ClawEngine.ai

By use case · Ecommerce data

Ecommerce scraping API for product and price data at scale

The short answer

An ecommerce scraping API takes a product URL and returns typed fields (name, price, currency, stock status, rating and image) as JSON instead of raw HTML, so you can track prices and catalogs without writing a parser per store. ClawEngine renders each product page, maps it to a schema you define, and returns a clean record ready for a database, a price-monitoring job or a feed. It runs on public, permitted product pages only, reads robots.txt and honors crawl-delay. Plans start at $39 a month.

Clean markdown & JSON · JavaScript rendered · robots.txt respected

Last updated July 2026

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robots.txt respected · public data only

Markdown · JSON · structured fields, from one API call. Crawling, rendering and extracting ...

Retail data changes hourly, and the pages that hold it are heavy with JavaScript, carousels and popups. Scraping a store the hard way means a headless browser, a parser that breaks on every redesign, and proxy rotation to stay up. An ecommerce scraping API removes that. ClawEngine renders each product page, then maps it to the exact fields you care about, price, currency, availability, rating, SKU, image, and returns typed JSON.

Point it at a single product, a category listing or a whole catalog, and get a consistent record back every time. That feeds a price-monitoring pipeline, a competitive-intelligence dashboard, a shopping feed or a market-research model without any parsing code on your side. ClawEngine stays on public, permitted pages, reads and respects robots.txt and Terms of Service, and honors crawl-delay, so your retail data is built responsibly.

CRAWL RENDER JS EXTRACT MARKDOWN JSON

Any URL in LLM-ready data out

robots.txt respected public data only

Why it works

What you get with Ecommerce data

Typed retail fields

Define price, currency, stock, rating, image and SKU, and ClawEngine returns them as typed JSON per product, so you get a clean record instead of parsing a storefront by hand.

Built for price monitoring

Consistent records across stores make a scheduled price-tracking or competitive-intelligence job a simple diff, not a parser you rebuild every time a site is redesigned.

Renders modern storefronts

Price, stock and variant data that loads with JavaScript is captured, because each page is rendered in a real browser environment before extraction.

What it handles

Any URL in, clean structured data out

Point ClawEngine at a public page and it crawls, renders the JavaScript and extracts clean markdown or typed JSON in one call. Define a schema for structured fields, and respect robots.txt and Terms of Service by default.

  • Extracts price, stock, rating and specs as typed JSON
  • Works on single products, categories or whole catalogs
  • Renders JavaScript-heavy storefronts before extracting
  • Feeds price monitoring and competitive-intelligence jobs
  • Returns a consistent shape across different stores
  • Stays on public, permitted product pages only
POST /v1/extract extraction result
200 · JSON
{
  "url": "https://example.com/products/atlas",
  "title": "Atlas Field Notebook",
  "markdown": "# Atlas Field Notebook\n\nDurable...",
  "data": {
    "name": "Atlas Field Notebook",
    "price": 24.00,
    "currency": "USD",
    "rating": 4.7
  },
  "links": [ "/products", "/cart" ],
  "metadata": { "rendered": true }
}
JS rendered · boilerplate stripped ✓ robots.txt respected

Why ClawEngine

One API that crawls, renders and extracts

Not a raw HTML dump, not a headless browser fleet to run, and not a brittle parser to maintain. One call crawls a public page, renders its JavaScript and returns clean markdown or typed JSON, built for RAG pipelines and AI agents.

LLM-ready output

Clean markdown or typed JSON with the boilerplate stripped, so the data drops straight into a vector store, a prompt or an agent without a cleanup step.

JavaScript rendered

Each page loads in a real browser environment before extraction, so single-page apps and client-rendered content come back complete, not as an empty shell.

Compliance-first

ClawEngine works on public, permitted data only. It respects robots.txt and site Terms of Service and honors crawl-delay, so responsible scraping is the default.

Code examples

Extract product data in a few lines

Send a product URL and a schema of the retail fields you want. ClawEngine renders the store page, maps it and returns typed JSON. Run it on a schedule to monitor prices, or batch a list of URLs for a catalog sync.

curl Extract a product (POST /v1/extract)
curl https://api.clawengine.ai/v1/extract \
  -H "Authorization: Bearer $CLAWENGINE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://store.example.com/p/atlas-headphones",
    "format": "json",
    "schema": {
      "name": "string",
      "price": "number",
      "currency": "string",
      "in_stock": "boolean",
      "rating": "number",
      "image": "string"
    }
  }'
python Track prices across a list of products
import os, requests, datetime

BASE = "https://api.clawengine.ai/v1"
headers = {"Authorization": f"Bearer {os.environ['CLAWENGINE_API_KEY']}"}
schema = {"name": "string", "price": "number", "currency": "string", "in_stock": "boolean"}

urls = [
    "https://store.example.com/p/atlas-headphones",
    "https://rival.example.com/p/atlas-headphones",
]

for url in urls:
    r = requests.post(f"{BASE}/extract", headers=headers,
                      json={"url": url, "format": "json", "schema": schema})
    product = r.json()["data"]
    # Store with a timestamp; diff against the last run to flag price moves
    print(datetime.date.today(), product["name"], product["price"], product["currency"])
node Sync a category as typed records
// Crawl a category page, then extract each product to your schema.
const res = await fetch("https://api.clawengine.ai/v1/crawl", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.CLAWENGINE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    url: "https://store.example.com/c/headphones",
    include_paths: ["/p/"],
    limit: 500,
    format: "json",
    schema: { name: "string", price: "number", currency: "string", in_stock: "boolean" },
  }),
});

const { id } = await res.json();
// Poll /v1/crawl/{id} or register a webhook; each page returns a typed product record.
console.log("catalog sync started", id);

People also ask

Ecommerce scraping API: the questions buyers ask

What is an ecommerce scraping API?

An ecommerce scraping API is a hosted service that turns product pages into structured data through one API call. You send a product or category URL, and it renders the page, locates the retail fields (price, currency, stock, rating, image, SKU) and returns typed JSON. Rendering, parsing and field mapping happen on the service side, so you get a clean record per product instead of maintaining a scraper for every store layout.

How do I monitor competitor prices with an API?

Extract each competitor product URL on a schedule and store the price and stock fields with a timestamp. Run the extraction daily or hourly depending on how fast the category moves, then compare each new record against the last to flag changes. ClawEngine returns typed price and availability fields per product, so the monitoring logic is a simple diff rather than a parsing project. It works on public product pages only.

Can I scrape product data from JavaScript-heavy stores?

Yes, if the tool renders. Most modern storefronts build price, stock and variant data client-side, so a scraper that reads only raw HTML gets an empty shell. ClawEngine loads each page in a real browser environment and waits for the content to build before it extracts, so prices and availability that appear after load come back complete. This is the most common reason a product scrape looks like it ran but returned no price.

Is it legal to scrape ecommerce product data?

Scraping publicly available product pages is broadly lawful in the United States, and US courts have repeatedly declined to treat access to public data as a Computer Fraud and Abuse Act violation. The limits that still apply are the store's Terms of Service, its robots.txt, copyright in images and descriptions, and privacy law once personal data is involved. ClawEngine works on public, permitted pages only and respects robots.txt and Terms of Service. This is general information, not legal advice.

How often should I refresh scraped price data?

Match the cadence to how fast the category moves. Fast-moving electronics and marketplace listings can change several times a day, so hourly or a few times a day is reasonable; stable catalog items are fine daily or weekly. Refreshing more often than the data changes wastes requests and adds load on the source. Scope each run to the products you actually track rather than re-crawling the whole store.

Do I get images and specifications, not just price?

Yes. You define the schema, so a product record can include name, price, currency, availability, rating, review count, image URLs, brand, SKU and any spec listed on the page. ClawEngine maps the rendered page to those fields and returns them as typed JSON in a consistent shape, so your feed or database gets the full product, not just a number.

Good questions

Questions about Ecommerce data

Yes. Crawl a category or the whole store from a seed URL and ClawEngine returns a typed record per product, or extract a known list of product URLs directly. Either way you get consistent JSON per item, so a catalog sync is one job instead of thousands of hand-written fetches.
It returns whatever is on the public page, including the listed currency, so multi-region and marketplace pages come back with the price and currency as shown. You define the schema once and every product maps to it. ClawEngine stays on public, permitted pages and respects robots.txt and Terms of Service.

Explore more

More ways to turn the web into data with ClawEngine

Stop wrangling raw HTML. Get LLM-ready data.

Point ClawEngine at a public page and one call crawls, renders the JavaScript and extracts clean markdown or typed JSON, ready for your RAG pipeline or AI agent. Public, permitted data only.

See pricing

Crawl · render JS · extract markdown & JSON · robots.txt respected, public data only