🔎 Telegram Keyword Search Scraper

🚀 Search public Telegram channels by keyword and export every matching message in seconds. In our test, two keywords returned 1,000 matching messages from 22 channels in 97 seconds, each with views, reactions, media and channel stats. No Telegram account, no API key, no phone number.

This Actor works in two steps. First it discovers public Telegram channels that talk about your keyword, using a web search restricted to t.me (about 20 relevant channels per keyword). Then it runs Telegram's own search inside every one of those channels, plus any channels you add yourself, and returns the messages Telegram says match. Every row is a real message that matches your keyword, with the matched word highlighted in matchedTerms, not just the newest post of a page that happened to mention it.

Every row has 36 fields: the message (text, date, views, total reactions and the per-emoji breakdown, type, author signature, edited flag, forward source, reply link, link preview, links, hashtags, photo, video and document lists), the channel (title, username, numeric ID, subscribers, verified badge, bio, avatar) and how it was found (keyword, discovery or your list, Telegram search or history scan). Telegram's search returns the newest 22 matches per channel and keyword; switch on Deep search to also scan each channel's history and reach older matches.

🎯 Target Audience	💡 Primary Use Cases
Brand and reputation teams	Find every Telegram post that mentions your brand, product or executives
Crypto and fintech analysts	Track tickers, projects and airdrops across the channels that move the market
OSINT and threat intelligence	Monitor keywords, leaks and campaigns across public channels
Journalists and researchers	Trace how a story or claim spreads between Telegram channels
Recruiters and job boards	Collect job posts for a role or skill from remote-work channels
Marketing and growth teams	Discover the channels where your topic lives and measure their reach

📋 What the Telegram Keyword Search Scraper does

1. Takes one or more keywords, phrases ("spot etf" in quotes for the exact phrase) or hashtags (#airdrop).
2. Discovers public channels that talk about each keyword, through a web search restricted to t.me, in the language and country you choose, optionally limited to recently active pages.
3. Adds the channels you list yourself (cointelegraph, @durov or https://t.me/s/telegram), or searches only those when discovery is off.
4. Runs Telegram's own search inside every channel and keeps the messages it returns, newest first, with the matched words.
5. With Deep search, also reads each channel's history and matches your keyword on older messages, up to the scan depth you set.
6. Applies your filters (date window, minimum views, media only, exact words only) and writes one row per message, deduplicated across keywords and channels.
7. Skips bots, private chats and names that do not exist, and says so in the log.

💡 Why it matters: Telegram has no public global search, and most "keyword" scrapers only return whatever post happens to sit on a page Google indexed. This Actor asks Telegram itself which messages match, channel by channel, so the export is the conversation about your keyword and nothing else.

🎬 Full Demo (🚧 Coming soon)

📊 Output

Each dataset row is one public Telegram message. 36 columns per row.

Field	Type	Description
🖼 imageUrl	string	First photo or video thumbnail of the message, or the channel avatar
📢 channelTitle	string	Channel display name
🔗 url	string	Direct link to the message
🆔 messageId	integer	Message number inside the channel
👤 channel	string	Channel username
🔢 channelId	string	Telegram's numeric channel ID
🔎 keyword	string	Keyword that found the message (N/A for plain channel exports)
💬 text	string	Full message text, emoji included
📅 date	string	Publication date and time, ISO 8601 UTC
👁 views	integer	View count
❤️ totalReactions	integer	Sum of all reactions
🧩 messageType	string	text, photo, video, document, voice, poll, link, or a combination such as photo+video
📎 hasMedia	string	Yes when the message carries a photo, video, document or voice note
✍️ author	string	Author signature, when the channel signs its posts
✏️ edited	string	Yes when the message was edited
↪️ forwardedFrom	string	Source channel or user of a forwarded message
🔗 forwardedFromUrl	string	Link to the original message
💭 replyToUrl	string	Link to the message this one replies to
🌐 linkPreviewUrl	string	URL of the link preview card
📰 linkPreviewTitle	string	Title of the link preview card
🔗 channelUrl	string	Channel link
👥 channelSubscribers	integer	Channel subscribers
✅ channelVerified	string	Yes when Telegram shows the verified badge
📝 channelDescription	string	Channel bio
🖼 channelAvatarUrl	string	Channel avatar
🛰 discoveredVia	string	Channel discovery or Your channel list
🎯 matchSource	string	Telegram search, History scan (deep search) or Channel history (no keyword)
🔦 matchedTerms	array	Words Telegram highlighted as the match
😍 reactions	array	Each reaction emoji with its count
#️⃣ hashtags	array	Hashtags in the text
🔗 links	array	Links in the text
📷 photoUrls	array	Photo URLs
🎬 videoUrls	array	Video file URLs
📄 documents	array	Attached file names with size
🕒 scrapedAt	string	When the row was collected
❌ error	string	Error message, null on a normal row

Empty text values read N/A and empty lists are [], so no column is ever null except error.

Real sample records

{
  "imageUrl": "https://cdn1.telesco.pe/file/F9FPaAldijI4S7i5Fp9MA6HV_XKBCq3fyEVJaYNqfy8qmtTzC505eLMdulFRtWJsXJ3fVUGzlbg3FlUjIVhpIU_qLY3YTWxf-vr2P03PuAmj5L1yAHlTV6qwo-0aF9iyC-L9Q0bJg7pqMsjeJpRH7qR901AKXuZhe_ollTM6l68PUwqq2NRa-J02ABLuiLRbvYw171fUPmmW7ZOxKPfO_iAuvfNGoF3BnbQbckDEPz_nElhGz-QJNt4pPWKH1uPqix_pmFVEKeRocliZgrOrFO4h8pc3gCes5GCdJTAD6HwIpooiII2FrcTVzp4wMsktg4KaqfaTtsxa0jPU0AyuHw.jpg",
  "channelTitle": "Bitcoin",
  "url": "https://t.me/bitcoin/20413",
  "messageId": 20413,
  "channel": "bitcoin",
  "channelId": "1193342710",
  "keyword": "bitcoin",
  "text": "JUST IN: 🟠 $172 billion WisdomTree says Bitcoin \"is working exactly as intended\" 👀\n\n\"Bitcoin was built for economic uncertainty...it has traded through a war, an oil shock and a rate rise, and rallied 46% since July.\" 🚀\n\nSource: https://x.com/BitcoinMagazine/status/2103542531892080716",
  "date": "2026-09-25T19:19:59+00:00",
  "views": 1270,
  "totalReactions": 18,
  "messageType": "photo",
  "hasMedia": "Yes",
  "author": "N/A",
  "edited": "No",
  "forwardedFrom": "N/A",
  "forwardedFromUrl": "N/A",
  "replyToUrl": "N/A",
  "linkPreviewUrl": "N/A",
  "linkPreviewTitle": "N/A",
  "channelUrl": "https://t.me/bitcoin",
  "channelSubscribers": 185000,
  "channelVerified": "No",
  "channelDescription": "This is the top Telegram channel for #Bitcoin news and information. Inject the orange coin directly into your mind! 🍊",
  "channelAvatarUrl": "https://cdn5.telesco.pe/file/KpRmCAmF2Vw7RHbkqY9KfPQDYk_9oQagc-FEb8fiejw6hiTl0I9iiJVxx5pHujtridbFawvatOHLVuk0ZooqQJeYRZrB7ZDHlebk3-2PFRJpwHzTPRvNz0mPwNXV-dWiJw4jSE8RmmGr1k4ZcfTSJWP3rBxVQLx5X9jiKjDr3-kqfbYfXac2DX9Ve1SR8D3RvdJBkDC8SaY8KF6IUiG9h-yFzQ5yo_HaNqUOhouhpXfjzpMzJOXPWdaI3GDkhLIo9SpBNdmUBm25beQvjB_N3uBGP4UWuHZJw-H6rhgd93ivftFHaDXBc4J7CcsgI8pMT_JkwYRgRJ5IxbwTrepuNg.jpg",
  "discoveredVia": "Channel discovery",
  "matchSource": "Telegram search",
  "matchedTerms": [
    "Bitcoin"
  ],
  "reactions": [
    {
      "emoji": "❤",
      "count": 12
    },
    {
      "emoji": "⚡",
      "count": 4
    },
    {
      "emoji": "👍",
      "count": 2
    }
  ],
  "hashtags": [],
  "links": [
    "https://x.com/BitcoinMagazine/status/2103542531892080716"
  ],
  "photoUrls": [
    "https://cdn1.telesco.pe/file/F9FPaAldijI4S7i5Fp9MA6HV_XKBCq3fyEVJaYNqfy8qmtTzC505eLMdulFRtWJsXJ3fVUGzlbg3FlUjIVhpIU_qLY3YTWxf-vr2P03PuAmj5L1yAHlTV6qwo-0aF9iyC-L9Q0bJg7pqMsjeJpRH7qR901AKXuZhe_ollTM6l68PUwqq2NRa-J02ABLuiLRbvYw171fUPmmW7ZOxKPfO_iAuvfNGoF3BnbQbckDEPz_nElhGz-QJNt4pPWKH1uPqix_pmFVEKeRocliZgrOrFO4h8pc3gCes5GCdJTAD6HwIpooiII2FrcTVzp4wMsktg4KaqfaTtsxa0jPU0AyuHw.jpg"
  ],
  "videoUrls": [],
  "documents": [],
  "scrapedAt": "2026-09-25T20:40:04.957Z",
  "error": null
}

{
  "imageUrl": "https://cdn4.telesco.pe/file/ghLsCiBwEglq67UuTAZ3UBDDSByaYTpaal4nnGujRSb_5P65COVV6fNiBQrDfOHh28MKcxeiRdxUo_U_OdgTq325TSEx2EjknJFsoPmBzSpkCbBcR_A6ZQ3A4-FC0JUL81NFx_Xy52wVKN0m-4u7BvfwkYxHgS4GFWLngOEhzsTlThnqQLCP2NFVI3smnKQz8-urbV5HNVy8_5W9vZDb1TyVnkCJHQlnqEYyTkTy0vCUaenY39fQ58CuAwZm7HVs3g4EgsK0hT46pKqVagBg0X0bwHOA8JHpYdgoBHWquWM_18XHR4ELzGYXnZK3ZX8l9eWZ2XrkszUcBdHz3AKssw.jpg",
  "channelTitle": "CNBCTV18.com",
  "url": "https://t.me/cnbc_tv18/48193",
  "messageId": 48193,
  "channel": "cnbc_tv18",
  "channelId": "1239146675",
  "keyword": "bitcoin",
  "text": "Bitcoin near $86,000 as crypto rally gains momentum: What investors should know\n\nhttps://www.cnbctv18.com/market/cryptocurrency/bitcoin-holds-near-sollar-86000-institutional-demand-supports-crypto-rally-19996357.htm",
  "date": "2026-09-23T06:31:56+00:00",
  "views": 1690,
  "totalReactions": 1,
  "messageType": "link",
  "hasMedia": "No",
  "author": "N/A",
  "edited": "No",
  "forwardedFrom": "N/A",
  "forwardedFromUrl": "N/A",
  "replyToUrl": "N/A",
  "linkPreviewUrl": "https://cnbctv18.com/market/cryptocurrency/bitcoin-holds-near-sollar-86000-institutional-demand-supports-crypto-rally-19996357.htm",
  "linkPreviewTitle": "Bitcoin near $86,000 as crypto rally gains momentum: What investors should know - CNBC TV18",
  "channelUrl": "https://t.me/cnbc_tv18",
  "channelSubscribers": 77500,
  "channelVerified": "Yes",
  "channelDescription": "The official Telegram channel for CNBCTV18.com\nYouTube: https://www.youtube.com/user/CNBCTV18\nFacebook: https://www.facebook.com/cnbctv18india\nTwitter: https://twitter.com/CNBCTV18News",
  "channelAvatarUrl": "https://cdn5.telesco.pe/file/IOgc8Tm4uKh2Z2fpEVaZFZQuTfwBL48MfiBvkoWWLXBx8Ax8hDvfefrCvf0njn7eJDo6K_89VKRUmZVlobNMX5lqOoAUUmAleUclmJEUcV2b7pBw-7sbvc9Yv03chmd6tPIPaAVUpn8ZnZ5lIByG8AOX7Lpn54lwEczwl2kJc6GwknkaaOjjce2Whowjqx1FHwnGkJfRC4iyxKFSuQIapkzoqpDmgAvruKAcEEp3liRGpaiEXh0zTL4Xr1g_dSSm2FyCjkLfz0kEK0N5xNErDNeWwNpn3i5QBONDQocoimUuaD9kSgBriaZKWQU5tPoBmfWVqzt2YuHnCFwQCpVFjQ.jpg",
  "discoveredVia": "Channel discovery",
  "matchSource": "Telegram search",
  "matchedTerms": [
    "Bitcoin"
  ],
  "reactions": [
    {
      "emoji": "❤",
      "count": 1
    }
  ],
  "hashtags": [],
  "links": [
    "https://www.cnbctv18.com/market/cryptocurrency/bitcoin-holds-near-sollar-86000-institutional-demand-supports-crypto-rally-19996357.htm"
  ],
  "photoUrls": [],
  "videoUrls": [],
  "documents": [],
  "scrapedAt": "2026-09-25T20:40:05.337Z",
  "error": null
}

{
  "imageUrl": "https://cdn4.telesco.pe/file/B9_Eqv2-8xFXWYuOgleaTDrldrd4aXiKjwaCR4Clof5Obl4QratFcFlXAf50VExEvkB7YIR8gi3gyla6E4clrLdmIzTtx--pnGjscPw3Og893x0SEUOREwvTYZo4xnp2Pld_Y8sNzE65aJMOhI30ysIjpUGU1jKSQJT--bq-K7fJgBBtNzVrqyE2AgpsqJ4Vm2tlNKjKoPsqujKt9jcZeOiKqqcpgZtC5NoPOtzWhAiACiZd5OFO-MJasC9xHw9D6ZSSpV65Ou3LKAGSN5a7W5oJGd6Q_y-m34Qx1hWiWBqiYCp6PfRfE1RN-E5P--2aRzSoFI5c7rBE9gAMg0kbdQ.jpg",
  "channelTitle": "Glassnode",
  "url": "https://t.me/glassnode/1982",
  "messageId": 1982,
  "channel": "glassnode",
  "channelId": "1370726192",
  "keyword": "bitcoin",
  "text": "Only 9 of the top 50 altcoins have beaten $BTC since its all-time high.\n\nZEC leads by a wide margin, up 14x against Bitcoin.\n\nHYPE, XMR and NEAR follow at 2–3x.",
  "date": "2026-09-24T08:00:50+00:00",
  "views": 2980,
  "totalReactions": 18,
  "messageType": "photo",
  "hasMedia": "Yes",
  "author": "N/A",
  "edited": "No",
  "forwardedFrom": "N/A",
  "forwardedFromUrl": "N/A",
  "replyToUrl": "N/A",
  "linkPreviewUrl": "N/A",
  "linkPreviewTitle": "N/A",
  "channelUrl": "https://t.me/glassnode",
  "channelSubscribers": 44200,
  "channelVerified": "No",
  "channelDescription": "Institutional Data and Market Intelligence for Digital Assets.\n\nhttps://studio.glassnode.com/",
  "channelAvatarUrl": "https://cdn4.telesco.pe/file/sI7A6aDSO37y6FgIEHiRT7BLkpTm3FhMXGK9cVxNjSM7DgvqbImeyOKvkAOw0ArCFFbcBf4tQgo3Is-7paVR2RTLpXXA5fMdDJTNjoC6dZS6ny9_ulPFEgfJAjV5MhJgGzIA3i_h3OE7IAeyV15U6PJk_39zkzzpGz4VJ_HZyv75v5fCEkiS2BOkCBO2ObSHr6q1gHsQq2LJ84NdqDnt4t3mfEaG6yBT3GLDcvSz13B74LsjEX1n66RgjK8lkgQUguLuxocYrOtIOrtmeiiDq1xdf3DT6BeUBs4XUCTkbJZsg2PBLzs9bawxeXmXW9_5P0cjnsBJLunY5khm9db8OA.jpg",
  "discoveredVia": "Channel discovery",
  "matchSource": "Telegram search",
  "matchedTerms": [
    "Bitcoin"
  ],
  "reactions": [
    {
      "emoji": "❤",
      "count": 14
    },
    {
      "emoji": "✍",
      "count": 3
    },
    {
      "emoji": "👎",
      "count": 1
    }
  ],
  "hashtags": [],
  "links": [],
  "photoUrls": [
    "https://cdn4.telesco.pe/file/B9_Eqv2-8xFXWYuOgleaTDrldrd4aXiKjwaCR4Clof5Obl4QratFcFlXAf50VExEvkB7YIR8gi3gyla6E4clrLdmIzTtx--pnGjscPw3Og893x0SEUOREwvTYZo4xnp2Pld_Y8sNzE65aJMOhI30ysIjpUGU1jKSQJT--bq-K7fJgBBtNzVrqyE2AgpsqJ4Vm2tlNKjKoPsqujKt9jcZeOiKqqcpgZtC5NoPOtzWhAiACiZd5OFO-MJasC9xHw9D6ZSSpV65Ou3LKAGSN5a7W5oJGd6Q_y-m34Qx1hWiWBqiYCp6PfRfE1RN-E5P--2aRzSoFI5c7rBE9gAMg0kbdQ.jpg"
  ],
  "videoUrls": [],
  "documents": [],
  "scrapedAt": "2026-09-25T20:40:05.080Z",
  "error": null
}

✨ Why choose this Actor

• Real keyword matches. Every row comes from Telegram's own search inside the channel, with the matched words in matchedTerms. No "newest post on a page that once mentioned your keyword".
• Discovery and your own list together. About 20 relevant channels found per keyword (for remote jobs: remotejobss, workewco, legitremotejobs, remotedevjobs and more), plus any channels you already follow.
• Deep search for older messages. Telegram's search stops at the newest 22 matches per channel. Deep search keeps reading the channel's history and matches your keyword on every older message, as far back as you set.
• Exact phrases and exact words. Put a keyword in quotes for the exact phrase. Switch on Exact words only when you do not want Telegram's word-form matching (staking also finds stake and unstaked).
• Channel context on every row. Subscribers, verified badge, bio, avatar and Telegram's numeric channel ID next to each message, ready for reach and influence scoring.
• Engagement you can sort by. Views, total reactions and the per-emoji breakdown, with a minimum-views filter to keep only posts that travelled.
• Media and links extracted. Photo and video URLs, document names with sizes, link preview cards, links and hashtags in their own columns.
• One Actor, no child runs. Discovery and search happen inside the same run; nothing else is started on your account.
• Fast and light. Plain HTTP, no browser: 1,000 messages in about a minute and a half in our test.

📈 How it compares to alternatives

	This Actor	Google-hit keyword scrapers	Searching by hand in the Telegram app
Requires a Telegram account or API key	No	No	Yes
Every returned message matches the keyword	Yes, Telegram's own search	No, newest post of each indexed page	Yes
Channels searched per keyword	About 20 discovered + your list	One page per search result	One channel at a time
Messages per channel and keyword	22 newest, more with deep search	1	Scroll
Exact phrase and exact-word modes	Yes	No	Partly
Channel subscribers, verified badge, bio on every row	Yes	Partly	Look them up
Per-emoji reactions, media, links, hashtags	Yes	Partly	Copy by hand
Extra child runs billed to you	None	A separate search Actor run	None

The Actor sees what any visitor to a channel's public web preview at t.me/s sees. Private channels, private groups, and chats without a public preview (bots and personal accounts) are not reachable. Telegram's search returns at most the 22 newest matches per channel and keyword; deep search goes further back by reading history, which takes one page load per 20 messages. Channel discovery relies on the channels a web search engine has indexed, so very small or brand-new channels may not be found; add them to Channels to search instead.

🚀 How to use

1. Create a free Apify account. New accounts include $5 of free platform credit, which is plenty to try this out: console.apify.com/sign-up
2. Open the Actor and go to the Input tab.
3. Type your Keywords, one per line. Use quotes for an exact phrase and # for a hashtag.
4. Set Max Items to the total number of messages you want.
5. Leave Discover channels automatically on, add channels you already know, or switch discovery off to search only your list.
6. Pick Deep search if you need matches older than the newest 22 per channel, and add a date window, minimum views or other filters.
7. Click Start, then open the Dataset tab and download as CSV, Excel, JSON or XML, or pull it from the API.

{
  "keywords": ["\"spot etf\"", "halving"],
  "channels": ["cointelegraph", "@glassnode"],
  "maxItems": 500,
  "searchDepth": "deep",
  "afterDate": "6 months"
}

💼 Business use cases

Brand and product monitoring

Search your brand, product names and executives every day. channelSubscribers and views show which mentions reached an audience, and forwardedFrom shows where a post started before it spread.

Crypto market intelligence

Follow tickers, token names and airdrop campaigns across the channels that trade on them. Views and reactions per message give an early read on hype, and date lets you line mentions up with price moves.

Threat intelligence and OSINT

Watch keywords such as your domain, product names, leak terms or campaign hashtags across public channels. Deep search with a date window gives a full timeline, and channelId stays stable even when a channel renames itself.

Recruiting and job aggregation

Search a role or skill ("react developer", "remote jobs") and collect job posts from the channels that publish them, with links, hashtags and posting dates ready for a job board or a sourcing sheet.

🔌 Automating Telegram Keyword Search Scraper

• Make and Zapier: run the Actor on a schedule and send new matching messages to a sheet, CRM or help desk.
• Slack: post every new mention of your brand with more than 1,000 views to a channel, using the minimum-views filter.
• Airbyte: sync datasets into Snowflake, BigQuery or Postgres to keep a history of mentions and channel reach.
• GitHub: schedule runs from Actions and keep versioned snapshots of the conversation about a topic.
• Google Drive: drop a CSV or Google Sheet into a shared folder after every run.
• API and webhooks: every run emits a dataset ID; subscribe to the run succeeded webhook and process the messages wherever you need them.

🌟 Beyond business use cases

• Research: study how news, rumours and narratives move through Telegram, by language and by channel size.
• Personal: follow a hobby, a local topic or a project across every public channel that talks about it, without joining them.
• Non-profit: document public calls, claims and campaigns on Telegram with direct links and timestamps.
• Experimentation: a clean, multilingual dataset of short texts with engagement numbers is a good playground for classification and trend models.

🤖 Ask an AI assistant about this scraper

Paste this into ChatGPT, Claude or any assistant to get help designing your run:

I am using the ParseForge Telegram Keyword Search Scraper on Apify. It takes keywords (quoted phrases and hashtags allowed), discovers public Telegram channels about each keyword and runs Telegram's own search inside each one, plus any channels I list. It returns one row per matching message with 36 fields, including url, channel, channelTitle, channelId, keyword, text, date, views, totalReactions, reactions, messageType, forwardedFrom, linkPreviewUrl, links, hashtags, photoUrls, videoUrls, channelSubscribers, channelVerified, matchedTerms and matchSource. It can search deeper into channel history, filter by date window, minimum views and media, and require exact words. Help me design a run to answer this question: [your question here].

❓ Frequently Asked Questions

🔐 Do I need a Telegram account, phone number or API key? No. The Actor reads the public web preview that Telegram serves to anyone at t.me/s. You never supply credentials.

🔎 Does every result really contain my keyword? Every result is a message Telegram's own search returns for your keyword in that channel. Telegram matches word forms (staking also finds stake and unstaked) and link text, so in our tests about one message in six did not show every word literally. Switch on Exact words only to keep only messages whose visible text contains every word, or quote the keyword for an exact phrase.

📚 How many messages can I get per keyword? Telegram's search returns the 22 newest matches per channel and keyword, and discovery finds about 20 channels per keyword, so a typical keyword yields a few hundred messages. Deep search reads each channel's history and returns older matches too, up to Max messages scanned per channel.

🛰 How are channels discovered? Through a web search restricted to t.me, in the language and country you pick, and optionally limited to pages active in the last day, week, month or year. Only channels whose search result mentions your keyword are kept. Small or new channels that are not indexed yet will not be found; list them in Channels to search.

📋 Can I search only my own channels? Yes. Add them to Channels to search and switch Discover channels automatically off.

📭 Can I export a channel without a keyword? Yes. Leave Keywords empty and list channels: the Actor exports their latest messages, newest first, up to Max results per channel.

📅 How does the date filter work? Use a date (YYYY-MM-DD) or a relative value such as 7 days, 3 months or 1 year. It applies to the message date. With deep search, the history scan stops as soon as it passes the start of your window.

🔒 Can it read private channels or groups? No. Only public channels with a web preview. Private channels, private groups, bots and personal accounts are skipped and named in the log.

🌍 Do I need a proxy? No for normal use. Telegram's public pages answered every request in our tests without one, from a home IP and from Apify's cloud. The proxy setting is there for very large runs.

🖼 Do I get the media files? You get the photo and video URLs Telegram serves, document names and sizes, and the link preview card. The file URLs are temporary Telegram CDN links, so download them soon after the run if you need copies.

📥 What export formats are supported? CSV, Excel, JSON, XML, plus direct API access and integrations with Make, Zapier, Airbyte, Slack, Google Drive and more.

⚖️ Is this legal? The Actor collects messages that channel owners publish to everyone. Messages can contain names and personal data, so you remain responsible for how you use the data, including privacy law such as GDPR and CCPA, and Telegram's terms.

🔌 Integrate with any app

Every run writes to an Apify dataset reachable through a REST API, so the output drops into whatever you already use. Native integrations cover Make, Zapier, Airbyte, Slack, Google Drive, GitHub, Google Sheets and webhooks, and the API covers everything else.

🔗 Recommended Actors

• Telegram Channel Scraper - full message history of the channels you find here.
• Reddit Scraper & Search API: Posts, Users, Subreddits - the same keyword research on Reddit.
• X / Twitter Scraper - 42 Fields Per Post - posts and engagement from X.
• Google News Scraper - news coverage of the same keywords.
• Threads Scraper - Public Posts by Username - public posts from Threads.

💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with Telegram; only publicly available data.