Facebook Group Posts And Details Scraper

Facebook Group Scraper — Extract Posts, Group Details and Author Data

Facebook Group Posts & Details Scraper extracts posts, group profile details, and poster information from any public Facebook group — without a Facebook login. Point it at one or more group URLs and it returns typed JSON: post text, author name and profile link, publish date, and the group's own name, privacy setting, member count, description, and cover photo, all on the same row. Unlike copy-pasting from the feed or parsing raw HTML, every field arrives ready for your database, spreadsheet, or LLM pipeline with no cleanup step. This guide covers every input and output field, plus how teams run it for monitoring, enrichment, and bulk research.

🧭 What Does Facebook Group Posts & Details Scraper Do?

Facebook Group Posts & Details Scraper is an Apify Actor that reads a public Facebook group's feed and its own group page, then returns one JSON row per post enriched with that group's profile details and the poster's identity. It does not require a Facebook account, login, or session cookie — every request is made anonymously against pages Facebook serves to logged-out visitors, so it only works for groups whose posts are visible without logging in.

It handles:

• 📝 Post content — full post text, permalink, and an attached image URL when the feed includes one
• 👤 Poster identity — display name, numeric profile ID, profile URL, and a first/last name split
• 📘 Group profile — name, vanity slug, privacy label, formatted member count, description, and cover photo, attached to every post from that group
• 🔄 Sort order control — recent posts, top posts, recent activity, or chronological, passed straight through to Facebook's own feed API
• 📅 Date filtering — return only posts published on or after a given date
• 👁️ Monitoring mode — persists seen post IDs between runs so repeat runs return only new posts
• 🌐 Multi-group runs — accepts many group URLs in one run, splits the post quota across them, and merges the results

⚡ Features & Capabilities

The Actor's capabilities fall into three areas: what it extracts, how it survives Facebook's feed pagination, and where it fits next to other tools.

Core features

• Returns a flat JSON row per post with exact keys id, postText, postUrl, image, postAuthor, postAuthorId, postAuthorUrl, firstName, lastName, timestamp, publishedAt, scrapedAt, plus the group fields groupUrl, groupName, groupVanity, groupPrivacy, groupMemberCountText, groupDescription, groupCreatedAt, groupCoverPhotoUrl
• Group profile fields are parsed from the same anonymous page fetch used to resolve the group's internal feed ID — no extra request is spent to attach them to every post row
• Rows are pushed to the dataset as soon as each post is parsed, not buffered until the run ends, so you can watch results land in real time in the Apify Console
• Retries transient HTTP failures (408/429/500/502/503/504) up to 3 times per request with increasing backoff, and retries a whole group's metadata fetch up to 3 times if Facebook doesn't return a usable group/API ID
• monitoringMode persists seen post IDs per group in the Actor's key-value store, so a scheduled run only returns posts it hasn't returned before

Structured JSON vs. scraping the group yourself

Manually exporting a Facebook group means scrolling the feed, copying text by hand, and re-typing dates and names — or writing your own scraper that has to solve group-ID resolution, GraphQL pagination, and feed-duplicate handling before it returns a single post. This Actor returns the same information as consistently-typed JSON with stable field names, which is the difference that matters when the output feeds a database, a BI tool, or an LLM context window: no HTML parsing, no regex, no re-running a script every time Facebook changes a CSS class.

When another tool might suit you better

This Actor works entirely without a Facebook login, which is also its boundary: it cannot reach comment threads, reaction counts, member lists, or group admin/moderator lists, since those require an authenticated session this Actor does not open. If your workflow needs comment-level sentiment, reaction counts, or the group's member directory, you need a tool that logs in and holds a session — this one intentionally does not, to stay anonymous and avoid account risk.

Facebook Group Posts & Details Scraper in the Scrapio Facebook toolkit

This Actor covers group posts and group profile details. For Facebook events — organizer and contact details rather than group feed content — use Facebook Events Scraper — Organizer & Contact Details, the companion Scrapio Actor for the Facebook events entity.

Why do developers and data teams scrape Facebook groups?

Different teams pull group data for different reasons. The audiences below are the ones that genuinely apply to a group-feed scraper.

🏢 Community managers and marketers

Teams running or partnering with niche communities pull postText, postAuthor, and publishedAt to see what members are actually discussing, then cross-reference against groupMemberCountText and groupDescription to size and qualify a group before investing in it. Monitoring mode turns this into a standing feed: schedule a daily run, and only the posts published since the last run show up, so a content or community team can react to new discussion without re-reading the whole feed.

📊 AI training data and RAG indexing

postText is the high-information field here — real, unedited community language, useful for RAG enrichment (grounding an assistant in what a specific community actually says) and for training data (a source of naturally occurring, informally written text). groupDescription and groupName add context that helps a retrieval system disambiguate which community a passage came from. All fields return as typed strings, so no HTML stripping or de-duplication logic is needed before indexing.

📱 Competitive and market intelligence

Tracking a competitor's or partner's own group over time on postText and postAuthor volume shows whether their community is actively engaged or dormant, and groupMemberCountText gives a rough size signal at each run (it is a rounded, formatted string, not an exact count). Running the same group on a schedule with monitoringMode turns this into an ongoing feed of new posts rather than a repeated full re-scrape.

🔬 Research and academic use

Social and market researchers use group feeds as a public-data source for studying community discourse, misinformation spread, or topic trends inside a defined group. This Actor only returns what a logged-out visitor can already see on the group's page — no private or members-only content is accessed.

🎥 Product and SaaS development

Teams building monitoring dashboards, lead-research tools, or community-analytics products use this Actor as the extraction layer, scheduling runs per tracked group and writing the JSON rows straight into their own data model.

🍚 Input Parameters

All six parameters below are read directly from .actor/actor.json; names, types, and defaults are exactly as implemented.

Parameter	Required	Type	Description	Example Value
startUrls	Yes	array	One or more Facebook group URLs or bare group identifiers. Accepts multiple groups in one run.	["https://www.facebook.com/groups/germtheory.vs.terraintheory"]
monitoringMode	No	boolean (default false)	When enabled, the Actor remembers post IDs it has already seen (via the Apify key-value store) and returns only new posts on later runs.	true
maxPosts	No	integer (default 10, minimum 10)	Global cap on posts across the whole run. With multiple startUrls the cap is split across groups, then the merged result is capped at this value.	50
sortOrder	No	string enum (default "RECENT_ACTIVITY")	Sorting strategy for the group feed. One of RECENT_POSTS, TOP_POSTS, RECENT_ACTIVITY, CHRONOLOGICAL.	"CHRONOLOGICAL"
startDate	No	string, pattern YYYY-MM-DD	Only return posts published on or after this date. Left empty, all available posts are returned regardless of date.	"2025-02-20"
proxyConfiguration	No	object (proxy editor)	Your Apify Proxy selection, used for every request the Actor makes. Residential proxy is prefilled and recommended for reliability.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

maxPosts has a hard floor of 10 — the schema sets minimum: 10, and the Actor's own code re-checks this at run time and raises any lower value back up to 10, logging a warning when it does.

Example input

{
  "startUrls": [
    "https://www.facebook.com/groups/cheapmealideas/",
    "germtheory.vs.terraintheory"
  ],
  "maxPosts": 50,
  "sortOrder": "RECENT_ACTIVITY",
  "startDate": "2025-06-01",
  "monitoringMode": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Supported URL types and input formats

startUrls accepts each item either as a plain string or as {"url": "..."} — both forms parse the same way. Within either form, three reference styles work:

• Full group URL — https://www.facebook.com/groups/cheapmealideas/
• Bare group identifier (vanity slug or numeric ID) — germtheory.vs.terraintheory, which the Actor expands to https://www.facebook.com/groups/germtheory.vs.terraintheory
• Mobile or bare-domain URLs — m.facebook.com and facebook.com hosts are normalized to www.facebook.com internally, so any of the three resolve to the same canonical group and duplicates across startUrls are automatically merged into one entry

📦 Output Format

Every run produces one dataset with one flat JSON row per post — there is no separate "group" or "author" record; the group's profile fields and the poster's identity fields are embedded directly on each post row. Results export from the Apify Console or API as JSON, CSV, Excel, XML, or RSS — the standard Apify dataset export formats.

Output for posts

{
  "id": "28290742220558244",
  "image": "https://scontent.fdac21-1.fna.fbcdn.net/v/t39.30808-6/example_photo.jpg",
  "postText": "Made a big batch of lentil soup for under $10, recipe in comments!",
  "postAuthor": "Jane Doe",
  "postAuthorId": "100048765312428",
  "postAuthorUrl": "https://www.facebook.com/profile.php?id=100048765312428",
  "firstName": "Jane",
  "lastName": "Doe",
  "timestamp": "1748764800",
  "publishedAt": "2025-06-01T12:00:00Z",
  "scrapedAt": "2026-08-04T09:15:32Z",
  "postUrl": "https://www.facebook.com/groups/cheapmealideas/posts/28290742220558244/",
  "groupUrl": "https://www.facebook.com/groups/cheapmealideas",
  "groupName": "Cheap Meal Ideas",
  "groupVanity": "cheapmealideas",
  "groupPrivacy": "Public",
  "groupMemberCountText": "6.0M members",
  "groupDescription": "A place to share budget-friendly recipes and meal-planning tips.",
  "groupCreatedAt": null,
  "groupCoverPhotoUrl": "https://scontent.fdac21-1.fna.fbcdn.net/v/t39.30808-6/example_cover.jpg"
}

Group and poster details returned with every post

The group* fields above are the group's own profile, re-attached to every post from that group at no extra request cost:

• groupName, groupVanity — the group's display name and vanity/slug identifier
• groupPrivacy — the literal privacy label Facebook shows on the group page (e.g. "Public")
• groupMemberCountText — a rounded, formatted string ("6.0M members"); Facebook does not expose an exact member count to anonymous visitors, so this field is never a bare integer
• groupDescription — the group's About-section text
• groupCoverPhotoUrl — the group's cover photo image URL
• groupCreatedAt — always null. ⚠️ Facebook does not expose a group's founding date anywhere on the anonymous, logged-out page — only individual posts and comments in the feed carry timestamps. The Actor deliberately ships null here rather than substituting an unrelated post's date as a fabricated group creation date.

The poster's identity is the postAuthor, postAuthorId, postAuthorUrl, firstName, and lastName fields. postAuthorUrl prefers a stable profile.php?id=... link built from the numeric postAuthorId when one is available, falling back to a vanity-name URL only when the short name has no spaces in it.

Schema stability and export options

Field names stay stable across runs regardless of how Facebook's own front end changes, because they are the Actor's own normalized keys, not raw Facebook API field names. If a field cannot be resolved for a given post or group (for example groupCreatedAt), it is shipped as null rather than omitted, so downstream consumers can rely on every row having the same key set. Datasets export as JSON, CSV, Excel (XLSX), XML, or RSS directly from the Apify Console, API, or CLI. Each row pushed to the dataset is billed under the row_result charged event; posts that fail to save due to a temporary error are logged but not pushed, so they are not charged.

💡 Facebook Group Posts & Details Scraper Strategy Guide

🎯 Strategy 1: Real-time enrichment pipeline

Trigger a run whenever a new group enters your tracking list (via the Apify API or a webhook-fed queue), passing that group's URL as startUrls with a modest maxPosts. As each row lands in the dataset — postText, postAuthor, groupName, groupMemberCountText — pull it via the API and append it to the record in your CRM or lead database. Because rows are pushed as they're parsed, you can start enrichment before the run finishes rather than waiting for a full batch.

🎯 Strategy 2: Scheduled monitoring and alerting

Set up an Apify Schedule to re-run the same startUrls daily or weekly with monitoringMode: true. Each run only returns posts whose id wasn't seen in a prior run for that group, since the Actor persists seen IDs in its key-value store. Alert on the delta that matters to you — a spike in post volume, a keyword appearing in postText, or a groupMemberCountText jump between runs.

🎯 Strategy 3: Bulk dataset build

For a one-off research or training corpus, pass a longer list of group URLs in startUrls with a higher maxPosts; the Actor fetches all groups concurrently within the run and merges results, capped at your maxPosts total. Aggregate the resulting dataset to CSV or load it straight into a database via the Apify API. No specific concurrency ceiling is published for this Actor beyond the pagination behavior described in the Output section, so size your maxPosts and group list based on how long you're willing to let a single run take.

Strategy comparison at a glance

Strategy	Best for	Run pattern	Output format
Real-time enrichment	Appending group/post context to inbound records	Triggered, per-group run	JSON via API, pushed row-by-row
Scheduled monitoring	Tracking new posts in an active group over time	Apify Schedule + monitoringMode: true	JSON dataset, delta per run
Bulk dataset build	Research or training corpora across many groups	One run, many startUrls	CSV/JSON export of the full dataset

🌴 Related Facebook Scrapers & Tools

Scraper	What it extracts
Facebook Events Scraper — Organizer & Contact Details	Facebook event details, organizer and contact information (same Scrapio account, Facebook platform)
LinkedIn Profile Posts Scraper With Engagement Analytics	Posts published from a LinkedIn profile, with engagement data
Threads Search Post Scraper With Engagement Analytics	Posts matching a search term on Threads
Reddit Subreddit Members Scraper With User Profiles	Member profiles from a Reddit community — complements group-level audience research
Twitter (X.com) Tweets & Profiles Scraper	Tweets and profile data from X/Twitter — complements cross-platform social monitoring

How to integrate Facebook Group Posts & Details Scraper with your stack

Facebook Group Posts & Details Scraper works with any language or tool that can make an HTTP request, through the Apify API or the official Apify client SDKs.

Python

from apify_client import ApifyClient
import csv

client = ApifyClient("<YOUR_APIFY_TOKEN>")

run_input = {
    "startUrls": [
        "https://www.facebook.com/groups/cheapmealideas/",
        "germtheory.vs.terraintheory",
    ],
    "maxPosts": 50,
    "sortOrder": "RECENT_ACTIVITY",
    "monitoringMode": False,
}

# Replace with this Actor's full name on your account, e.g. "your-username/facebook-group-posts-and-details-scraper"
run = client.actor("facebook-group-posts-and-details-scraper").call(run_input=run_input)

rows = list(client.dataset(run["defaultDatasetId"]).iterate_items())

with open("facebook_group_posts.csv", "w", newline="", encoding="utf-8") as f:
    writer = csv.DictWriter(f, fieldnames=rows[0].keys())
    writer.writeheader()
    writer.writerows(rows)

print(f"Saved {len(rows)} posts to facebook_group_posts.csv")

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });

const input = {
  startUrls: ['https://www.facebook.com/groups/cheapmealideas/'],
  maxPosts: 50,
  sortOrder: 'RECENT_ACTIVITY',
  monitoringMode: false,
};

// Replace with this Actor's full name on your account
const run = await client.actor('facebook-group-posts-and-details-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

items.forEach((post) =>
  console.log(post.groupName, '-', post.postAuthor, '-', (post.postText || '').slice(0, 60))
);

Async and scheduled pipelines

For large or recurring jobs, don't wait on the run synchronously — call client.actor(...).call() without blocking, or start the run and poll client.run(runId).get() for its status, then read the dataset once it finishes. For repeat visits to the same groups, use an Apify Schedule with monitoringMode: true so each scheduled run returns only new posts instead of the full feed again.

🎯 Who Needs Facebook Group Posts & Details Scraper? (Use Cases & Industries)

🏢 Community managers and marketers

A team evaluating a niche group before running paid outreach pulls groupMemberCountText, groupDescription, and a sample of recent postText to judge activity level and topical fit, without joining the group.

📊 AI/ML and RAG teams

Teams building a retrieval index for a support or community-assistant product pull postText and groupDescription as grounding documents, tagging each chunk with groupName so the retriever can filter by community.

📱 Market intelligence teams

Analysts tracking a partner's or competitor's public community schedule a monitoringMode run and watch for spikes in new postText volume or changes in groupMemberCountText between runs.

🔬 Researchers

Academic and market researchers use group feeds as a public-data source for studying discourse in a defined community, relying only on what a logged-out visitor can already see.

🎥 SaaS and product builders

Teams building monitoring dashboards or lead-research tools use this Actor as the extraction layer behind their own product, running it per tracked group and writing the JSON rows into their own data model.

Is it legal to scrape Facebook groups?

Scraping publicly accessible web data is generally not a computer-crime violation in the United States: in hiQ Labs, Inc. v. LinkedIn Corp. (9th Cir. 2019), the court held that accessing data a website makes available to logged-out visitors does not violate the Computer Fraud and Abuse Act. That precedent concerns unauthorized-access law, not Facebook's own Terms of Service — automated collection is very likely a breach of Meta's Terms of Service, which is a civil contract matter between the scraper and Meta, not a criminal one, and carries its own account-level and civil risk.

This Actor returns personal data whenever a post includes an identifiable poster — postAuthor, postAuthorId, postAuthorUrl, firstName, lastName — so data protection law (GDPR in the EU/UK, CCPA/CPRA in California, and equivalents elsewhere) attaches to anything you do with that data beyond viewing it. Facebook Group Posts & Details Scraper returns only publicly accessible data. What you do with that data is your responsibility — consult legal counsel for commercial applications involving personal data.

❓ Frequently asked questions

Does Facebook Group Posts & Details Scraper work without a Facebook account?

Yes. The Actor never logs in — it fetches the group's public page and its GraphQL feed anonymously, the same way a logged-out visitor's browser would. This also means it can only return posts and details that Facebook actually shows to logged-out visitors; a group that requires membership or login to view its feed will not yield post data.

How does Facebook Group Posts & Details Scraper handle Facebook's anti-scraping measures?

It retries transient failures (HTTP 408/429/500/502/503/504) up to 3 times per request with increasing backoff, retries a group's metadata resolution up to 3 times if Facebook doesn't return a usable group or API ID, and stops paging a group early after 8 consecutive pages return no new unique posts. A residential Apify Proxy is prefilled by default and used for every request; if you explicitly disable the proxy in proxyConfiguration, the Actor proceeds without one and logs a warning that reliability may be lower.

Can I run Facebook Group Posts & Details Scraper at scale without getting blocked?

Multiple groups in one run are fetched concurrently rather than one at a time, and the post quota is split across them. No uptime, block-rate, or success-rate figure is published for this Actor — reliability depends on Facebook's own response to automated traffic and your proxy configuration, which is why a residential proxy is the default.

How fresh is the data Facebook Group Posts & Details Scraper returns?

It's a live fetch every run — there is no caching layer. scrapedAt records when the Actor fetched the row; publishedAt and timestamp record when Facebook says the post itself was published, which will usually be earlier than scrapedAt.

Which Facebook group fields work best for AI training and RAG indexing?

postText is the highest-information field for both — it's real, unedited community language. Pair it with groupName and groupDescription for context so a retrieval system can attribute a passage to the right community. All fields return as typed strings or null, so no HTML stripping or normalization is required before indexing.

Does scraping a Facebook group violate Meta's Terms of Service?

Very likely yes for automated, non-API access — Meta's Terms of Service restrict automated data collection, and violating them is a civil contract risk between you and Meta (account suspension, potential civil claims), separate from the public-data legal question addressed above. This Actor does not change that risk calculus; it only affects how the data is technically collected.

Does this Actor comply with GDPR when it returns names and profile links?

The Actor returns only names and profile links that the group's page already shows to any logged-out visitor — it does not access private profile data. Once you store or process that data, GDPR's (or CCPA's) obligations around lawful basis, retention, and data-subject rights sit with you as the data controller, not with the Actor.

Does Facebook Group Posts & Details Scraper work with Claude, ChatGPT, and other AI agent tools?

Yes, as an HTTP endpoint callable by any agent framework through the Apify API — there is no dedicated MCP server for this Actor. Every response is typed JSON, so an agent can consume postText, groupName, and the other fields directly without a parsing step.

How does Facebook Group Posts & Details Scraper compare to other Facebook scrapers?

No independent, dated comparison of specific competing Facebook scrapers is available here, so this answers what to check instead: whether a tool requires a logged-in Facebook session (this one doesn't, which limits it to logged-out-visible content but avoids account risk), whether it returns the group's own profile fields alongside posts in the same row (this one does, at no extra request cost), and whether it supports incremental "new posts only" runs out of the box (this one does, via monitoringMode).

ℹ️ Disclaimer

Facebook Group Posts & Details Scraper extracts only publicly available data from Facebook. This tool is intended for lawful use cases only. Users are responsible for complying with Facebook's terms of service and applicable data protection laws in their jurisdiction.