Database parsing

Hello.
I have experience in collecting and processing large databases of Telegram channels. I can implement parsing with filtering by subscribers, activity, and the presence of comments. I will provide the result in a structured Excel/Google Sheets format according to the requirements.

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Good day! I have reviewed the task — it will be implemented.
I will create a parser in Python using Telethon that will collect channels based on specified topics with filtering by language, number of subscribers, and activity. All mandatory fields — name, username, subscribers, topic, language, date of the last post — will be saved in Excel or Google Sheets.
15,000 rows considering all filters is a realistic volume. Please clarify — is a one-time sample needed or regular database updates? I am ready to get started.

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Hello! The task is clear. I have experience parsing Telegram channels through the official API (Telethon/Pyrogram), so I will gather the database quickly and without the risk of missing criteria. Could you please let me know if the collection is planned based on your prepared list of geo-locations/keywords, or should I search for channels myself based on the specified topics?

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Good day!

I will collect a database of Telegram channels according to your criteria — 15,000+ entries in Excel. I am engaged in parsing Telegram, and the task is clear.

For each channel in the table: name, username/link, number of subscribers, theme, language (RU/UA/MIX), date and time of the last post. With filtering according to your conditions: ≥500 subscribers, last post ≤32 hours, open comments (through a group or embedded), required themes (war, news, politics, trash, sports, cars, crypto, fishing, etc.).

Honestly, on one point, to align expectations: 15,000+ channels is a large volume, and there is no global catalog in Telegram, so I collect them through searches by keywords/themes + related channels (similar/recommended), with delays to avoid flood limits on sessions. The volume is realistic, but it is gathered in batches, not instantly. I check for activity (≤32 hours) and open comments automatically during collection.

It would be convenient to start with a test batch (~300-500 channels) so you can evaluate the format and quality of filtering, and then complete up to 15k. I would be happy to discuss the details in private.

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Hello, I will do it quickly, feel free to contact me.

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Good day, Vika!
Overall, the task is clear, but for an accurate response regarding deadlines and pricing, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages – we will discuss the details and your wishes.

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Has experience in gathering information from various sources (including YouTube)

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Hello! I understood the task: it is necessary to compile a database of Telegram channels according to the specified criteria (at least 500 subscribers, activity within 32 hours, open comments, topics — war, news, politics, etc.) and export the data to Google Sheets or Excel. My approach: I will use parsing through the Telegram API, filtering channels by language (RU, UA, MIX), number of subscribers, and time of the last post. I will collect the mandatory fields: name, username, number of subscribers, topic, language, and date of the last post. I guarantee at least 15,000 rows in a clean .xlsx file. Please clarify if there are specific requirements for the distribution by topics or languages?

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Good day!

I professionally engage in parsing and data automation. I am ready to implement the collection of a database of Telegram channels according to the specifications. I have experience working with the Telegram API, large volumes of data, exporting to Google Sheets/Excel, and proxies.

Message me privately, and we will clarify the details.

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Hello! I have experience in data parsing. You can view my work in the portfolio. I offer a loyal price and quality work. Feel free to write to me.)

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Good day. I am ready to complete the task. For some clarifications, please write in private messages.

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Good day. I previously worked on data collection in Excel files. I am ready to complete the task quickly. I would appreciate the opportunity to collaborate.

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I am a NodeJS developer. I am ready to take on this task. Write to me, we will discuss.

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Hello! I will complete your task quickly and efficiently.

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Message me, I will start working today. I will be glad to collaborate with you!

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Good day!

I am interested in your project. I have experience in collecting and structuring large datasets from open sources, including Telegram channels, social networks, and thematic directories.

I can create a database of Telegram channels according to your criteria: content language (RU/UA/MIX), a minimum of 500 subscribers, activity (the last post no later than 32 hours ago), presence of open comments, as well as thematic classification (news, politics, crypto, sports, cars, trash, etc.).

For data collection, I use open analytical directories for Telegram (like TGstat/analogues), manual verification of channels, as well as additional validation of activity and comments. All data will be cleaned of duplicates and structured in Google Sheets or Excel in the required format.

The result will include:
… • channel name;
• username/link;
• number of subscribers;
• theme;
• content language;
• date and time of the last post.

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