Facebook Groups Scraper With Engagement Analytics

Facebook Groups Scraper — Extract Posts, Reactions & Analytics as JSON

Facebook Groups Scraper With Engagement Analytics extracts public Facebook group posts and turns them into ready-to-use engagement data: a full 7-type reaction breakdown, engagement rate, virality score, reaction sentiment, and per-run rank and percentile — plus one summary row per group with averages, the top post, posting cadence and top contributors. Every response returns typed, normalized JSON — no HTML, no selectors, no parsing. Point it at one or more public group URLs and get post-level and group-level analytics ready for a spreadsheet, a dashboard, or an LLM pipeline.

What is Facebook Groups Scraper With Engagement Analytics?

Facebook Groups Scraper With Engagement Analytics is an Apify Actor that reads public Facebook group feeds and returns two structured row types in one dataset: individual posts enriched with engagement analytics, and one summary row per group. No Facebook account is required to analyze public groups — the Actor reads them logged out through Apify's residential proxy network, and only needs a session cookie if you want to reach a private group you already belong to. It's callable as an HTTP API and, through Apify's Actors MCP Server, as a tool for AI agents.

• Scrape public Facebook group posts by URL, logged out, via residential proxy
• Get the full 7-type reaction breakdown (like, love, care, haha, wow, sad, angry) on every post
• Compute engagement rate, virality score, reaction sentiment and rank/percentile locally — no AI, no external calls
• Get one per-group summary row: averages, top post, posting cadence, top contributors
• Export to JSON, CSV or Excel from the Apify dataset

What data does Facebook Groups Scraper With Engagement Analytics collect?

Every run returns post-level content and reactions, computed engagement metrics, and a per-group summary — all in the same dataset, distinguished by the type field.

Data Type	Key Fields	JSON Field Names
Post content & author	text, author name/id, profile link, attached media	text, user, authorProfileUrl, attachments
Reaction breakdown	all 7 reaction types plus total	reactionLikeCount, reactionLoveCount, reactionCareCount, reactionHahaCount, reactionWowCount, reactionSadCount, reactionAngryCount, topReactionsCount
Computed engagement analytics	rate, rank, percentile, virality, sentiment	engagementRate, engagementRank, engagementPercentile, viralityScore, reactionSentimentRatio
Per-group summary	averages, top post, posting cadence, top contributors	avgReactions, avgEngagementRate, topPostUrl, postsPerDay, topContributors

Need more Facebook data?

If you don't already have your group list, Facebook Groups Search Scraper With Member Filters discovers public groups by keyword and filters them by member count and posting activity before you feed the URLs into this Actor. To go deeper on the people behind the engagement, Facebook Comments Scraper With Author Lead Enrichment turns commenters into enriched leads with bios, follower counts and contact details pulled from their comment text.

How does Facebook Groups Scraper With Engagement Analytics differ from the official Facebook API?

Meta's Graph API gives programmatic access to Facebook data, but its Groups endpoints are the most restricted part of the platform: reading a group's feed generally requires the requesting app to pass Meta's App Review process, and access is typically limited to groups the app or an admin account already manages. Facebook Groups Scraper With Engagement Analytics reads public group feeds directly and computes engagement analytics the Graph API doesn't provide.

Feature	Facebook Graph API	Facebook Groups Scraper With Engagement Analytics
App review	Required before any group-feed access	Not required — runs directly as an Apify Actor
Access scope	Mostly limited to groups the app/account administers	Any public group, by URL
Setup time	Application, review and access-token setup	Paste group URLs and start the run
Reaction detail	Aggregate reaction count	Full 7-type reaction breakdown per post
Derived metrics	None — raw counts only	Engagement rate, virality score, sentiment, rank/percentile computed automatically
Credentials	OAuth app plus a page/user access token	None for public groups; a cookie only for groups you already belong to

The Graph API is the right choice if you already run an approved app that manages the groups you need. For reading public groups you don't administer, or for engagement analytics Facebook's own API doesn't compute, Facebook Groups Scraper With Engagement Analytics is the faster path.

Why do developers and teams scrape Facebook?

For marketers and brand teams

Brand and community teams use Facebook Groups Scraper With Engagement Analytics to see which posts actually resonate in a niche group before running a campaign or partnership there. Setting postsPerGroup and sortBy: "highest_engagement" surfaces the content format — a photo album, a question, a Buy/Sell listing — that drives the highest engagementRate and viralityScore in a community. The per-group summary row's topContributors list also identifies the members driving the most engagement, useful for outreach or ambassador programs, without needing a Business account or ad access to any of the groups being monitored.

For researchers and analysts

Academic and market researchers use the Actor to study engagement patterns in public communities — support groups, hobbyist groups, local Buy/Sell groups — without needing membership inside them. Because reactionSentimentRatio, engagementPercentile and viralityScore are computed identically on every run, a researcher can compare posting cadence (postsPerDay) and sentiment across dozens of public groups on a consistent scale. Filtering with postsNewerThan and yearFilter keeps a study bounded to a specific period, and the Actor only reads what Facebook already serves a logged-out visitor.

For AI engineers and agent builders

AI teams feed the typed JSON straight into a RAG index or an agent's tool call — no HTML to parse, no reaction icons to classify. A monitoring agent can call the Actor nightly with groupUrls set to a watchlist, filter on minEngagementRate, and pass only the highest-scoring text and topComments into an LLM summarizer, citing the source with engagementRank and topPostUrl. Because field names and types stay stable between runs, the same prompt template keeps working without re-mapping fields after each scrape.

For developers building data products

Developers building social-analytics dashboards or reporting tools call the Actor on a schedule and store each run's summary row (type: "summary") as one time-series data point per group — avgEngagementRate, postsPerDay and totalEngagement become the metrics a chart tracks over time. Because post rows and summary rows share one dataset and are told apart by the type field, a single ingestion pipeline routes both into a warehouse table without a second scraper or a custom parser for group-level aggregates. The same JSON structure works whether the pipeline runs hourly, daily, or on demand from a webhook.

How to scrape Facebook (step by step)

1. Open Facebook Groups Scraper With Engagement Analytics on the Apify Store and start a run.
2. Add one or more public group URLs to groupUrls — no Facebook login is required for public groups.
3. Choose what to sample and how to sort: feedSortStrategy picks which slice of the feed Facebook returns (chronological, recent activity, top posts, or Buy/Sell listings), while sortBy orders the analytics output by newest, most reactions, or highest engagement.
4. Start the run. The Actor always routes requests through Apify's residential proxies; provide facebookSessionCookie only if you need to reach a private group you belong to.
5. Open the Dataset tab when the run finishes and export the post and summary rows as JSON, CSV or Excel, or pull them by API.

What to do when Facebook changes its structure

Facebook's GraphQL feed structure and document IDs change without notice. The extractor checks several alternate paths and rediscovers the query's document ID from the page's own JavaScript each run, so most front-end changes don't need a rebuild. The Actor is maintained, and output field names and types stay the same on your end even as Facebook's internal structure shifts.

⬇️ Input

Every input field is optional — there is no required parameter in the schema.

Parameter	Required	Type	Description	Example Value
groupUrls	No	array	One or more public Facebook group URLs to analyze. Only public groups can be read without a login cookie.	["https://www.facebook.com/groups/cheapmealideas/"]
postsPerGroup	No	integer	How many posts to pull from each group before engagement analytics are computed. Larger samples make averages, rank and percentile more stable.	30
feedSortStrategy	No	string (enum)	Which slice of the group's feed Facebook returns for analysis: CHRONOLOGICAL, RECENT_ACTIVITY, TOP_POSTS, or CHRONOLOGICAL_LISTINGS (Buy/Sell groups).	"TOP_POSTS"
sortBy	No	string (enum)	How to order the post rows after analytics are computed: newest, most_reactions, or highest_engagement. Default "highest_engagement".	"highest_engagement"
minReactions	No	integer	Keep only posts with at least this many total reactions. Default 0 (no filter).	5
minEngagementRate	No	integer	Keep only posts whose engagement rate is at least this value (1 = run average, 2 = twice average). Default 0 (no filter).	2
textFilterKeyword	No	string	Local substring match over the sampled feed — keep only posts whose text contains this keyword or letter. Not a Facebook search.	"recipe"
yearFilter	No	string	Keep only posts from a specific year. Best combined with textFilterKeyword.	"2024"
postsNewerThan	No	string	Keep only posts newer than this date/time. Absolute (YYYY-MM-DD) or relative ("7 days", "2 weeks", "1 month", "1 year").	"30 days"
proxyConfiguration	No	object	Proxy configuration. Residential proxies are used automatically for Facebook requests.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}
facebookSessionCookie	No	string (secret)	Optional Facebook session cookie (must include at least c_user and xs). Leave empty for logged-out public-group analysis.	"c_user=100000...; xs=12%3A...;"

Example input

{
  "groupUrls": ["https://www.facebook.com/groups/cheapmealideas/"],
  "postsPerGroup": 30,
  "feedSortStrategy": "TOP_POSTS",
  "sortBy": "highest_engagement",
  "minReactions": 5,
  "minEngagementRate": 0,
  "textFilterKeyword": "",
  "yearFilter": "",
  "postsNewerThan": "30 days",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "facebookSessionCookie": ""
}

The most common input mistake is expecting textFilterKeyword to run a Facebook search — it's a local substring match over the posts already sampled by feedSortStrategy, so a long phrase on a small postsPerGroup sample without a login cookie often returns zero rows; start with a single letter or a short common word.

⬆️ Output

Every row is typed, normalized JSON. Export the dataset as JSON, CSV or Excel. Two row shapes share the dataset, told apart by the type field: "post" and "summary".

Scraped Facebook group post (type: "post")

{
  "type": "post",
  "facebookUrl": "https://www.facebook.com/groups/cheapmealideas/",
  "url": "https://www.facebook.com/groups/cheapmealideas/posts/1234567890/",
  "time": "2026-06-30T14:10:00.000Z",
  "date": "2026-06-30T14:10:00.000Z",
  "user": {
    "id": "100000123456789",
    "name": "Jane Doe",
    "profileUrl": "https://www.facebook.com/jane.doe",
    "profilePicture": "https://scontent.xx.fbcdn.net/v/jane.jpg"
  },
  "text": "Budget dinner idea: one-pan chicken and rice for under $8.",
  "topReactionsCount": 120,
  "feedbackId": "ZmVlZGJhY2s6MTIzNDU2Nzg5MA==",
  "reactionLikeCount": 70,
  "reactionLoveCount": 30,
  "id": "UzpfSTEwMDAwMDEyMzQ1Njc4OTA6MTIzNDU2",
  "legacyId": "1234567890",
  "attachments": [
    {
      "thumbnail": "https://scontent.xx.fbcdn.net/v/thumb.jpg",
      "__typename": "Photo",
      "is_playable": false,
      "image": { "uri": "https://scontent.xx.fbcdn.net/v/photo.jpg", "height": 720, "width": 960 },
      "id": "9876543210",
      "ocrText": null
    }
  ],
  "likesCount": 120,
  "sharesCount": 6,
  "commentsCount": 34,
  "topComments": [
    {
      "commentUrl": "https://www.facebook.com/groups/cheapmealideas//permalink/1234567890/?comment_id=555",
      "id": "Y29tbWVudDo1NTU=",
      "text": "Making this tonight, thank you!",
      "profileUrl": "https://www.facebook.com/some.commenter",
      "profileName": "Alex Rivera",
      "likesCount": "4"
    }
  ],
  "facebookId": "111222333",
  "groupTitle": "Cheap Meal Ideas",
  "pageAdLibrary": { "is_business_page_active": false, "id": "111222333" },
  "inputUrl": "https://www.facebook.com/groups/cheapmealideas/",
  "authorProfileUrl": "https://www.facebook.com/jane.doe",
  "authorProfilePicture": "https://scontent.xx.fbcdn.net/v/jane.jpg",
  "reactionCareCount": 10,
  "reactionHahaCount": 6,
  "reactionWowCount": 2,
  "reactionSadCount": 1,
  "reactionAngryCount": 1,
  "scrapedAt": "2026-07-25T12:00:00.000Z",
  "engagementTotal": 160,
  "ageHours": 4.2,
  "viralityScore": 38.095,
  "reactionsBreakdown": { "like": 70, "love": 30, "care": 10, "haha": 6, "wow": 2, "sad": 1, "angry": 1 },
  "positiveReactions": 118,
  "negativeReactions": 2,
  "reactionSentimentRatio": 0.9833,
  "engagementRate": 2.13,
  "engagementRank": 1,
  "engagementPercentile": 100.0
}

Group engagement summary (type: "summary")

{
  "type": "summary",
  "facebookUrl": "https://www.facebook.com/groups/cheapmealideas/",
  "inputUrl": "https://www.facebook.com/groups/cheapmealideas/",
  "groupTitle": "Cheap Meal Ideas",
  "totalPosts": 30,
  "avgReactions": 54.2,
  "avgComments": 12.7,
  "avgShares": 3.1,
  "avgEngagementTotal": 70.0,
  "avgEngagementRate": 1.0,
  "avgViralityScore": 9.84,
  "avgReactionSentimentRatio": 0.91,
  "totalReactions": 1626,
  "totalComments": 381,
  "totalShares": 93,
  "totalEngagement": 2100,
  "reactionTotals": { "like": 980, "love": 420, "care": 120, "haha": 60, "wow": 30, "sad": 10, "angry": 6 },
  "topPostUrl": "https://www.facebook.com/groups/cheapmealideas/posts/1234567890/",
  "topPostEngagement": 160,
  "avgPostingIntervalHours": 6.4,
  "postsPerDay": 3.75,
  "topContributors": [
    { "id": "100000123456789", "name": "Jane Doe", "profileUrl": "https://www.facebook.com/jane.doe", "postCount": 4, "totalEngagement": 410 }
  ],
  "scrapedAt": "2026-07-25T12:00:00.000Z"
}

How many results can you scrape with Facebook Groups Scraper With Engagement Analytics?

There's no hard result cap in the Actor's input schema — postsPerGroup only has a minimum of 1, so you set the target per group yourself (the prefilled default is 20). List multiple groupUrls in one run and each group is scraped and analyzed independently up to its own postsPerGroup target. In practice, the number of posts returned also depends on how many posts Facebook's feed actually serves before pagination runs out or a login wall appears — when that happens the run stops and returns whatever it collected rather than padding the result set. Engagement filters (minReactions, minEngagementRate) are applied after scraping, so a narrow filter on a small sample can return fewer rows than postsPerGroup requested. No separate pagination parameter is needed — raise postsPerGroup for a larger sample per group.

Integrate Facebook Groups Scraper With Engagement Analytics and automate your workflow

Facebook Groups Scraper With Engagement Analytics works with any language or tool that can send an HTTP request.

REST API integration

from apify_client import ApifyClient

client = ApifyClient("<APIFY_API_TOKEN>")
run = client.actor("<your-username>/facebook-groups-scraper-with-engagement-analytics").call(
    run_input={
        "groupUrls": ["https://www.facebook.com/groups/cheapmealideas/"],
        "postsPerGroup": 30,
        "sortBy": "highest_engagement",
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    if item["type"] == "post":
        print(item["text"], item["engagementRate"])

Works in Python, Node.js, Go, Ruby, cURL.

MCP for AI agents

The Actor is callable through Apify's Actors MCP Server, which exposes any Apify Actor as a tool for MCP-compatible clients (Claude Code, Cursor, VS Code and others). Register it locally with npx -y @apify/actors-mcp-server (set APIFY_TOKEN in the environment), or use the hosted server at https://mcp.apify.com?tools=<your-username>/facebook-groups-scraper-with-engagement-analytics.

Automation platforms (n8n, Make)

In n8n, install the community node @apify/n8n-nodes-apify, add an Apify credential with your API token, and use the Apify node's Run Actor action with this Actor's ID, then chain a Get Dataset Items action to pull the post and summary rows into the rest of your workflow. In Make, the Apify app's Run an Actor module starts the scrape synchronously, and a follow-up Get Dataset Items module retrieves the results for routing into Google Sheets, a database, or any of Make's other app connectors.

Is it legal to scrape Facebook?

Yes — Facebook Groups Scraper With Engagement Analytics only reads posts and comments Facebook already serves to a logged-out visitor of a public group; it does not bypass any login wall or read a private group without a cookie belonging to a member. Post and comment rows include personal data — author names, profile URLs and profile pictures — so GDPR and CCPA govern how you store, process and reuse that data, particularly for EU or California residents. Facebook's Terms of Service also apply to any account or cookie you choose to use. Consult legal counsel for commercial use cases involving bulk personal data.

Frequently asked questions

Does Facebook Groups Scraper With Engagement Analytics work without a Facebook account?

Yes. Public groups are read logged out through Apify's residential proxy; no Facebook login or cookie is required. Provide facebookSessionCookie only if you want to reach a private or closed group you already belong to.

How often is the scraped data updated?

Every run fetches the group's feed live from Facebook at the time you start it — nothing is served from a cache. Engagement metrics (rate, rank, percentile, summary averages) are recomputed fresh for that run's post set every time.

What happens if a group has no public posts, or Facebook returns an error?

If Facebook serves no posts for a URL — an empty group, a login wall, or a feed exhausted by filters — that group produces no post rows and no summary row rather than a fabricated result. Check the run log for a login-wall, CSRF or rate-limit message if a URL you expect to return posts comes back empty.

Can I scrape private or restricted Facebook groups?

No, not without membership. Only public groups are read logged out. To read a private or closed group's posts you must supply a facebookSessionCookie for an account that already belongs to that group — the Actor does not bypass group membership or privacy settings.

How does pricing work for this Actor?

The Actor charges per row_result event — each post row and each per-group summary row pushed to the dataset is one billed event. Filters like minReactions and minEngagementRate reduce the row count, and therefore the cost, by dropping low-engagement posts before they're pushed.

Does Facebook Groups Scraper With Engagement Analytics work for AI agent workflows and LLM pipelines?

Yes. It's callable as an HTTP endpoint by any agent framework, and it's also reachable through Apify's Actors MCP Server as a tool for MCP-compatible clients. Every response is typed JSON with stable field names, so agents can consume post and summary rows without an HTML-parsing step.

How does Facebook Groups Scraper With Engagement Analytics handle Facebook's anti-bot system?

Requests always route through Apify's residential proxies, warm up a guest session before requesting group content, and detect and log login walls, CSRF token failures and rate-limit responses instead of silently returning zero posts. The document ID and node ID the GraphQL request needs are rediscovered from the page on every run rather than hard-coded, so routine front-end churn doesn't require a manual fix.

Does Facebook Groups Scraper With Engagement Analytics return data in a format LLMs can use directly?

Yes. Every post and summary row is typed, normalized JSON with stable field names — no HTML, no selectors, no reaction icons to classify. Pass rows directly into an LLM context window, index them in a vector store, or route them through an agent tool call.

Can I use Facebook Groups Scraper With Engagement Analytics without managing proxies?

Yes. The Actor always uses Apify's residential proxy group for Facebook requests; there's no separate proxy infrastructure to maintain beyond the proxyConfiguration field the input schema exposes for advanced overrides.

What happens when Facebook changes its structure or blocks the scraper?

The Actor is maintained, and its output schema stays stable — field names and types don't change on your end. The extractor already tries multiple fallback paths for feed data, group title and document ID discovery, so many Facebook front-end changes are absorbed without breaking existing integrations.

Your feedback

Found a bug, a missing field, or a group type the Actor doesn't handle well? We want to know. Open an issue on the Actor's Apify Store page or reach out through Apify's support channels — reports like this directly shape the next update.