# 𝕏 (twitter) Community Scraper (`agentx/twitter-community-scraper`) Actor X (Twitter) Communities API: creator profile, member analytics, hashtag velocity, and post engagement per community. JSON feed for community research, brand sentiment, and niche-audience-discovery pipelines. - **URL**: https://apify.com/agentx/twitter-community-scraper.md - **Developed by:** [AgentX](https://apify.com/agentx) (community) - **Categories:** Social media, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Twitter Community Scraper - X Community Governance & Intelligence API **Extract structured X (Twitter) community data with 14+ fields including member counts, creator verification, join policies, trending hashtags, community rules, and topic classification.** This API accepts community URLs or IDs and returns structured JSON for community governance analysis, brand-sentiment monitoring, and niche-market intelligence workflows. [![X/Twitter](https://img.shields.io/badge/X_Twitter-ffd700?style=for-the-badge&color=ffd700)](https://apify.com/agentx/twitter-community-scraper?fpr=aiagentapi) [![14+ Fields](https://img.shields.io/badge/14+_Fields-ffd700?style=for-the-badge&color=ffd700)](https://apify.com/agentx/twitter-community-scraper?fpr=aiagentapi) [![Governance Data](https://img.shields.io/badge/Governance_Data-ffd700?style=for-the-badge&color=ffd700)](https://apify.com/agentx/twitter-community-scraper?fpr=aiagentapi) --- ### Why Choose This X Community Extraction API #### 14+ Fields with Member Analytics, Creator Intelligence & Governance Data **📊 Complete Community Metadata** Extract community ID, display name, description, creation timestamp, topic classification, NSFW status, banner URL, and join policy in a single API call. **👤 Creator Intelligence** Each community includes creator username, legacy verification status, and X Premium blue verification status for influence mapping and creator vetting. **📈 Member Analytics** Real-time member count for audience sizing, plus member facepile avatar URLs for visual profiling and engagement analysis. **#️⃣ Trending Hashtags & Rules** Extract community hashtag lists for topic monitoring and full rule sets with structured name/description pairs for moderation and compliance research. **🧭 Compute-Based Pricing** This actor uses Apify's compute-based pricing model, so cost scales with runtime rather than a per-community extraction fee. --- ### Why Choose This API This actor is designed for structured output, repeatable automation, and downstream integration in monitoring, enrichment, or ingestion pipelines. ### Quick Start Guide #### How to Extract X Community Data in 3 Steps ##### Step 1: Enter Community URLs or IDs Provide X community URLs or numeric IDs. Supports: `https://x.com/i/communities/1489422448332197888` or `1669501013441806336`. ##### Step 2: Run the Actor Click "Start" to extract community profiles. Batch up to 100 communities per run. ##### Step 3: Access Structured Results Download JSON dataset or integrate via Apify API into analytics pipelines. #### Example Input ```json { "community": [ "https://x.com/i/communities/1489422448332197888", "1669501013441806336" ] } ```` *** ### Input Parameters | Parameter | Type | Required | Description | | ---------------- | ----- | -------- | ----------------------------------------------- | | **🐦 Community** | Array | Yes | Twitter community URLs or IDs (max 100 per run) | *** ### Output Data Schema Each extracted X community returns 14+ structured fields: | Field | Type | Description | | -------------------- | ------- | ------------------------------------------------------ | | **id** | String | Unique Twitter community identifier | | **display\_name** | String | Community display name | | **description** | String | Community description/bio | | **creator** | Object | Creator info: `user_name`, `blue_verified`, `verified` | | **join\_policy** | String | Access policy (Open, Closed, Invite-Only) | | **created\_at** | String | ISO 8601 community creation timestamp | | **banner\_url** | String | Banner image URL (high resolution) | | **member\_count** | Integer | Total community members | | **is\_nsfw** | Boolean | NSFW flag for brand safety | | **community\_topic** | String | Primary topic/category classification | | **community\_tags** | Array | Trending hashtags in the community | | **members\_facepile** | Array | Avatar URLs of featured members | | **community\_rules** | Array | Rules with `name` and `description` pairs | | **processor** | String | Apify actor URL | | **processed\_at** | String | ISO processing timestamp | #### Example Output ```json { "id": "1489422448332197888", "display_name": "Apple", "description": "A community for Apple fans, developers, and enthusiasts.", "creator": { "user_name": "theapplehub", "blue_verified": true, "verified": false }, "join_policy": "Open", "created_at": "2022-02-04T02:15:58+00:00", "member_count": 596636, "is_nsfw": false, "community_topic": "Technology", "community_tags": ["Apple", "iPhone", "MacBook", "iOS"], "community_rules": [ { "name": "Be respectful", "description": "Treat all members with courtesy." } ], "processor": "https://apify.com/agentx/twitter-community-scraper?fpr=aiagentapi", "processed_at": "2026-01-01T08:30:45+00:00" } ``` *** ### Integration Examples #### Python Integration Example ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run_input = { "community": [ "https://x.com/i/communities/1489422448332197888", "1669501013441806336" ] } run = client.actor("Rh9WgmwbWqdEG2dUb").call(run_input=run_input) dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items for item in dataset_items: print(f"{item['display_name']} | {item['member_count']} members | {item['join_policy']}") ``` #### JavaScript/Node.js Integration ```javascript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_API_TOKEN" }); const input = { community: [ "https://x.com/i/communities/1489422448332197888", "1669501013441806336", ], }; const run = await client.actor("Rh9WgmwbWqdEG2dUb").call(input); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.log( `${item.display_name} | ${item.member_count} members | Topic: ${item.community_topic}`, ); }); ``` #### Actor ID for Platform Integration ```text Rh9WgmwbWqdEG2dUb ``` #### Ⓜ️ [Make.com Setup:](https://www.make.com/en/register?pc=marketingme) 1. Login to **[Make.com (Get 1000 Free Credits)](https://www.make.com/en/register?pc=marketingme)** 2. Add module **"Run an Actor"** 3. Turn **'Map'** on - right side of the 'Actor\*' 4. Paste **Actor ID** - from above 5. Click the **'⟳ Refresh'** - left side of Map 6. **Input JSON\*** - Modify the parameters as needed 7. Set **"Run synchronously"** to **YES** 8. Add module **"Get Dataset Items"** - receive the result 9. In **Dataset ID\*** select **defaultDatasetId** #### 🎱 [N8N.io Setup:](https://n8n.io/) 1. Add **'Run an Actor and get dataset'** - from the apify node 2. **Actor** → **By ID** → **Paste Actor ID** - from above 3. **Input JSON** - Modify the parameters as needed #### JSON-LD Metadata ```json { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Twitter Community Scraper", "description": "X/Twitter community data extraction API with 14+ fields, member analytics, and governance data", "applicationCategory": "Developer Tools", "operatingSystem": "Cloud", "url": "https://apify.com/agentx/twitter-community-scraper?fpr=aiagentapi", "dateModified": "2026-04-21", "offers": { "@type": "Offer", "price": "0", "priceCurrency": "USD" } } ``` *** ### Pricing & Cost Calculator #### Compute-Based Pricing This actor uses Apify's compute-based pricing model. You pay for runtime resources such as memory and execution time, not a per-community extraction fee. | Resource | Cost | Description | | ----------- | -------------------- | ----------------------------------------- | | **Compute** | Standard Apify rates | Pay only for CPU, memory, and proxy usage | #### Cost Examples **Small Batch** (10 communities): - Compute: ~$0.01 - **Total**: ~$0.01 **Medium Batch** (50 communities): - Compute: ~$0.05 - **Total**: ~$0.05 **Large Batch** (100 communities): - Compute: ~$0.10 - **Total**: ~$0.10 *** ### Use Cases & Applications #### Competitive Intelligence & Market Research **Community Landscape Mapping** Extract member counts, topics, and creator profiles across competitor communities to benchmark brand presence and identify market positioning gaps. **Audience Sizing** Use `member_count` across niche communities to quantify addressable markets and prioritize community engagement strategies. #### Brand Safety & Due Diligence **NSFW Risk Assessment** Check `is_nsfw` flags, join policies, and governance rules before brand association, sponsorship, or advertising placement. **Creator Vetting** Verify creator verification status (legacy + X Premium) and community governance quality before partnership investment. #### Trend Detection & Content Strategy **Hashtag Monitoring** Extract `community_tags` for real-time topic intelligence, content calendar planning, and emerging trend identification. **Growth Tracking** Schedule recurring extractions to monitor `member_count` trends as leading indicators of community health and market interest. *** ### FAQ #### What input formats does Twitter Community Scraper accept? Both full URLs (`https://x.com/i/communities/1489422448332197888`) and direct numeric IDs (`1669501013441806336`). You can mix both in a single run. #### Can I extract data from private or closed communities? No. Only publicly visible communities are accessible. Private and invite-only communities require membership and return `not found` status. #### What creator verification data is included? The `creator` object includes `user_name`, `verified` (legacy blue checkmark), and `blue_verified` (X Premium) for comprehensive creator vetting. #### How many communities can I process per run? Up to 100 communities per run. Processing speed: ~5-10 seconds per community. #### How is this actor priced? This actor uses Apify's compute-based pricing model. You pay for standard platform runtime resources, not a per-community extraction fee. #### Can I track community growth over time? Yes. Schedule the actor to run daily or weekly and compare `member_count` values across runs to monitor growth trends. *** ### SEO Keywords & Search Terms #### Primary Keywords Twitter community scraper API, X community data extraction, Twitter community intelligence, X community analytics API, community member count extraction, social community data #### Long-Tail Keywords extract X Twitter community data API, Twitter community governance rules extraction, X community member analytics pipeline, Twitter community hashtag monitoring structured data, X community member intelligence structured JSON extraction, Twitter community scraper governance rules member roles API, bulk X community data extraction audience segmentation pipeline, X community analytics member profiling competitive intelligence #### Industry Terms community intelligence, audience sizing, brand safety, creator vetting, social listening, competitive intelligence, trend detection *** ### Trust & Certifications - ✅ **Enterprise Ready** - Processing community data with 99.9% uptime - ✅ **GDPR Compliant** - EU data protection standards - ✅ **14+ Data Fields** - Comprehensive community intelligence - ✅ **Regular Updates** - Continuous maintenance for platform changes *** ### Legal & Compliance #### Data Rights & Usage All data extracted by this actor originates from publicly accessible X/Twitter communities. Users are responsible for ensuring their use complies with applicable laws and X's Terms of Service. #### Privacy Compliance - **GDPR**: Compliant with EU General Data Protection Regulation. No personal data is stored beyond the extraction session. - **CCPA**: Compliant with California Consumer Privacy Act requirements. #### Platform Terms of Service Users must review and comply with X's Terms of Service regarding data usage. This tool accesses only publicly available community information. #### Enterprise Support For enterprise licensing, custom integrations, or compliance inquiries: - **Telegram**: [@AiAgentApi](https://t.me/AiAgentApi) *** ### Related Tools #### Jobs & Hiring - **[All Job Scraper](https://apify.com/agentx/all-jobs-scraper?fpr=aiagentapi)** - Multi-Platform Job Data Extraction API - **[Indeed Hiring Scraper](https://apify.com/agentx/indeed-hiring-scraper?fpr=aiagentapi)** - Indeed Job Extraction & Market Intelligence - **[LinkedIn Hiring Scraper](https://apify.com/agentx/linkedin-hiring-scraper?fpr=aiagentapi)** - LinkedIn Job Data Extraction & Talent Intelligence - **[Glassdoor Hiring Scraper](https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi)** - Glassdoor Salary Intelligence & Company Reviews #### LinkedIn - **[LinkedIn Company Scraper](https://apify.com/agentx/linkedin-company-scraper?fpr=aiagentapi)** - LinkedIn Company Data Extraction & Firmographic Intelligence - **[LinkedIn Profile Scraper](https://apify.com/agentx/linkedin-profile-scraper?fpr=aiagentapi)** - 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Zillow Property Listing Extraction & Real Estate Data #### Maps & Local - **[Google Maps Store Scraper](https://apify.com/agentx/google-maps-store-scraper?fpr=aiagentapi)** - Google Maps Business Data Extraction & Local Intelligence *** ### Support & Community - **👥 Community**: [@Apify\_Actor](https://t.me/Apify_Actor) - **👤 Contact Team**: [@AiAgentApi](https://t.me/AiAgentApi) *** **Last Updated:** April 21, 2026 # Actor input Schema ## `community` (type: `array`): Enter 𝕏(twitter) community URL or ID ## Actor input object example ```json { "community": [ "https://x.com/i/communities/1992144505747931156", "1762494276565426592" ] } ``` # Actor output Schema ## `results` (type: `string`): Open the full list of X community results with creator info, member count, banner image, hashtags, and rules. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "community": [ "https://x.com/i/communities/1992144505747931156", "1762494276565426592" ] }; // Run the Actor and wait for it to finish const run = await client.actor("agentx/twitter-community-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "community": [ "https://x.com/i/communities/1992144505747931156", "1762494276565426592", ] } # Run the Actor and wait for it to finish run = client.actor("agentx/twitter-community-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "community": [ "https://x.com/i/communities/1992144505747931156", "1762494276565426592" ] }' | apify call agentx/twitter-community-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentx/twitter-community-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "𝕏 (twitter) Community Scraper", "description": "X (Twitter) Communities API: creator profile, member analytics, hashtag velocity, and post engagement per community. JSON feed for community research, brand sentiment, and niche-audience-discovery pipelines.", "version": "0.0", "x-build-id": "NRhet7WQAwbAtQ4Qt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentx~twitter-community-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentx-twitter-community-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentx~twitter-community-scraper/runs": { "post": { "operationId": "runs-sync-agentx-twitter-community-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentx~twitter-community-scraper/run-sync": { "post": { "operationId": "run-sync-agentx-twitter-community-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "community" ], "properties": { "community": { "title": "🐦 Community", "minItems": 1, "maxItems": 1000, "type": "array", "description": "Enter 𝕏(twitter) community URL or ID", "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```