Observed Signal · Jul 16, 2026 · Technical Guide · Source: DEV Community · Impact: 1/5 · Sentiment: Neutral
How to Export Telegram Group Members and Media
This technical how-to explains practical ways to export member lists and bulk media from Telegram groups and channels. It contrasts Telegram Desktop's full-account export with API-based approaches that use MTProto to page participants and download media with preserved metadata. The author recommends using libraries (e.g., GramJS, Telethon) or a commercial extension (Mastros) in API mode with your api_id/api_hash from my.telegram.org, and warns about respecting Telegram rate limits (FLOOD_WAIT) and only exporting data your account can access. Output formats suggested include JSONL for large lists and CSV for spreadsheet use.
Practical technical guide for exporting community/member and media data from a chat platform; useful for community managers and MarTech workflows but not industry-shifting.
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Key Takeaways & Evidence Grounding
- Telegram Desktop's Export (Settings → Advanced → Export Telegram data) produces a full account archive (JSON or HTML) and is not optimized for targeted per-group exports.
- Telegram exposes participant lists via its client API (MTProto); tools speaking MTProto can page through participants and return name, username, id, and role.
- GramJS and Telethon are cited as code libraries that can page participants in a few lines of code; no-code browser extensions can perform the same paging using a user's API credentials.
- API mode (using api_id and api_hash from my.telegram.org) enables full member lists, mutual groups, and bulk media downloads, whereas Web mode is limited to the rendered page/DOM.
- Bulk media downloaders must preserve sender/timestamp/chat metadata and implement backoff to avoid Telegram's FLOOD_WAIT throttling.
Connected Companies & Entities
2 Entities mapped“Telegram exposes it through the client API, so anything speaking MTProto can page through participants and hand you name, username, id, and ...”
“I wrote up the WhatsApp equivalent in a separate post, since WhatsApp gives you a lot less to work with....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Export WhatsApp Web Group Members and Chats to CSV
A practical how-to showing ways to export visible WhatsApp Web data (group members, loaded messages, recent contacts) into CSV or JSON without using the official API. The article explains built-in Export chat (TXT), the WhatsApp Business Cloud API (enterprise-level, requires Meta developer account and setup), and a pragmatic browser-extension approach that reads the rendered DOM client-side. It highlights limits: you can only export data that WhatsApp shows (no hidden phone numbers, deleted messages, or chats you are not in) and gives usage tips (scroll to load history, use JSONL for large exports, respect GDPR). The author mentions a Chrome extension called Mastros that runs client-side and offers CSV/JSON/JSONL exports.
Fastest Way to Build a Native Telegram Bot
This technical how-to explains a zero-dependency approach to building Telegram bots natively using Python and HTTP requests. It shows basic patterns for polling (getUpdates), sending messages (sendMessage), and configuring webhooks (setWebhook), and includes runnable code snippets for synchronous (requests) and asynchronous (httpx) messaging. The author covers performance and scaling considerations — recommending webhooks over long polling, async HTTP clients for high throughput, a message-queue worker to respect Telegram's 30 messages/second per-bot rate limit, and Redis for state. Local testing with ngrok and production deployment options (AWS Lambda + API Gateway) are provided. The post also mentions advanced features like inline keyboards, file uploads, and monitoring via getWebhookInfo, and contains a paid author resource linked at the end.
Threads tests Gems to honor valuable posts daily
Threads is testing a new feature called Gems, which awards up to 25 outstanding conversations daily with a visible diamond badge. The selection is algorithm-based, focusing on originality, timeliness, and authentic discussion, regardless of follower count. Posts or direct replies qualify, but reposts and content cross-posted from Instagram are excluded. The feature is currently limited to public US-based accounts of users aged 18 and older, though the badges are visible globally, including in Germany. Recipients get a notification and can share the badge. Users can hide the label if desired. Initial hints appeared in August via app researcher Alessandro Paluzzi. Threads aims to encourage original and engaging content, with no negative impact on reach for non-recipients.
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