Telegram Info Scraper
Pricing
Pay per event
Telegram Info Scraper
Telegram entity-intelligence API: 30+ fields per user, group, channel, or bot — phone, premium flag, scam detection, verification, member counts. JSON output for KYC, lead enrichment, and abuse-monitoring pipelines.
Pricing
Pay per event
Rating
5.0
(4)
Developer
AgentX
Actor stats
6
Bookmarked
612
Total users
26
Monthly active users
a day ago
Last modified
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Telegram Info Scraper - Telegram Entity Intelligence & Metadata API
Extract structured metadata from Telegram users, bots, groups, and channels with 40+ fields per entity including verification status, premium flags, member counts, admin counts, privacy settings, last seen status, and contact availability. This API accepts usernames, @handles, or t.me URLs in batch (up to 10,000 targets) and returns JSON with entity type classification, membership analytics, and moderation flags for intelligence pipelines, entity verification, and abuse-monitoring workflows.
Why Choose This Telegram Entity Extraction API
40+ Fields with Type Coverage, Membership Analytics & Privacy Metadata
🎯 Unified Entity Extraction Extract structured metadata from any Telegram entity — users, bots, groups, channels, and supergroups — via a single API endpoint with automatic target-type detection and consistent field mapping.
📊 Comprehensive Metadata 40+ fields per entity: verification status, premium flag, scam/fake markers, member/admin/banned counts, online count, privacy settings (calls, reads, voice), profile photo status, and forum/gigagroup classification.
🔍 Flexible Input Formats
Accepts usernames (BotFather), @handles (@telegram), t.me URLs (t.me/telegram), and full URLs — all automatically normalized and resolved.
📈 Batch Processing Process up to 10,000 targets per run with parallel extraction and automatic rate limiting.
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 Telegram Entity Data in 3 Steps
Step 1: Configure Targets
Enter Telegram usernames, @handles, or t.me URLs as an array.
Step 2: Run the Actor
Click "Start" to begin extraction. Entities are resolved and processed in parallel batches.
Step 3: Access Structured Results
Download JSON dataset or integrate via Apify API into your intelligence pipeline.
Example Input
{"telegram_targets": ["AiAgentApi","@BotFather","t.me/telegram","binanceexchange","https://t.me/Apify_Actor"]}
Input Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| 🎯 Telegram Targets | Array | Yes | Telegram usernames, @handles, or t.me URLs (5–10,000 items) |
Output Data Schema
Each extracted Telegram entity returns 40+ structured fields based on entity type:
Core Fields (All Entity Types)
| Field | Type | Description |
|---|---|---|
| status | String | Processing status (success/failed) |
| source_url | String | Original Telegram URL processed |
| type | String | Entity type: user, bot, channel, supergroup, group |
| id | Integer | Telegram entity unique identifier |
| usernames | Array | List of entity usernames |
| description | String | Bio or entity description |
| is_verified | Boolean | Verified entity flag |
| is_scam | Boolean | Scam-flagged entity |
| is_fake | Boolean | Fake-flagged entity |
| is_restricted | Boolean | Restricted entity flag |
| profile_photo | Boolean | Has profile photo |
User/Bot Fields
| Field | Type | Description |
|---|---|---|
| first_name | String | User first name |
| last_name | String | User last name |
| phone | String | Phone number (if accessible) |
| lang_code | String | Language code |
| is_premium | Boolean | Telegram Premium status |
| last_seen | String | Last seen timestamp |
| common_chats_count | Integer | Shared chat count |
Group/Channel Fields
| Field | Type | Description |
|---|---|---|
| title | String | Group/channel title |
| member_count | Integer | Total members |
| online_count | Integer | Currently online members |
| admins_count | Integer | Administrator count |
| banned_count | Integer | Banned member count |
| created_date | String | Creation timestamp |
| is_forum | Boolean | Forum-enabled flag |
| gigagroup | Boolean | Gigagroup flag |
Example Output
{"status": "success","source_url": "https://t.me/telegram","processor": "https://apify.com/agentx/telegram-info-scraper?fpr=aiagentapi","processed_at": "2025-01-15T14:23:45.000Z","type": "channel","id": 123456789,"usernames": ["telegram"],"title": "Telegram","description": "Official Telegram channel","is_verified": true,"is_scam": false,"is_fake": false,"member_count": 15000000,"online_count": 250000,"admins_count": 5,"banned_count": 0,"created_date": "2013-08-14T17:45:00.000Z","is_forum": false,"gigagroup": true}
Integration Examples
Python Integration Example
from apify_client import ApifyClientclient = ApifyClient("YOUR_API_TOKEN")run_input = {"telegram_targets": ["telegram", "@BotFather", "t.me/binanceexchange"]}run = client.actor("lAybf7rRybdzabbBk").call(run_input=run_input)dataset_items = client.dataset(run["defaultDatasetId"]).list_items().itemsfor item in dataset_items:print(f"{item['type']}: {item.get('title') or item.get('first_name')} | Members: {item.get('member_count', 'N/A')}")
JavaScript/Node.js Integration
import { ApifyClient } from "apify-client";const client = new ApifyClient({ token: "YOUR_API_TOKEN" });const input = {telegram_targets: ["telegram", "@BotFather", "t.me/binanceexchange"],};const run = await client.actor("lAybf7rRybdzabbBk").call(input);const { items } = await client.dataset(run.defaultDatasetId).listItems();items.forEach((item) => {console.log(`${item.type}: ${item.title || item.first_name} | Verified: ${item.is_verified}`,);});
Actor ID for Platform Integration
lAybf7rRybdzabbBk
Ⓜ️ Make.com Setup:
- Login to Make.com (Get 1000 Free Credits)
- Add module "Run an Actor"
- Turn 'Map' on - right side of the 'Actor*'
- Paste Actor ID - from above
- Click the '⟳ Refresh' - left side of Map
- Input JSON* - Modify the parameters as needed
- Set "Run synchronously" to YES
- Add module "Get Dataset Items" - receive the result
- In Dataset ID* select defaultDatasetId
🎱 N8N.io Setup:
- Add 'Run an Actor and get dataset' - from the apify node
- Actor → By ID → Paste Actor ID - from above
- Input JSON - Modify the parameters as needed
JSON-LD Metadata
{"@context": "https://schema.org","@type": "SoftwareApplication","name": "Telegram Info Scraper","description": "Telegram entity metadata extraction API with 40+ fields, target-type coverage, and membership analytics","applicationCategory": "Developer Tools","operatingSystem": "Cloud","url": "https://apify.com/agentx/telegram-info-scraper?fpr=aiagentapi","dateModified": "2026-04-21","offers": {"@type": "Offer","price": "0.00521","priceCurrency": "USD"}}
Pricing & Cost Calculator
Transparent Pay-Per-Use Model
| Event Type | Price | Description |
|---|---|---|
| Actor Usage | $0.00001 | Per compute unit consumed during run |
| Profile | $0.00521 | Per entity extracted with full metadata |
Cost Examples
Small Batch (50 entities):
- Profiles: 50 × $0.00521 = $0.26
- Total: ~$0.26
Medium Batch (500 entities):
- Profiles: 500 × $0.00521 = $2.61
- Total: ~$2.61
Large Batch (5,000 entities):
- Profiles: 5,000 × $0.00521 = $26.05
- Total: ~$26.05
Use Cases & Applications
Entity Verification & Due Diligence
Account Verification Batch-verify Telegram entities for scam/fake flags, verification status, and account age before engaging or onboarding community partners.
Bot Auditing Extract bot metadata to classify and audit automated entities operating in your Telegram communities.
Community Intelligence
Group/Channel Analytics Extract member counts, admin counts, online member ratios, and moderation settings for community benchmarking and competitive analysis.
Audience Research Profile entity metadata across groups and channels to map community structures, identify key channels, and understand audience distribution.
Contact Discovery & Lead Enrichment
Profile Enrichment Enrich existing Telegram contact lists with verification status, premium flags, language codes, and availability metadata for CRM integration.
Network Mapping Extract common chat counts and linked chat IDs to map entity relationships across the Telegram ecosystem.
FAQ
What Telegram entity types are supported?
Users, bots, groups, channels, and supergroups. Entity type is automatically detected and classified.
What input formats are accepted?
Usernames (BotFather), @handles (@telegram), short URLs (t.me/telegram), and full URLs (https://t.me/telegram). All are normalized automatically.
What is the batch size limit?
Minimum 5 targets, maximum 10,000 targets per run. Targets are processed in parallel batches.
Can I extract private entity data?
No. Only publicly accessible metadata is extracted. Private entities, restricted accounts, and hidden profiles return limited data based on privacy settings.
Are deleted accounts detected?
Yes. The is_deleted field flags deleted user accounts. Scam and fake markers are also returned when available.
SEO Keywords & Search Terms
Primary Keywords
Telegram entity extraction API, Telegram profile scraper, Telegram metadata API, Telegram channel analytics, Telegram group intelligence, Telegram bot data extraction
Long-Tail Keywords
extract Telegram entity metadata structured JSON, Telegram user verification batch API, Telegram channel member count extraction, Telegram group analytics pipeline, Telegram entity intelligence 40 fields scam detection premium flag, batch Telegram lookup 10000 targets KYC verification, Telegram user bot group channel classification API, Telegram profile extraction membership analytics abuse monitoring
Industry Terms
entity verification, community intelligence, profile enrichment, contact discovery, audience research, network mapping, social graph analysis
Trust & Certifications
- ✅ Enterprise Ready - Processing 10,000+ entities per run with 99.9% uptime
- ✅ GDPR Compliant - EU data protection standards
- ✅ 40+ Data Fields - Comprehensive entity intelligence across all Telegram types
- ✅ Regular Updates - Continuous maintenance for platform changes
Legal & Compliance
Data Rights & Usage
All data extracted by this actor originates from publicly accessible Telegram entity profiles. Users are responsible for ensuring their use complies with applicable laws and Telegram'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 Telegram's Terms of Service regarding data usage. This tool accesses only publicly available metadata.
Enterprise Support
For enterprise licensing, custom integrations, or compliance inquiries:
- Telegram: @AiAgentApi
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Support & Community
- 👥 Community: @Apify_Actor
- 👤 Contact Team: @AiAgentApi
Last Updated: April 21, 2026