Telegram Scraper – Group, Channel Member Scraper
Pricing
from $10.00 / 1,000 results
Telegram Scraper – Group, Channel Member Scraper
Telegram scraper for extracting available members from groups and channels. Get User IDs, usernames, names and access hashes with no Telegram login required. Scrape Telegram group and channel members with a Telegram Member Scraper.
Pricing
from $10.00 / 1,000 results
Rating
5.0
(2)
Developer
bhansalisoft
Maintained by CommunityActor stats
38
Bookmarked
3K
Total users
65
Monthly active users
4 days ago
Last modified
Categories
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Telegram Scraper – Group, Channel & Member Extractor
A powerful Telegram scraper for extracting members and available user information from Telegram groups and channels. Use this Telegram group scraper and Telegram channel scraper to collect usernames, user IDs, names, access hashes, and other available profile data from Telegram communities.
Telegram Group Scraper & Channel Scraper
This Telegram scraper is designed for businesses, marketers, researchers, lead-generation teams, and developers who need structured Telegram data. Extract members from Telegram groups and channels using member lists, chat history, and comments when available.
Use it as a Telegram group member scraper to discover and export group members, or as a Telegram channel member scraper to collect available members from Telegram channels.
Key Features
- No Telegram Login Required – Scrap telegram group or channel member without login to Telegram. No login required
- Telegram Scraper – Extract available Telegram user and member data into structured datasets.
- Telegram Group Scraper – Scrape available members from Telegram groups and communities.
- Telegram Channel Scraper – Extract available members from Telegram channels.
- Telegram Member Scraper – Collect user IDs, usernames, first names, last names, and access hashes.
- Telegram Group Member Scraper – Discover members through member lists, chat history, and comments.
- Telegram Channel Member Scraper – Extract available channel members and user information.
- Telegram Member Extractor – Export unique Telegram profiles into structured JSON, CSV, Excel, HTML, or XML data.
- Hidden Member Discovery – Discover additional available users from chat history and comments when they are not visible in the standard member list.
- Structured Data Export – Download your Telegram scraping results through the Apify Dataset in multiple formats.
- Rate-Limited Scraping – Built-in delays help control scraping speed and reduce unnecessary requests.
What Data Can You Extract?
Depending on Telegram availability and the target community, the scraper can return:
- Telegram user ID
- Username
- First name
- Last name
- Access hash
- Members discovered from chat history
- Members discovered from comments
- Unique user profiles
The extracted data is returned in a clean structure suitable for data analysis, lead generation, research, and automation workflows.
Multiple Export Formats
Apify allows you to export your Dataset as:
- JSON
- CSV
- Excel (XLSX)
- XML
- HTML
🎥 Video Demo
Telegram Scraper Demo or Telegram Group Scraper or Telegram Channel Scraper Demo
Watch the Actor demonstration:
🚀 How to Use the Telegram Scraper
Step 1 — Click "Try for Free"
Open the Actor on Apify and select the Input tab.
Step 2 — Enter Your Telegram Target
Enter a supported Telegram group or channel.
Example:
https://t.me/+VTItdzrudoU2YTM0
or:
https://t.me/bhansalisoft_apify
Step 3 — Configure Delay
Example input:
{"Target_Group": "https://t.me/bhansalisoft_apify","Delay": 10}
Step 4 — Start the Actor
Click Start and wait for the Actor run to complete.
Your results will be available in the Apify Dataset.
⚙️ Input Parameters
| Parameter | Description |
|---|---|
Target_Group | Telegram group or channel target |
Delay | Delay between scraping operations |
📦 Output Data
Example:
[{"user_id": 7755682993,"user_name": "Thomas_TDM","access_hash": 7499266519705567000,"first_name": "Thomas","last_name": "TDM"},{"user_id": 7158369980,"user_name": "ReubenTDM","access_hash": 6848219424735481000,"first_name": "Reuben","last_name": "TDM"}]
Who Can Use This Telegram Scraper?
This tool is useful for Telegram lead generation, community research, audience analysis, competitor research, marketing, data collection, and automation. Developers can also connect the Actor through the Apify API and use the extracted Telegram data in their own applications and workflows.
Telegram Member Data for Automation
The scraper provides structured Telegram member information that can be processed with APIs, databases, spreadsheets, analytics platforms, and other automation systems. Access hashes are included when available for supported Telegram users.
Frequently Asked Questions
What is a Telegram scraper?
A Telegram scraper is a data extraction tool that collects available information from Telegram groups, channels, messages, or member profiles and converts it into structured data.
Can this scrape Telegram group members?
Yes. The Actor can extract available Telegram group members using member lists, chat history, and comments.
Can this scrape Telegram channel members?
Yes. It can extract available members from Telegram channels and discover users through available channel activity.
What format can I export?
You can export the resulting dataset through Apify in formats including JSON, CSV, Excel, HTML, and XML.
Does it require Telegram login?
The current Actor is designed to work without requiring a Telegram login for its supported scraping workflow.
🧰 Related Telegram Tools
- Telegram Member Adder
- Telegram Group or Channel Adder
- Telegram Bulk Message Sender
- Telegram Group Member Scraper
- Telegram Group Message Scraper
⚠️ Responsible Use
Only collect and process Telegram data that you are authorized to access and use. Ensure your workflows comply with applicable privacy laws, Telegram requirements, and the rules governing the data you collect.
💬 Support
For technical support or questions, contact:
https://t.me/bhansalisoft_apify
🚀 Get Started
Enter your target Telegram group or channel, configure the input, and start the Actor to create a structured dataset ready for analysis, export, or API integration.