Convert webpages into clean, AI-ready text automatically

Feed in a list of URLs and get back clean markdown text and every link found on each page.

How the work actually flows

A straight line. Runs once per each url in the list.

Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(("list of URLs submitted")):::human s0[["fetch each webpage"]]:::mi s1["convert HTML to markdown"]:::task s2["extract links from page"]:::task s3[("save text and links to database")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"clean markdown text and links per URL"/]:::out pay{{"AI-ready content without manual cleanup"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
General Automation
Connects
Firecrawl

The problem it solves

If you're trying to feed webpage content into an AI tool or research process, raw HTML is full of clutter that gets in the way. Manually copying and cleaning up page content for every URL doesn't scale. This strips out the formatting noise and hands you clean text and links instead.

Who it fits

Researchers, marketers, or teams who need clean webpage content and links for AI analysis or research.

How it works

  1. You provide a list of URLs to process
  2. Each page is fetched and its HTML is converted into clean markdown text
  3. Every link found on the page is pulled out separately
  4. The system paces requests to stay within rate limits
  5. The clean text and links are saved to your output database
What you get

Webpages turned into clean text for research

You feed in a list of links and get back clean, readable text plus every link found on each page.

What you get

Clean markdown text and a list of links for every URL you submit.

What you need

A Firecrawl API key and a database to store the URLs and results.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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