# Job Postings Scraper - Any Career Site to Structured Data (`rocketyard/jobposting-schema-scraper`) Actor

Extract structured job posting data (title, description, datePosted, validThrough, employmentType, company and more) from any website that publishes schema.org markup. Paste URLs or crawl a site; get clean JSON, CSV or Excel. $1.60 per 1,000 results, no subscription.

- **URL**: https://apify.com/rocketyard/jobposting-schema-scraper.md
- **Developed by:** [Rocketyard](https://apify.com/rocketyard) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.60 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Job Postings Scraper - Any Career Site to Structured Data

### What does Job Postings Scraper do?

It extracts **job posting data** from any web page that publishes [schema.org](https://schema.org/JobPosting) structured data (JSON-LD or microdata), which most modern websites include for Google rich results. Give it a list of URLs, or a start page plus crawling, and get back clean, normalized records.

- Works on any website that publishes schema.org data (JSON-LD or microdata)
- Clean, normalized JSON ready for spreadsheets, databases and AI/RAG pipelines
- Pay only per result: no monthly rental, no minimums
- Respects robots.txt and crawl-delay automatically
- Lightweight HTTP extraction: fast and cheap, no browser needed

### Use cases

- **Aggregate openings from many company career pages**
- **Hiring-signal and salary benchmarking datasets**
- **Feed job data into recruiting tools and AI pipelines**

### Why this job posting scraper?

- Most competitors only support one website; ours works on any site with schema.org markup
- Several competitors have unreliable runs (<90% success in 30 days)
- Cheaper than typical alternatives ($1.60 vs $2.00 per 1,000 results)

### How it compares

| Job posting scraper | Users (last 30 days) | Successful runs (last 30 days) | Price per 1,000 results |
| --- | --- | --- | --- |
| Linkedin Jobs Scraper | 15040 | 98.9% | $2.00 |
| 🏆 LinkedIn Jobs Scraper | 7734 | 98.5% | $0.40 |
| 💡 Indeed Jobs Scraper | 5125 | 100.0% | $0.10 |
| **This Actor** | new | every release is tested on live pages first | **$1.60** |

Apify Store data from 2026-11-03, free-plan prices. Prices and stats change; check each listing before you compare.

### How to use it

1. Click **Try for free**.
2. Add one or more page URLs to **Start URLs** (for example `https://jobs.lever.co/spotify/03437e2a-2d5e-4593-9e97-11271014932e`).
3. Optionally enable **Crawl the website** to discover more pages on the same site, and narrow it with **Link pattern**.
4. Click **Start**, then download results as JSON, CSV, Excel or via the API.

### Input example

```json
{
  "startUrls": [
    {
      "url": "https://jobs.lever.co/spotify/03437e2a-2d5e-4593-9e97-11271014932e"
    }
  ],
  "maxItems": 100,
  "crawl": false
}
```

### Output example

```json
{
  "url": "https://jobs.lever.co/spotify/03437e2a-2d5e-4593-9e97-11271014932e",
  "type": "JobPosting",
  "title": "Product Manager - Data Platform",
  "description": "<p> </p><p>Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators.</p> <p>Data is a means to an end, and Spotify extracts value from…",
  "datePosted": "2026-04-14",
  "validThrough": null,
  "employmentType": null,
  "company": "Spotify",
  "companyUrl": null,
  "location": "London",
  "region": null,
  "country": null,
  "remote": null,
  "salaryCurrency": null,
  "salaryMin": null,
  "salaryMax": null,
  "salaryUnit": null,
  "identifier": null,
  "scrapedAt": "2026-11-03T04:58:57.521Z"
}
```

#### Output fields

| Field | Description |
|---|---|
| `url` | Page the record was found on |
| `type` | schema.org type (JobPosting) |
| `title` | title |
| `description` | description |
| `datePosted` | date posted |
| `validThrough` | valid through |
| `employmentType` | employment type |
| `company` | company |
| `companyUrl` | company url |
| `location` | location |
| `region` | region |
| `country` | country |
| `remote` | remote |
| `salaryCurrency` | salary currency |
| `salaryMin` | salary min |
| `salaryMax` | salary max |
| `salaryUnit` | salary unit |
| `identifier` | identifier |
| `scrapedAt` | ISO timestamp |

### Pricing

Pay per result: **$1.60 per 1,000 job posting records**, plus a tiny per-run start fee. There is no monthly rental, and you can cap spend per run with **Maximum cost per run**.

### Integrations and API

Run it from the [Apify API](https://docs.apify.com/api/v2), the JavaScript/Python clients, Make, Zapier, n8n, LangChain or any MCP-compatible AI agent, and send results to Google Sheets, webhooks, S3 and more.

### FAQ

**Which websites does it work on?** Any public page that embeds schema.org `JobPosting` data. If a page has no such markup, the Actor returns no record for it, and you are not charged.

**Is it legal to scrape job posting data?** This Actor only reads publicly available pages, obeys robots.txt and crawl-delay, and does not log in or bypass protections. You are responsible for complying with each website's terms and with applicable laws (copyright, GDPR) for how you use the data.

**Can it scrape JavaScript-only pages?** It reads the server-rendered HTML, where structured data almost always lives. Pages that inject markup only via client-side JavaScript are not supported.

**I need a field or site that is not supported.** Open an issue on the Actor's Issues tab. Requests are reviewed regularly and drive new features.

# Actor input Schema

## `startUrls` (type: `array`):

Pages containing job posting data (schema.org JobPosting).

## `maxItems` (type: `integer`):

Stop after this many records.

## `crawl` (type: `boolean`):

Follow same-site links from the start URLs.

## `maxPagesPerCrawl` (type: `integer`):

Only used when crawling.

## `linkPattern` (type: `string`):

Only follow links matching this regular expression, e.g. /recipes/ (max 200 characters, no nested quantifiers).

## `maxConcurrency` (type: `integer`):

Parallel requests (politeness delay per host always applies).

## `proxyConfiguration` (type: `object`):

Optional proxy.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://jobs.lever.co/spotify/03437e2a-2d5e-4593-9e97-11271014932e"
    }
  ],
  "maxItems": 100,
  "crawl": false,
  "maxPagesPerCrawl": 50,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `results` (type: `string`):

Extracted job posting records (one per page and item), as JSON, CSV or Excel.

## `runSummary` (type: `string`):

Pages visited, items extracted, pages skipped by robots.txt and errors.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://jobs.lever.co/spotify/03437e2a-2d5e-4593-9e97-11271014932e"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("rocketyard/jobposting-schema-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://jobs.lever.co/spotify/03437e2a-2d5e-4593-9e97-11271014932e" }] }

# Run the Actor and wait for it to finish
run = client.actor("rocketyard/jobposting-schema-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://jobs.lever.co/spotify/03437e2a-2d5e-4593-9e97-11271014932e"
    }
  ]
}' |
apify call rocketyard/jobposting-schema-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rocketyard/jobposting-schema-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Ws9OqN6AChCaxWvpF/builds/GoThpGoXqE6LcSH3V/openapi.json