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.

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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.

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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

{
  "community": [
    "https://x.com/i/communities/1489422448332197888",
    "1669501013441806336"
  ]
}

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Input Parameters

Parameter	Type	Required	Description
🐦 Community	Array	Yes	Twitter community URLs or IDs (max 100 per run)

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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

{
  "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",
  "processed_at": "2026-01-01T08:30:45+00:00"
}

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Integration Examples

Python Integration

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
    "community": [
        "https://x.com/i/communities/1489422448332197888",
        "1669501013441806336"
    ]
}

run = client.actor("agentx/twitter-community-scraper").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 Integration

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('agentx/twitter-community-scraper').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}`);
});

Make.com (Integromat) Integration

1. Add an Apify module to your Make scenario
2. Select Run an Actor action
3. Set Actor to agentx/twitter-community-scraper
4. Configure input JSON with community URLs/IDs
5. Set Run synchronously to YES
6. Add Get Dataset Items module to receive community data

N8N Integration

1. Add an Apify node to your n8n workflow
2. Set Actor to agentx/twitter-community-scraper
3. Configure community URLs/IDs in input JSON
4. Use downstream nodes to process community data

JSON-LD Metadata

{
  "@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": "2026-06-24",
  "offers": {
    "@type": "Offer",
    "price": "0",
    "priceCurrency": "USD"
  }
}

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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

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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.

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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.

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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

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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

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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

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Support & Community

• 👥 Community: @Apify_Actor
• 👤 Contact Team: @AiAgentApi

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Last Updated: June 24, 2026