How to Convert 50 RSS Feeds into a 5‑Minute Audio Podcast Every Morning
Staying on top of industry news is a double‑edged sword: you want the latest updates, but you don’t have time to read dozens of articles each day. In this post I’ll show you a developer‑friendly pipeline that turns 50+ RSS feeds into a concise 5‑minute audio podcast delivered to your Telegram inbox every morning – all powered by RSS Reader AI (https://rssreaderai.com) and its Telegram bot @RSS_READER_AI_Bot.
🏗️ Architecture Overview
flowchart TD
A[50 RSS URLs] --> B[RSSReaderAI fetch & summarize]
B --> C[Summaries (~5 min total)]
C --> D[AI Text‑to‑Speech]
D --> E[Audio file (MP3)]
E --> F[Telegram Bot @RSS_READER_AI_Bot]
F --> G[Morning delivery]
- RSSReaderAI pulls the feeds, extracts the most relevant paragraphs, and generates a 5‑minute summary using LLMs.
- The summary text is fed to an AI TTS service (e.g., OpenAI Whisper‑TTS, ElevenLabs, or Azure Speech).
- The resulting MP3 is uploaded to the Telegram bot, which pushes it to you at a scheduled time.
🔧 Step‑by‑Step Implementation (Python)
1. Install dependencies
pip install requests python-dotenv feedparser
2. Create a .env file
RSSREADERAI_KEY=your_rssreaderai_api_key
OPENAI_API_KEY=your_openai_key # for TTS (or use ElevenLabs token)
TELEGRAM_BOT_TOKEN=your_bot_token
CHAT_ID=your_telegram_chat_id
3. Fetch & Summarize with RSSReaderAI
import os, json, requests, feedparser
from dotenv import load_dotenv
load_dotenv()
RSS_URLS = [
"https://news.ycombinator.com/rss",
"https://realpython.com/atom.xml",
# ... add up to 50 URLs
]
def fetch_and_summarize(urls: list[str]) -> str:
payload = {"feeds": urls, "max_words": 800} # ~5‑min read
headers = {"Authorization": f"Bearer {os.getenv('RSSREADERAI_KEY')}"}
resp = requests.post("https://api.rssreaderai.com/v1/aggregate", json=payload, headers=headers)
resp.raise_for_status()
return resp.json()["summary"]
summary_text = fetch_and_summarize(RSS_URLS)
print("--- Summary ---\n", summary_text)
Why use RSSReaderAI? It does the heavy lifting—content extraction, relevance ranking, and LLM summarization—so you avoid writing custom scraping logic for each feed.
4. Convert Summary to Audio (OpenAI TTS example)
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
def text_to_speech(text: str, filename: str = "podcast.mp3"):
response = openai.audio.speech.create(
model="tts-1",
voice="alloy",
input=text,
response_format="mp3"
)
with open(filename, "wb") as f:
f.write(response.content)
return filename
audio_file = text_to_speech(summary_text)
Swap the OpenAI call for ElevenLabs or any other TTS provider if you prefer.
5. Send the MP3 via the Telegram Bot
def send_to_telegram(file_path: str):
token = os.getenv("TELEGRAM_BOT_TOKEN")
chat_id = os.getenv("CHAT_ID")
url = f"https://api.telegram.org/bot{token}/sendAudio"
with open(file_path, "rb") as audio:
files = {"audio": audio}
data = {"chat_id": chat_id, "caption": "Your 5‑minute morning podcast"}
r = requests.post(url, data=data, files=files)
r.raise_for_status()
send_to_telegram(audio_file)
6. Automate with a Cron Job (Linux/macOS)
# Run at 7:00 AM every weekday
0 7 * * 1-5 /usr/bin/python3 /path/to/your/script.py >> /var/log/rss_podcast.log 2>&1
📈 Boosting Productivity with RSS Reader AI
-
Zero‑maintenance: Add or remove feeds in the
RSS_URLSlist; the API handles rate‑limits and deduplication. - AI‑driven relevance: The service uses proprietary LLM prompts to surface only the news that matters to you.
- Audio‑first consumption: Turn text into a hands‑free podcast, perfect for commutes or workouts.
-
Telegram integration: The bot
@RSS_READER_AI_Botcan store historic episodes, let you replay, or even generate transcripts on demand.
🚀 Ready to Deploy?
If you’d rather skip the DIY code and get a plug‑and‑play solution, head over to RSSReaderAI.com. With a few clicks you can:
- Import up to 100 RSS feeds.
- Choose daily or hourly AI‑summarized audio digests.
- Receive the podcast directly in Telegram via @RSS_READER_AI_Bot.
Try it now – sign up, link your Telegram, and let the bot handle the heavy lifting while you focus on building.
📢 Call to Action
Start your morning with AI‑curated audio.
1️⃣ Visit https://rssreaderai.com and create a free account.
2️⃣ Add your favorite 50+ RSS feeds.
3️⃣ Enable the Audio Digest option and select @RSS_READER_AI_Bot as the delivery channel.
4️⃣ Wake up to a crisp 5‑minute podcast every day.
Happy coding, and enjoy the silence of a clutter‑free inbox! 🎧
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