• Projects 4
  • Rating 5.0
  • Rating 1 189

Budget: 2500 UAH Deadline: 4 days

Hi Ruslan,

I build Telegram automation in Python (MTProto), so the parsing side is what I do daily. Rather than promise, here is how I would actually run this.

Discovery: keyword sweeps over Telegram global search across your eleven categories, plus public group indexes, plus graph-walking — each group I find gets its linked channel checked, and that channel's own discussion group too. All deduped by internal chat id, not by title, so renamed groups do not slip in twice.

Activity and quality filter, scripted rather than eyeballed: I pull the recent message window per candidate, count unique posters and real replies, measure the share of forwards and ad posts, and drop dead groups, ad boards and the usual scam patterns. Language and market detection runs at this step, so Russian-market groups never reach the sheet.

Contacts: for each surviving group I pull the admin list over MTProto (owner, admin, moderator, with display names), then top it up from the group bio, pinned posts and the official project channel to catch community managers and team accounts. Only accounts with a visible role and a public handle stay. No roleless members, no bots, no duplicates.

  • Projects 5
  • Rating 5.0
  • Rating 1 054

Budget: 3000 UAH Deadline: 7 days

I can start immediately. On day 1, I'll deliver the Google Sheet structure and a first verified slice. I'll use an automated public-group research pipeline to collect, normalize, deduplicate, and filter candidates, then verify recent activity, relevance, and visible role evidence for every contact. The final sheet will contain 1,000+ qualified active groups, with each group's contacts kept together. Full delivery: 7 days, 3,000 UAH.

  • Projects 33
  • Rating 5.0
  • Rating 1 745

Budget: 700 UAH Deadline: 1 day

Hello! I am ready to efficiently complete this task.

I will manually find active Telegram groups on investments/crypto/trading (not channels), check the level of activity (recent messages, participant engagement), and compile a structured list that includes:

- Group name and link
- Approximate number of participants
- Level of activity (messages per day)
- Username of the admin/moderator and contacts where available publicly

I will provide the results in a convenient table (Google Sheets or Excel), with sorting capabilities, ready for use. I am willing to start with a small test batch (for example, 10-15 groups) so you can assess the quality before scaling, and I can determine the actual cost of such work.

  • Projects 6
  • Rating 3.9
  • Rating 776

Budget: 3000 UAH Deadline: 5 days

Ruslan, I see that you need a database of active Telegram communities with contacts of administrators to reach the target audience in the investment and crypto niche. I understand the importance of filtering for live groups where active discussions are taking place, rather than spam channels.

I will find suitable communities based on your criteria, check them for discussion activity, and extract the contacts of owners and moderators into a structured file. You will receive the results in the form of a table with group names, links, and contact details of responsible persons.

What should be the minimum activity threshold (number of messages per day or number of participants) for selecting a group for the list?

  • Projects 106
  • Rating 5.0
  • Rating 21 402

Budget: 27000 UAH Deadline: 10 days

You are interested in collecting contact information of administrators and moderators of active investment and cryptocurrency groups on Telegram. I can develop a bot in Python that will automatically gather such data from open groups and channels. I can also offer to create a system for further management of the collected information. My rate is $15/hour.

If you need additional details, let me know.

  • Projects -
  • Rating -
  • Rating 424

Budget: 20000 UAH Deadline: 7 days

I can build this as a semi-automated Telegram research pipeline, not just manual browsing.

I’d split it into two stages: first collect candidate groups from Telegram search, public links, related channels/websites and crypto/trading directories, then filter them by activity, language/region, topic relevance and spam/ad ratio. After that I’d extract only visible role-based contacts from admin lists, group bio, pinned messages and recent messages with admin/moderator labels.

The key point is not to scrape random members: each contact should have a visible reason for inclusion, and the output can be kept grouped by Telegram group in one Google Sheet with your required columns.

Before starting, I’d clarify one thing: do you already have seed sources/keywords for the first group discovery pass, or should I build the seed list from scratch?

  • Projects -
  • Rating -
  • Rating 555

Budget: 3600 UAH Deadline: 3 days

Task for automated parsing: collecting groups on crypto/trading/investment topics through the Telegram API (Telethon), filtering by the activity of recent messages and identifying admins/moderators through the list of participants, pinned messages, and signatures in the chat, with export to Google Sheets in the required column structure.

Russian-speaking and RF-oriented groups will be filtered out at the filtering stage. I am ready to deliver the first cut (table structure and part of the groups) in approximately 3 days.

Question: are there any language requirements for the groups (only English-speaking or can there be others, except for Russian)?

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