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.
One drop-in. A whole scraping stack.
Read a page, pull named fields, map a whole site — in a single capability, instead of stitching together a headless browser, a parser and a pile of brittle selectors you have to keep fixing.
Read a pageTurn any URL into clean, readable text — nav, ads and footers stripped out.
Extract fieldsName the values you want and get back a clean, structured object.
Map a siteList every page URL on a domain, ready to gather one by one.
AI reads itAI reads the page semantically, so it keeps working when the layout changes.
Route the resultSend what you pulled onward — save it, branch on it, act on it.
Built to scaleOne 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
{ 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.
Any publicly reachable URL — a competitor's page, an article, a docs page, a listing.
Nav, footer, sidebar and ads are removed on our servers. Main-content-only is on by default.
You get readable text — plus the title, links and metadata — an AI step can act on right away.
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. Here's the same pricing page, raw on the left, named-and-extracted on the right.
<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>
{
"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.
Main content only is on by default — nav, footer, sidebar and ads stripped before you ever see them.
You describe a field in plain English; AI finds it on the page, redesign or not.
Hand it a domain and get every page URL back — up to 5,000 — with an optional keyword filter.
Narrow a map or a search to one domain when you only care about that site’s pages.
A slow or flaky server is waited out and retried automatically, so a run doesn’t fall over.
Point it at one URL, or map a site and iterate the list — whatever your workflow already has.
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.
Read the pageExtract the fieldsBranch on what you found
Save to Tables
Email the teamAll on one canvas — no glue code, no exports, no second tool.
What people pull with it.
A few of the runs that take minutes to wire up and then watch themselves.
Extract plan_name, price and features off a rival’s /pricing, save the row to Tables, and re-run on a schedule to catch every change.
Extract name, email, phone and role off a team or directory page, then push the contacts to Tables or a follow-up workflow.
Scrape a page to clean Markdown and feed it to a Tiny AI step to summarise, classify or pull the intent out of it.
Map a domain with the filter “blog”, get every /blog/ URL, and iterate the list to scrape each page into one table.
Three ways to drop it in.
Web Scrape lives in the builder as three nodes — add them to a Tiny Form or a Workflow, wire a link in, and route the result onward. Metered in the same credits as everything else.
Turn any web page into clean Markdown — chrome stripped.
Name the fields you want; get them back as structured JSON.
List every page URL on a domain, up to 5,000.
Each node opens a quick three-step wizard — pick a starting point, configure it, and run a live test before you wire it in. Every input is a formula field, so a link or a list can come straight from an earlier step.
How it compares.
The cloud scraping services are powerful and fast. The difference is that Web Scrape is built into the place you already work, reads pages semantically instead of by selector, and does the parts they leave to you.
| Tiny Command Web Scrape | Cloud scraping APIs | Headless-browser tools | Point-and-click scrapers | |
|---|---|---|---|---|
| Name a field, get structured JSON — no selectors | ✓ | some | No | selectors |
| Clean Markdown out, chrome stripped | ✓ | add-on | No | No |
| Survives a redesign without re-writing rules | ✓ | No | No | No |
| Built into your forms & workflows, no code | ✓ | API only | Code | app only |
| One bill with the rest of your stack | ✓ | No | No | No |
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.
Do I have to write selectors or regex? +
No — that's the whole point. You name the fields you want and describe each one in a line of plain English. AI reads the page and fills them in. Because it reads semantically rather than by CSS rule, it keeps working when the site is redesigned, instead of breaking the next morning.
Do I need to write any code? +
No. Web Scrape is three drag-in nodes inside Tiny Forms and Workflows — add one, point it at a link, and route the result to a table, an email or the next step. No keys, no servers, no headless browser to host.
Where does the scraped data go? +
Wherever you send it. The output is clean, structured data, so it drops straight into your own Tiny Tables, kicks off a workflow, or fills an email — no exporting and re-importing between tools.
What does it cost? +
It's metered in the same credits as the rest of Tiny Command — reading a page, extracting fields or mapping a site are 2 credits each — on every plan, including Free. No separate vendor bill.
Can it handle a whole site? +
Yes. Map a domain to get every page URL back — up to 5,000, with an optional keyword filter to keep just the section you care about — then iterate the list and scrape or extract each page in your workflow.
Stop copying data off pages by hand.
Drop Web Scrape into a form or a workflow and let it read, name and hand off the data. Free to start.