Pricing

$19.99/month + usage

🤖 Facebook Group Sentiment & Lead Analysis Scraper

Extract data from public Facebook groups including posts, comments, reactions, and member insights. This Apify scraper helps you track discussions, analyze engagement, monitor trends, and gather valuable data for research, marketing, and community intelligence

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScrapeEngine

Actor stats

Bookmarked

Total users

Monthly active users

25 days

Issues response

19 days ago

Last modified

Categories

Automation

Lead generation

Social media

You can access the 🤖 Facebook Group Sentiment & Lead Analysis Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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        "type": "object",
        "properties": {
          "groupUrlsToAnalyze": {
            "title": "🔗 Group URLs to Analyze",
            "type": "array",
            "description": "Public Facebook group URLs whose posts you want to analyze for sentiment and lead intent. Add multiple groups in one run. Only public groups are supported without a session cookie.\n\nExample: [\"https://www.facebook.com/groups/cheapmealideas/\"]",
            "items": {
              "type": "string"
            }
          },
          "postsToAnalyze": {
            "title": "📊 Posts to Analyze",
            "minimum": 1,
            "type": "integer",
            "description": "Maximum number of posts to pull into the analysis across all groups. Leave empty to analyze as many as possible (slower). Recommended: start with 20-50 to test. Default is 10."
          },
          "feedScanOrder": {
            "title": "🔄 Feed Scan Order",
            "enum": [
              "CHRONOLOGICAL",
              "RECENT_ACTIVITY",
              "TOP_POSTS",
              "CHRONOLOGICAL_LISTINGS"
            ],
            "type": "string",
            "description": "Order in which posts are pulled from each group before analysis:\n- Chronological: oldest → newest\n- Recent Activity: most recently active discussions\n- Top Posts: most popular/engaging content\n- Chronological Listings: for Buy/Sell groups"
          },
          "intentKeywordFilter": {
            "title": "🔍 Intent Keyword Filter",
            "type": "string",
            "description": "Client-side substring filter applied to each post's text (not a full Facebook search). Only matching posts are kept and analyzed. Without login, single letters or short fragments work best. Leave empty to analyze all posts.\n\nExample: \"buy\" or \"recommend\""
          },
          "analysisYear": {
            "title": "📅 Analysis Year",
            "type": "string",
            "description": "Keep only posts from a specific year (e.g. 2024) for analysis. Works together with the Intent Keyword Filter above."
          },
          "analyzePostsNewerThan": {
            "title": "📅 Analyze Posts Newer Than",
            "pattern": "^$|^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$",
            "type": "string",
            "description": "Only analyze posts newer than this date/time.\nFormats:\n- Absolute: YYYY-MM-DD (e.g. 2024-01-15)\n- Relative: \"30 days\", \"2 weeks\", \"1 month\", \"1 year\""
          },
          "enableAI": {
            "title": "🤖 Enable AI Enrichment",
            "type": "boolean",
            "description": "Turn on AI analysis of each post's text. Needs a valid API key for the selected provider. Default is off.",
            "default": false
          },
          "aiModel": {
            "title": "🧠 AI Model / Provider",
            "enum": [
              "claude-haiku-4-5",
              "claude-sonnet-5",
              "claude-opus-4-8",
              "gpt-4o-mini",
              "gpt-4o",
              "gpt-4.1-mini",
              "o3-mini",
              "gemini-2.0-flash-lite",
              "gemini-2.0-flash",
              "gemini-2.5-flash",
              "grok-3-mini",
              "deepseek-chat",
              "sonar",
              "mistral-small-latest"
            ],
            "type": "string",
            "description": "Provider is auto-detected from the model name: claude-*=Anthropic, gpt-*/o1/o3=OpenAI, gemini-*=Google, grok-*=xAI, deepseek-*=DeepSeek, sonar*=Perplexity, mistral-*=Mistral. Cheaper mini/flash/haiku/lite models are recommended for classification. Only used when AI enrichment is enabled.",
            "default": "claude-haiku-4-5"
          },
          "aiApiKey": {
            "title": "🔑 AI API Key",
            "type": "string",
            "description": "API key for the selected provider. Kept secret. If left empty, the actor falls back to the provider's environment variable (e.g. ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, XAI_API_KEY, DEEPSEEK_API_KEY, PERPLEXITY_API_KEY, MISTRAL_API_KEY). Only used when AI enrichment is enabled."
          },
          "proxyConfiguration": {
            "title": "🌐 Proxy Configuration",
            "type": "object",
            "description": "Proxy settings. This actor uses Apify Residential proxies for reliable access to Facebook and rotates IPs automatically on retries."
          },
          "facebookSessionCookie": {
            "title": "🍪 Facebook Cookie String",
            "type": "string",
            "description": "Optional Facebook session cookie header (must include at least c_user and xs). Leave empty to analyze public groups logged-out. Use a dedicated/secondary account — cookies grant access to that account.\n\nFormat: c_user=100000...; xs=12%3A...; datr=...; fr=..."
          }
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                  "DATASET_WRITES": {
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                  "KEY_VALUE_STORE_READS": {
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                  "KEY_VALUE_STORE_WRITES": {
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                  "KEY_VALUE_STORE_LISTS": {
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                    "type": "integer",
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                    "type": "integer",
                    "example": 0
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                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
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🤖 Facebook Group Sentiment & Lead Analysis Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for 🤖 Facebook Group Sentiment & Lead Analysis Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

🤖 Facebook Group Sentiment & Lead Analysis Scraper API in Python

🤖 Facebook Group Sentiment & Lead Analysis Scraper API in JavaScript

🤖 Facebook Group Sentiment & Lead Analysis Scraper API through CLI

🤖 Facebook Group Sentiment & Lead Analysis Scraper API

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