Creating an RSS-to-Twitter bot involves automatically fetching the latest posts from an RSS feed and tweeting them on a Twitter account. Here’s a step-by-step guide along with a Python script example that you can run on your server or local machine.
How it works:
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Fetch the RSS feed regularly (e.g., every 10 minutes).
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Parse the feed to extract new articles.
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Check if the article has already been tweeted.
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Post the new article to Twitter.
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Save the tweeted articles so they aren’t repeated.
What you’ll need:
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A Twitter Developer account and API keys (API key, API secret key, Access token, Access token secret).
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The URL of the RSS feed you want to monitor.
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Python environment.
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Python libraries:
feedparser
,tweepy
,sqlite3
(or any storage for tracking posted items).
Step 1: Install Python packages
Step 2: Set up Twitter API access
Go to Twitter Developer Portal and create an app. Obtain:
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API key & secret
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Access token & secret
Step 3: Sample Python Script
How to customize:
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Replace
'YOUR_API_KEY'
, etc. with your actual Twitter API credentials. -
Replace
RSS_FEED_URL
with the actual RSS feed URL you want to track. -
The database file
posted.db
keeps track of tweeted entries to avoid duplicates. -
Adjust the
time.sleep(600)
to change the interval of checking new posts (600 seconds = 10 minutes).
This bot will continuously run, fetching the feed every 10 minutes and tweeting any new posts. You can run this script on a server or any computer that stays online. For deployment, consider using a VPS or cloud service.
If you want, I can help you extend this bot with more features like formatting tweets, handling media, or posting on a schedule.
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