# Google Jobs Scraper (`scrapers-hub/google-jobs-scraper`) Actor

Google Jobs scraper to extract job listings, company names, job titles, locations, salaries (when available), posting dates, and other publicly available job details from Google Jobs 💼📊 Perfect for job market research, recruitment, lead generation, and employment trend analysis.

- **URL**: https://apify.com/scrapers-hub/google-jobs-scraper.md
- **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Google Jobs Scraper (Apify Actor)

Scrapes Google Jobs (`udm=8`) listings and outputs SerpApi-compatible records to
the Actor dataset. Rendering is done with Playwright/Chromium behind Apify
residential proxies (Google blocks datacenter IPs with a captcha wall).

### Input

| Field | Type | Description |
|---|---|---|
| `query` | string | What to search for (e.g. `Software Engineer`). Ignored if `url` is set. |
| `url` | string | A ready-made Google Jobs URL — overrides `query`. |
| `location` | string | City / state / country to bias the search. |
| `country` | enum | Google country code (`us`, `ca`, `uk`, …). |
| `language` | string | Interface language (`hl`), e.g. `en`. |
| `googleDomain` | string | Google domain, e.g. `google.com`. |
| `maxItems` | integer | Max jobs to collect (10–1000). |
| `maxPagination` | integer | Scroll rounds; `0` = until `maxItems`. |
| `includeLrad` / `lradValue` | boolean / string | Location-radius filter (km). |
| `maxDelay` | integer | Seconds between scroll rounds (0–10). |
| `engine` | enum | `auto` | `browser` | `requests`. |
| `debug` | boolean | Dump debug HTML/screenshots. |
| `proxyConfiguration` | object | Proxy settings (defaults to Apify RESIDENTIAL). |

### Output

Each dataset item is one job: `title`, `company_name`, `location`, `via`,
`share_link`, `source_link`, `description`, `apply_options`, `detected_extensions`,
`job_id`, and search metadata — matching the SerpApi Google Jobs shape.

### Local run

```bash
pip install -r requirements.txt
playwright install chromium
apify run            # via the Apify CLI, or:
python -m src.main   # reads input from ./storage/key_value_stores/default/INPUT.json
```

### Architecture

`app.py` holds the standalone scraper (still runnable as a CLI). `src/main.py` is
the Apify wrapper: it resolves a proxy URL from the Actor proxy configuration,
runs the synchronous Playwright scraper in a worker thread, and streams each job
to the dataset live via `Actor.push_data`.

# Actor input Schema

## `query` (type: `string`):

What to search for, e.g. "Software Engineer". Ignored if a direct URL is given.

## `url` (type: `string`):

A ready-made Google Jobs / Google search URL. Overrides the query when set.

## `location` (type: `string`):

City / state / country to bias the search, e.g. "San Francisco, CA".

## `country` (type: `string`):

Google country code (gl).

## `language` (type: `string`):

Interface language code (hl), e.g. "en".

## `googleDomain` (type: `string`):

Google domain to hit, e.g. "google.com" or "google.ca".

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

Maximum number of jobs to collect (10-1000).

## `maxPagination` (type: `integer`):

0 = scroll until maxItems (or no more results).

## `includeLrad` (type: `boolean`):

Apply a location-radius (lrad) filter.

## `lradValue` (type: `string`):

Radius in km; only used when the location-radius filter is enabled.

## `maxDelay` (type: `integer`):

Pause between scroll rounds (0-10).

## `engine` (type: `string`):

Rendering engine. "browser" (Playwright) is the real path for udm=8; "requests" is legacy.

## `debug` (type: `boolean`):

Dump debug HTML/screenshots to the key-value store.

## Actor input object example

```json
{
  "query": "Software Engineer",
  "country": "us",
  "language": "en",
  "googleDomain": "google.com",
  "maxItems": 100,
  "maxPagination": 0,
  "includeLrad": false,
  "lradValue": "5",
  "maxDelay": 1,
  "engine": "auto",
  "debug": false
}
```

# 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 = {
    "query": "Software Engineer"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers-hub/google-jobs-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 = { "query": "Software Engineer" }

# Run the Actor and wait for it to finish
run = client.actor("scrapers-hub/google-jobs-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "query": "Software Engineer"
}' |
apify call scrapers-hub/google-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapers-hub/google-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/z0CoKIG4hoEW1Ivk4/builds/P5mdUT7G3Fb01peD6/openapi.json