Monitor RSS Feeds, Extract Full Articles with Jina AI, and Save to Supabase
Monitor RSS Feeds, Extract Full Articles, and Save to Supabase
Overview
This workflow solves a common problem with RSS feeds: they often only provide a short summary or snippet of the full article. This template automatically monitors a list of your favorite blog RSS feeds, filters for new content, visits the article page to extract the entire blog post, and then saves the structured data into a Supabase database.
It's designed for content creators, marketers, researchers, and anyone who needs to build a personal knowledge base, conduct competitive analysis, or power a content aggregation system without manual copy-pasting.
Use Cases
Content Curation: Automatically gather full-text articles for a newsletter or social media content. Personal Knowledge Base: Create a searchable archive of articles from experts in your field. Competitive Analysis: Track what competitors are publishing without visiting their blogs every day. AI Model Training: Collect a clean, structured dataset of full-text articles to fine-tune an AI model.
How It Works
Scheduled Trigger: The workflow runs automatically on a set schedule (default is once per day). Fetch RSS Feeds: It takes a list of RSS feed URLs you provide in the "blogs to track" node. Filter for New Posts: It checks the publication date of each article and only continues if the article is newer than a specified age (e.g., published within the last 60 days). Extract Full Content: For each new article, the workflow uses the Jina AI Reader URL (https://r.jina.ai/)) to scrape the full, clean text from the blog post's webpage. This is a free and powerful way to get past the RSS snippet limit. Save to Supabase: Finally, it organizes the extracted data and saves it to your chosen Supabase table. The following data is saved by default: title source_url (the link to the original article) content_snippet (the full extracted article text) published_date creator (the author) status (a static value you can set, e.g., "new") content_type (a static value you can set, e.g., "blog")
Setup Instructions
You can get this template running in about 10-15 minutes.
Set Up Your RSS Feed List:
Navigate to the "blogs to track" Set node.
In the source_identifier field, replace the example URLs with the RSS feed URLs for the blogs you want to monitor. You can add as many as you like.
Tip: The best way to find a site's RSS feed is to use a tool like Perplexity or a web-browsing enabled LLM.
// Example list of RSS feeds
['https://blog.n8n.io/rss', 'https://zapier.com/blog/feeds/latest/']
Configure the Content Age Filter:
Go to the "max\_content\_age\_days" Set node.
Change the value from the default 60 to your desired timeframe (e.g., 7 to only get articles from the last week).
Connect Your Storage Destination:
The template uses the "Save Blog Data to Database" Supabase node.
First, ensure you have a table in your Supabase project with columns to match the data (e.g., title, source_url, content_snippet, published_date, creator, etc.).
In the n8n node, create new credentials using your Supabase Project URL and Service Role Key.
Select your table from the list and map the data fields from the workflow to your table columns.
Want to use something else? You can easily replace the Supabase node with a Google Sheets, Airtable, or the built-in n8n Table node. Just drag the final connection to your new node and configure the field mapping.
Set Your Schedule:
Click on the first node, "Schedule Trigger".
Adjust the trigger interval to your needs. The default is every day at noon.
Activate Workflow:
Click the "Save" button, then toggle the workflow to Active. You're all set\!
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