Superpowers · Web Scrape

Name the data. Get back a clean row.

Web Scrape turns any web page into the exact data you need: clean text, the fields you ask for, or every URL on a site. You name what you want, AI reads the page, and the structured result drops straight into your workflows. No selectors to maintain, no scraper to babysit.

Read a page

Turn any URL into clean, readable text: nav, ads and footers stripped out.

Extract fields

Name the values you want and get back a clean, structured object.

Map a site

List every page URL on a domain, ready to gather one by one.

AI reads it

AI reads the page semantically, so it keeps working when the layout changes.

Route the result

Send what you pulled onward: save it, branch on it, act on it.

Built to scale

One page or a whole list, in a single run, metered in the same credits.

Name the fields. Get the data.

You don't write selectors or regex. You list the values you want (one field, one line of plain English each), point Web Scrape at a page, and it returns a clean JSON object keyed exactly by your names, ready for the next step.

• plan_name: the name of each pricing plan
• email: the contact email on the page
• role: the person's job title

Fields you want

• name: Full name of the contact
• email: Their email address
• role: Their job title

Result · JSON

{ 
  "name": "Priya Rao", 
  "email": "priya@acme.com", 
  "role": "Head of Ops" 
}

It returns clean prose, not page source.

Most scrapers hand you a wall of raw HTML you then have to clean up yourself. Web Scrape does the cleaning for you: it strips the navigation, the footer, the sidebar and the ads, and reconstructs just the body as tidy Markdown the next step can read immediately.

01 Give it a link

Any publicly reachable URL: a competitor's page, an article, a docs page, a listing.

02 Chrome stripped

Nav, footer, sidebar and ads are removed on our servers. Main-content-only is on by default.

03 Clean Markdown out

You get readable text (plus the title, links and metadata) an AI step can act on right away.

A flaky page or a slow server doesn't break your run. Web Scrape retries on its own and waits the site out, so the result keeps coming instead of failing on the first hiccup.

From tag soup to a row you can use.

The thing that makes most scrapers brittle is selectors: the moment a site redesigns, the rules that grab its data break. Web Scrape reads the page semantically with AI, so naming a field once keeps working when the layout changes.

Raw page source

<div class="nav">…</div>
<header class="hero">…</header>
<section class="pricing">
  <div class="card"><h3>Growth</h3>
    <span class="amt">$49</span>
    <small>per month</small>
    <ul class="feat">…</ul>
  </div>
</section>
<footer class="site-foot">…</footer>

Clean JSON

{
  "plan_name": "Growth",
  "price": "$49",
  "billing": "per month"
}

Name the field once; it keeps working when the page changes. That's the difference between a scraper you maintain forever and one you set up and forget.

Built for the pages you actually need.

Not a tidy demo site, the real web of pricing pages, team rosters, listings and docs.

• Clean Markdown, not HTML
• No selectors to maintain
• Map a whole site
• Retries on its own
• Link, page or list

The data goes straight to work.

Web Scrape isn't a dead end. Drop it into a form or a workflow and route what it pulls: read the page, extract the fields, branch on what you found, and send it onward without anyone retyping a thing.

What people pull with it.

A few of the runs that take minutes to wire up and then watch themselves.

• Competitor pricing watch
• Lead & contact harvesting
• Turn an article into AI-ready text
• Site inventory, then gather

Three ways to drop it in.

Web Scrape lives in the builder as three nodes. Add them to a TinyForm or a Workflow, wire a link in, and route the result onward. Metered in the same credits as everything else.

• Scrape Page 2 credits
• Extract Data 2 credits
• Map URLs 2 credits

How it compares.

If you need a raw scraping API to wire up and maintain yourself, the big clouds do that well. If you want pages read, named and acted on inside the tools you already use, that's what we built.

Good to know.

What can it scrape? +

Any publicly reachable web page: pricing pages, team rosters, listings, articles, docs and more. You give it a link; it reads the page and returns clean text, the fields you named, or a map of every URL on the site. It works on the page that's actually live, so it stays current.