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How to Parse Telegram Groups for Massive Lead Generation (Without Coding)

April 30, 2025

Yellow Flower
Yellow Flower
Yellow Flower

Telegram group parsing is one of the most powerful — yet underutilized — lead generation strategies for Web3, crypto, and tech businesses. While your competitors are manually hunting for prospects one by one, smart companies are using group parsing to extract hundreds of qualified leads from relevant communities in minutes.

The problem? Most tutorials teach you complex Python coding with libraries like Telethon and Pyrogram. But there's a much simpler way that doesn't require any technical skills.

The solution? CRMChat's built-in Telegram Group Parser transforms what used to be a complex coding project into a simple point-and-click process that anyone can master.

What Is Telegram Group Parsing (And Why It's a Game-Changer)

Telegram group parsing automatically extracts member data from public Telegram groups and channels. Instead of manually browsing through group member lists, parsing tools collect:

  • User profiles: Names, usernames, bios, and profile photos

  • Contact information: Telegram handles and user IDs

  • Group context: Which specific communities they're active in

Why this matters:

  • Access to highly targeted prospects already engaged in your industry

  • Massive time savings compared to manual prospecting

  • Data you can immediately import into your CRM and outreach campaigns

  • Ability to scale lead generation from dozens to thousands of prospects

The CRMChat Advantage: Group Parsing Made Simple

Forget about learning Python or dealing with complex API configurations. CRMChat's Group Parser transforms the entire process into three simple steps:

1. Find Target Groups

Use CRMChat's free Group Finder tool to discover relevant communities, or search manually within Telegram for groups where your prospects gather.

2. Parse With One Click

Simply paste the group link into CRMChat's Group Parser and let the system do the work.

3. Import Qualified Leads

Receive a clean spreadsheet with all member data, ready to import into your outreach campaigns.

The result: What used to take days of coding and technical setup now takes minutes with a simple web interface.

Finding the Right Groups to Parse

Method 1: Direct Telegram Search

  1. Use Telegram's search bar to find groups by name or keyword

  2. Search for conference names like "ETH Denver 2024" or "Web3 Summit"

  3. Look for industry terms like "DeFi Builders" or "Crypto Founders"

  4. Verify the group is public by checking that member lists are visible

  5. Copy the group's public link for parsing

Method 2: CRMChat's Group Finder Tool

  1. Visit the Group Finder tool on CRMChat's website

  2. Enter your target keywords (e.g., "Crypto," "Marketing," "Web3")

  3. Provide your Telegram username for delivery

  4. Submit and receive a curated list of relevant groups

What Groups Can Be Successfully Parsed

✅ Groups You Can Parse:

  • Public groups with visible member lists

  • Communities where commenting is enabled

  • Groups you're already a member of

❌ Groups You Cannot Parse:

  • Private groups with hidden member lists

  • Groups with disabled member visibility

  • Channels with subscriber privacy enabled

Using CRMChat's Group Parser: Step-by-Step

Simple 3-Step Process

  1. Navigate to Outreach → Group Parser in CRMChat

  2. Paste the Telegram group link into the input field

  3. Submit the request (processing takes up to 24 hours)

CRMChat will send you a comprehensive spreadsheet containing full names, usernames, user IDs, and group context—all ready for outreach.

Data Cleaning: From Raw Data to Ready Prospects

Raw parsing data needs cleaning before it's useful for outreach. The goal is extracting valid first names while removing unusable entries.

The First Name Challenge

Not all Telegram users have real first names. You might find usernames, symbols, or single letters instead of "John Smith" or "Maria Rodriguez."

Cleaning Options

For Small Lists (Under 500):

  1. Use Excel's "Text to Columns" to split full names

  2. Manually review and delete non-name entries

  3. Keep only confident first names for personalization

For Large Lists (500+): Use AI tools like GPT for Excel with this prompt: "Extract the first name from [NAME]. Return only real names. If no valid name exists, return 'N/A'."

Final Steps

Create a CSV with: User ID, Username, First Name, and Group Source. Remove duplicates and verify data quality before importing.

Importing Into CRMChat and Launching Campaigns

  1. Navigate to Outreach → Sequences

  2. Upload your cleaned CSV file

  3. Map username and first name columns

  4. Create personalized message templates

  5. Launch your automated outreach sequence

Your parsed data immediately integrates with CRMChat's pipeline management, team collaboration, and performance analytics.

Compliance and Ethics

What's Allowed

  • Parsing public group data

  • Using official APIs and approved tools

  • Collecting data for legitimate business purposes

What's Prohibited

  • Scraping private group data

  • Using data for spam or bulk messaging

  • Violating user privacy expectations

Best Practices

  1. Be transparent about how you found prospects

  2. Provide easy opt-out options

  3. Use data only for stated business purposes

  4. Secure and protect collected information

Measuring Success

Track these key metrics:

  • Response rates from parsed prospects vs. other sources

  • Conversion rates to meetings or demos

  • Time saved compared to manual prospecting

  • Cost per lead including tools and time investment

Your Group Parsing Action Plan

Week 1: Setup and Research

  • Identify 10-15 target groups

  • Set up CRMChat and familiarize yourself with Group Parser

  • Plan your data cleaning workflow

Week 2: First Campaign

  • Parse 3-5 groups to test the process

  • Clean data and import test list into CRMChat

  • Send 10-20 test messages to validate approach

Week 3: Scale

  • Parse remaining target groups

  • Implement AI-powered cleaning for larger lists

  • Launch first automated outreach sequence

Week 4: Optimize

  • Analyze response rates and lead quality

  • Identify highest-performing groups

  • Refine processes and plan expansion

Transform Your Prospecting Today

Telegram group parsing isn't just a technical trick—it's a competitive advantage that can transform your entire lead generation strategy. CRMChat's Group Parser makes this process accessible to anyone, regardless of technical background.

Ready to 10x your prospect database? Start with CRMChat's free Group Finder tool and experience how modern group parsing can revolutionize your outreach efforts.

Stop manually hunting for prospects in Telegram groups. With CRMChat's Group Parser, you can extract hundreds of qualified leads in minutes, then immediately launch personalized outreach campaigns that convert. Your competitors are still doing this manually—you'll be building an automated lead generation machine.

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