Research quick to set up

Insurance News Aggregation & Keyword Analysis

Every six hours, it scrapes insurance news, filters for keyword relevance.

Verified 2026-07-07

Data-AnalystMarketer

What it does

You receive curated insurance news every six hours that matches your specific keywords, saving you from sifting through irrelevant updates. This process automatically extracts clean text, filters out low-relevance items, and stores the high-quality articles in your marketing library and AI knowledge base for immediate use.

How it works

When it runs: On a schedule · Scheduled · every 6 hours
How hands-off: Assists you, you do the final step
Setup: Quick setup · under an hour
Works with: HTTP Request, Code, Supabase

Tools that fit

Services

HTTP Request : Scraping RSS feeds and web pages

Supabase : Storing articles in dual database storage

api

Code : Parsing HTML with Cheerio and filtering content

Watch out for

RSS feeds often return inconsistent HTML structures so you must add robust error handling and fallback parsers for malformed pages.
Supabase row-level security policies can block writes if not explicitly configured for your service role key, so verify permissions early.
Keyword matching may flag outdated press releases as relevant, so add a freshness check based on publication dates to filter stale content.
API rate limits from news sources can cause the automation to fail during peak times, so implement retry logic with exponential backoff.

Seen in the wild

n8n: Insurance News Aggregation Keyword Analysis & Database Storage via Supabase template

Want this running in your business?

This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.

Get in touch

Who it's for

Built for data analysts who want the pull-and-summarize grind automated.

Marketers can point this at their own content pipeline with no changes to the pattern.

Frequently asked questions

Who is this for?

data analysts and marketers, or anyone doing research work who wants this handled automatically rather than manually.

How long does it take to set up?

Quick setup: plan for under an hour to get it running end to end.

Related use cases

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