videos, plus the page's followers, category and website on every post.

Run on Apify

What it extracts

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

Field	Description	Type
`facebook_page_name`	Page	text
`message`	Post Message	text
`creation_time`	Posted Date	date
`post_url`	Post URL	link
`reactions`	Reactions	object
`comments_count`	Comments	number
`shares_count`	Shares	number
`attachments`	Attachments	array
`facebook_page_followers`	Page Followers	number
`facebook_page_category`	Page Category	text
`facebook_page_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 entry per page, and as many pages as you like.
`maxItems`	integer	Optional	Maximum number of posts to scrape from each page (start URL).
`untilDate`	string	Optional	Stop scraping a page when its posts get older than this date (format: YYYY-MM-DD). Leave empty to scrape until maxItems is reached.
`proxyConfiguration`	object	Optional	Proxy configuration. Defaults to Apify residential proxies, which Facebook requires for posts; datacenter IP addresses are refused.

API access

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

Inputjson

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

REST — run and get resultsbash

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

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-posts-scraper').call({
  "startUrls": [
    "https://www.facebook.com/nike",
    "humansofnewyork"
  ]
})

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-posts-scraper").call(run_input={
    "startUrls": [
        "https://www.facebook.com/nike",
        "humansofnewyork",
    ],
})

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.