ClawEngine.ai

By use case · Job data

Job scraping API for clean job posting data at scale

The short answer

A job scraping API takes a job posting URL and returns the title, company, location, salary, employment type and description as typed JSON instead of a page wrapped in filters, related-job widgets and apply modals. ClawEngine renders each posting, strips the boilerplate and fills a schema you define in one call, so a career page or a public board becomes a clean, structured feed for a job aggregator, an ATS integration or labor-market analysis. It runs on public, permitted 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 ...

Job postings are structured in meaning but messy in markup: a title, a company, a location and a salary buried inside filters, related-role rails, apply widgets and tracking scripts. A job scraping API gives you the fields, not the furniture. ClawEngine renders each posting, strips the clutter, and returns a typed record, title, company, location, salary range, employment type and full description, in one call, so a company career page or a public job board becomes a clean feed you can index and query.

That powers a niche job board, an ATS or CRM integration, a recruiting-intelligence tool or labor-market research without a parser per source. The compliance line is real: some large job platforms restrict scraping in their Terms of Service and put content behind logins, so ClawEngine stays on public, permitted pages, reads robots.txt and honors crawl-delay, and does not target logins or private data. Company career pages and boards that permit crawling are the durable sources to build on.

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 Job data

Postings in, typed jobs out

Feed a board or career-page URL and a schema, and ClawEngine returns a clean record per posting, title, company, location, salary and description, ready to index and query.

Renders modern job boards

Listings that load client-side come back complete, because each posting is rendered in a real browser environment before extraction rather than read from raw HTML.

Public, permitted sources

It reads robots.txt, respects Terms of Service and honors crawl-delay, and stays off logins and gated content, so build on company career pages and boards that allow crawling.

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 title, company, location, salary and description
  • Strips apply widgets and related-role clutter
  • Returns a consistent typed record per posting
  • Renders JavaScript job boards before extracting
  • Feeds job aggregators, ATS and market analysis
  • Stays on public, permitted 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 a job posting in a few lines

Send a posting URL and a schema of the fields you want. ClawEngine renders the page, strips the clutter and returns the clean job as typed JSON. Crawl a career page or board to build a whole feed.

curl Extract a job posting (POST /v1/extract)
curl https://api.clawengine.ai/v1/extract \
  -H "Authorization: Bearer $CLAWENGINE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://careers.example.com/jobs/senior-backend-engineer",
    "format": "json",
    "render": true,
    "schema": {
      "title": "string",
      "company": "string",
      "location": "string",
      "salary_range": "string",
      "employment_type": "string",
      "description": "string"
    }
  }'
python Build a deduplicated job feed
import os, requests, hashlib

BASE = "https://api.clawengine.ai/v1"
headers = {"Authorization": f"Bearer {os.environ['CLAWENGINE_API_KEY']}"}
schema = {
    "title": "string", "company": "string", "location": "string",
    "salary_range": "string", "description": "string",
}

def job_id(rec):
    key = f"{rec['company']}|{rec['title']}|{rec['location']}".lower()
    return hashlib.sha1(key.encode()).hexdigest()

urls = [
    "https://careers.example.com/jobs/senior-backend-engineer",
    "https://board.example.com/listing/backend-eng-acme",
]

seen = {}
for url in urls:
    rec = requests.post(f"{BASE}/extract", headers=headers,
                        json={"url": url, "format": "json", "schema": schema}).json()["data"]
    seen[job_id(rec)] = rec  # collapses the same role posted on several boards

print(f"{len(seen)} unique roles")
node Filter roles by salary band
// Pull a posting and route it by pay band.
const res = await fetch("https://api.clawengine.ai/v1/extract", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.CLAWENGINE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    url: "https://careers.example.com/jobs/staff-engineer",
    format: "json",
    schema: {
      title: "string",
      company: "string",
      location: "string",
      salary_range: "string",
    },
  }),
});

const { data } = await res.json();
console.log(`${data.title} at ${data.company}: ${data.salary_range}`);

People also ask

Job scraping API: the questions buyers ask

What is a job scraping API?

A job scraping API is a hosted service that turns public job posting pages into structured data through one call. You send a posting or listing URL and a schema, and it renders the page, strips the apply widgets and related-role clutter, and returns the title, company, location, salary, employment type and description as typed JSON. The parsing happens on the service side, so you build a job feed without maintaining a reader per board or career site.

Is it legal to scrape job postings?

Accessing publicly available job postings is broadly lawful in the United States, and US courts have repeatedly declined to treat scraping public data as unauthorized access under the Computer Fraud and Abuse Act. The constraints that still bite are the platform's Terms of Service, its robots.txt, and copyright in the posting text. Some large job boards explicitly prohibit scraping and gate content behind logins, so build on company career pages and boards that permit crawling. ClawEngine works on public, permitted pages only. This is general information, not legal advice.

How do I scrape job listings from a website?

Crawl the board or career page from a seed URL to collect posting links, then extract each posting against a fixed schema so every job comes back in the same shape. Capture title, company, location, salary, employment type, posted date and description, and store them keyed by a stable job ID or canonical URL. Run it on a schedule to catch new and expired roles. ClawEngine handles the rendering and extraction, so this is a crawl plus a schema rather than a parser per site.

Can it extract the salary and location?

Yes. Because you define the schema, a job record can include title, company, location, salary or salary range, employment type, remote flag, posted date and the full description. ClawEngine reads the rendered page to fill those fields and returns them as typed JSON in a consistent shape, which is what you need to filter by pay band, map roles by geography or normalize employment type across many different boards.

Does it handle job boards that load listings with JavaScript?

It does, because it renders. Most modern job boards load listings and posting details client-side through JavaScript, so a raw-HTML scraper returns an empty shell. ClawEngine loads each page in a real browser environment and waits for the content to build before extracting, so the title, salary and full description come back complete rather than as placeholders.

How do I keep a job feed fresh and deduplicated?

Run the crawl on a schedule and key every record by a stable identifier such as the canonical posting URL or a hash of company plus title plus location, so re-running the crawl updates existing jobs instead of duplicating them. The same job often runs on several boards, so extracting a consistent schema lets you collapse those into one canonical posting and mark roles as expired when they drop off the source.

Good questions

Questions about Job data

Yes. Give it a seed URL and crawl rules and ClawEngine follows links to each posting and returns a clean record per job, or extract a known list of posting URLs directly. Run it on a schedule to pick up new and expired roles, so a job feed is one job rather than a reader per site.
Anything on the public posting: title, company, location, salary range, employment type, remote flag, posted date, canonical URL and the full description. You define the schema, and ClawEngine returns those fields as typed JSON in a consistent shape across every source you crawl, which is what makes normalization and deduplication tractable.

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