You have three real options to auto-post RSS to a Telegram channel: write your own bot in Python, glue feeds together with a no-code service like IFTTT or Make, or run a purpose-built AI tool. The right pick depends on whether you want every item published, only the good ones, and how much glue you want to maintain. For most channel owners, a curated pipeline with relevance scoring beats a firehose of everything the feed produces.
If you run a Telegram channel — news, tech, niche aggregator, brand updates — you've probably hit the same wall: there's more good content out there than you have time to share, and most of the easy automation options dump everything into your channel and call it done. That works for the first day. By week two, your subscribers see twelve duplicates of the same headline rephrased by twelve different sites and start muting you.
This guide walks through the three approaches that actually work in 2026, what each one costs in time and money, and how to set up an end-to-end RSS-to-Telegram pipeline in about five minutes if you pick the AI-curated route.
The three real approaches
Here's the honest comparison. Pick one based on how much engineering time you want to spend versus how much editorial control you want.
| Approach | Setup time | Filtering | Cost | Maintenance |
|---|---|---|---|---|
| DIY Python bot | 2–4 hours | You write it | Server hosting (~$5/mo) | Ongoing |
| No-code (IFTTT, Make, Zapier) | 15–30 minutes | Keyword rules only | Free tier, then $10–25/mo | Low |
| AI-curated tool (Mira) | 5 minutes | AI-curated relevance | Free or 1000 ⭐/mo (≈$13) | None |
Option 1: Write your own Python bot
The DIY route is the most flexible — you control every line — and the most expensive in time. You'll need a Telegram bot token from @BotFather, a server (a $5 VPS or a free Heroku-equivalent), and code that fetches the feed, deduplicates against what you've already posted, formats the message, and sends it.
Skeleton in Python:
import feedparser, requests, time, json
from pathlib import Path
BOT_TOKEN = "your-bot-token"
CHAT_ID = "@your_channel"
FEED_URL = "https://example.com/rss"
SEEN_FILE = Path("seen.json")
seen = set(json.loads(SEEN_FILE.read_text())) if SEEN_FILE.exists() else set()
while True:
for entry in feedparser.parse(FEED_URL).entries:
if entry.id in seen:
continue
text = f"{entry.title}\n{entry.link}"
requests.post(
f"https://api.telegram.org/bot{BOT_TOKEN}/sendMessage",
json={"chat_id": CHAT_ID, "text": text, "parse_mode": "HTML"},
)
seen.add(entry.id)
SEEN_FILE.write_text(json.dumps(list(seen)))
time.sleep(900) # 15 minutes
What this skeleton doesn't handle: HTML escaping, broken feeds, Telegram rate limits, retries, multiple sources, deduplication across feeds, posting at off-hours, formatting beyond title+link, or any quality filter at all. Each of those takes an evening. Realistic total: a weekend to get something stable.
Option 2: No-code workflow (IFTTT, Make, Zapier)
Faster to ship: no-code services let you wire an RSS trigger to a "Send Telegram message" action through a UI. IFTTT has a one-click RSS-to-Telegram applet. Make.com and Zapier offer the same with more knobs (filters, formatting templates, multi-step workflows).
The catch is filtering. You can write rules like "only post if title contains 'iPhone'", but you can't say "only post if it's actually relevant to my channel about photography gear, not chip rumors." The platform doesn't read the article — it just matches strings.
Cost-wise: IFTTT free tier covers 2 applets, then $3.50/mo. Make.com is free up to 1,000 operations/month, then ~$10. Zapier free covers 100 tasks/month, then $20+. If you have 5 RSS feeds at ~10 articles each per day, you'll burn through the free tier in days.
Option 3: AI-curated pipeline
The third option — what we built Mira to do — is the same as no-code but with a relevance filter that actually reads each article. Every fetched item is curated against your channel's voice before anything is published. Off-topic items are auto-skipped; the rest land in your draft queue.
This is the path we'll walk through in detail next, because it's also the only option of the three with a five-minute setup.
5-minute Mira walkthrough
Here's the end-to-end setup. Numbers and limits below come straight from the live product.
-
Open Mira in Telegram.
Go to t.me/usemirabot and send
/start. New accounts automatically get 3 days of Pro access. No credit card, no checkout — payment, when you decide to upgrade, happens with Telegram Stars inside the chat. -
Connect your channel.
Add
@usemirabotas an administrator to your Telegram channel with permission to post messages. Send the channel handle to Mira (e.g.@my_channel). The bot verifies it can publish and confirms. - Add your RSS feeds. Paste each feed URL one at a time. Mira validates the feed parses correctly, fetches a sample, and shows you the most recent few items so you can sanity-check the source. You can mix RSS with YouTube channels, Reddit subreddits, Google News searches, public web pages, and other Telegram channels — but for this guide we'll stay on RSS.
- Tell Mira your channel's voice. A short profile of what your channel covers, who you write for, and what to avoid. From then on, every fetched article is checked against this profile.
- Pick a schedule and a quality bar. Choose how many posts per day (e.g. 5), a time window in your timezone (e.g. 09:00–21:00), and how strict the curation should be. Mira spaces posts evenly so two articles never go out in the same minute. On Pro, enable auto-publish and walk away. On Free, drafts queue in chat for one-tap approval.
That's it. From here forward, on a schedule (more frequent on Pro), Mira pulls your feeds, keeps the items that fit your channel, drops the duplicates and the off-topic items, and either drafts or publishes the survivors based on your settings.
How Mira filters content
Every fetched article is read by AI and evaluated for fit with your channel's voice. Off-topic items, broken feeds, and stories that overlap with what you've already published are silently dropped. Only what passes enters your draft queue.
For a wider view of the flow, see How Mira works.
Common pitfalls (and how Mira handles them)
Telegram rate limits
Telegram enforces per-chat and global rate limits on bots. Burst-publishing a backlog of 100 articles will get you throttled or temporarily banned. Mira spaces posts well below the ceiling, using your time windows to avoid hammering the channel.
Duplicate articles across feeds
If you follow TechCrunch, The Verge, and Hacker News, you'll get the same launch announcement three times. Pure RSS-to-Telegram bots send all three. Mira catches this — the second and third identical-meaning posts are dropped silently.
Broken feeds
RSS feeds break. Servers return 503, change format from RSS to Atom mid-stream, or start returning HTML in summary fields. A naive bot crashes its loop on the first malformed feed and stops posting from any source. Mira fetches each source independently and isolates failures, so one broken feed doesn't take down the rest.
Telegram preview cards stealing focus
By default, Telegram tries to render a link preview from any URL it sees in a message. If your post body contains three links, Telegram picks one (usually the wrong one) and renders that preview. Mira keeps drafts clean — you control which preview shows, if any.
When this is the wrong tool
Honest: AI-curated pipelines are not always right. If your channel needs every single article from a feed published — say, you run a status-page mirror or a regulatory-filings channel where completeness is the point — you don't want a relevance filter. Use a dumb bot or IFTTT for that.
If your channel posts fewer than 1 article per day from carefully hand-picked sources, automation overhead isn't worth it. Just post manually.
If your channel strictly requires zero AI involvement in publishing decisions (some news ethics policies forbid algorithmic curation), an AI tool is the wrong fit by definition.
For everything else — the niche aggregators, daily-digest channels, brand newsrooms, news-by-topic channels — relevance-aware automation is the difference between a channel that grows and one that gets muted.
Frequently asked questions
Can I auto-post RSS to a Telegram channel for free?
Yes — Mira's Free tier supports a handful of RSS sources with manual approval (publish drafts with one tap inside Telegram). Auto-publishing without approval requires Pro at 1000 Telegram Stars per month (≈ $13). New accounts get 3 days of Pro free.
How often does Mira check RSS feeds for new posts?
Mira checks your feeds on a schedule, more frequently on Pro than on Free. You can also trigger a manual check any time from the Telegram chat.
Does Mira filter out duplicate articles across multiple RSS feeds?
Yes. Mira remembers what's been published on your channel and silently drops new articles that match anything already there — so the same story from two different sources is detected and dropped automatically.
What happens if Telegram rate-limits the bot during posting?
Mira respects Telegram's rate limits and spaces posts well below the ceiling. Auto-publish distributes posts evenly across your time window so your channel never approaches the rate ceiling.
Can I edit posts before they're published to my channel?
Yes. Every fetched article becomes a draft card in your chat with the bot. You can publish, edit, regenerate with AI in your channel's tone, or skip — each with one tap. Auto-publish is optional and can be turned off at any time.
What's the difference between "research" and "publish" in Mira?
Research = fetching new articles from your sources and curating them (this is where AI work happens). Publish = sending an approved draft to your Telegram channel (free). Daily research limits depend on your plan; publishing approved drafts has no AI cost.
Set it up in five minutes.
Free tier covers a handful of RSS sources. New accounts get 3 days of Pro free, no credit card needed.
Open in Telegram