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  • Rating 164

Budget: 10500 UAH Deadline: 6 days

Good day, Ruslan!

You asked for an explanation of the method — I will explain specifically, without general words.

The collection goes in three stages, all scripted:

1) SEARCH FOR CANDIDATES. Catalogs of groups (tgstat, telemetr, lyzem, combot) + searching Telegram itself using keywords from each of your categories in English and major languages. The output is a raw list of links, usually several thousand.

2) FILTERING ACCORDING TO YOUR RULES. Through the Telegram API (Telethon), the script checks for each group: whether it is a supergroup/chat, not a channel; when the last message was sent; how many different authors have posted in the last day; the number of participants. The check for different authors filters out what looks live but is actually bot spam or an advertising feed from a single account.

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  • Rating 278

Budget: 5000 UAH Deadline: 2 days

You need a database of 1,000 or more active Telegram investment, crypto and trading groups, delivered in one Google Sheet. I can build this with Python instead of manual browsing. I would find community chats across the categories you listed, then filter each one against your rules: recent messages, several people posting, real discussion rather than ads or bots, and no spam, scam or Russian-market groups. Every qualified group gets its name, link, category and member count in the table format you described. I will not pad the list with inactive or irrelevant chats. Before scaling up, I can send an early sample so you can confirm the direction. If that works for you, I am ready to start.

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  • Rating 196

Budget: 2400 UAH Deadline: 21 days

i already have an almost ready Telegram discovery and qualification system that can be adapted and launched quickly, and i am online to discuss it now (:

i would collect candidates through the Telegram API and public discovery sources, expand the pool through related group links, then automatically remove duplicates and evaluate recent activity, participant diversity, topic relevance, advertising density, and scam signals.

should the sheet include only English-language groups or all non-Russian-market communities?

is there a minimum member count, or should activity and discussion quality remain the main threshold?

https://business.ingello.com/en/fractal - a relevant automation case using repeatable agent processes and quality checks

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  • Rating 3 074

Budget: 5000 UAH Deadline: 3 days

Good day!
The task is clear!
I have relevant experience!
Feel free to contact me!!

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  • Rating 555

Budget: 3600 UAH Deadline: 3 days

How do you plan to check activity at the time of selection, that is, is a one-time snapshot needed on the submission date, or should the table also undergo a re-check a few days before the final submission?

I will collect data through the Telegram API (Telethon), searching for keywords crypto, trading, macro, Polymarket in directories and join links, then the script checks the number of participants, the time of the last messages, and the number of unique authors in the last hours to filter out bots and promotional chats. The filtered groups will be categorized and exported to Google Sheets with the necessary columns.

I am ready to show the first 100-150 rows in 3 days for quality assessment, with a total volume of 1000+ thereafter.

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  • Rating 385

Budget: 5000 UAH Deadline: 14 days

Ruslan, the part about filtering by recent activity in the last few hours and requiring multiple active participants (not just one poster or bot spam) is the tricky bit here, and it needs to be checked live, not from a static list.

My plan: build a Telegram scraping pipeline with the Telegram API (Telethon/GramJS), pull candidate groups from public directories, catalog sites and Telegram search by keyword clusters for each category (crypto, trading, macro, stocks, bonds, Polymarket, signals, research). For each candidate the script joins or reads public info, checks last message timestamp, counts distinct posters in a recent window, and flags groups with only ads or single-account activity for exclusion. Russian-market groups get filtered out by language and title/description keyword detection with a manual spot check. Verified groups get written straight into a Google Sheet with the four required columns through the Sheets API, with dedupe on link.

I can deliver the full qualified list within 14 days.

One question: for category tagging, should a group that clearly fits two categories (say crypto news and signals) get one primary label or should I list both?

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