# Google Jobs Scraper - Live Job Postings & Salary Data (`dev00/google-jobs-leads-scraper-api`) Actor

Extract real-time Google Jobs postings with direct apply links, normalized salary min/max, remote status, and full descriptions.

- **URL**: https://apify.com/dev00/google-jobs-leads-scraper-api.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** Jobs, Business, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 scraped job leads

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?

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 - Live Job Postings & Salary Data

> 🚀 **The Fast, Reliable, Real-Time Google Jobs Scraper & Search Aggregator on Apify.**

Extract real-time job listings from **Google Jobs** (aggregating LinkedIn, Indeed, Glassdoor, ZipRecruiter, and direct corporate career portals). Extract structured salary min/max, employment contract types, remote work tags, application links, and complete job descriptions.

***

### ⚡ Key Features

1. **Global Real-Time Google Jobs Aggregation**:
   Search millions of live job postings indexed across LinkedIn, Indeed, ZipRecruiter, Glassdoor, and company career sites.
2. **Structured Salary Min/Max Breakdown**:
   Normalizes messy salary strings into numeric `min_salary`, `max_salary`, `currency`, and `period: YEARLY/HOURLY/MONTHLY`.
3. **Granular Search Filters**:
   Filter by date posted (`today`, `3days`, `week`, `month`), employment contract (`fulltime`, `parttime`, `contractor`, `intern`), and remote positions.
4. **Direct & Portal Apply Links**:
   Get direct corporate career page application links alongside portal links (LinkedIn, Indeed, ZipRecruiter).
5. **Global Multi-Country Coverage**:
   Supports all Google regional domains (US, UK, Germany, France, Canada, Australia, etc.) and interface languages.

***

### 📥 Input Configuration

| Parameter | Type | Default | Description |
| :--- | :---: | :---: | :--- |
| `queries` | `Array<string>` | `["Python Developer"]` | List of job titles or search terms to scrape. |
| `location` | `string` | `""` | Target city, state, or country (e.g. `"London, UK"`, `"New York, NY"`). |
| `maxJobs` | `integer` | `20` | Maximum number of job postings to extract per query. |
| `datePosted` | `string` | `"all"` | Filter: `"all"`, `"today"`, `"3days"`, `"week"`, `"month"`. |
| `employmentType` | `string` | `"all"` | Filter: `"all"`, `"fulltime"`, `"parttime"`, `"contractor"`, `"intern"`. |
| `isRemote` | `boolean` | `false` | Filter exclusively for remote / work-from-home positions. |
| `language` | `string` | `"en"` | Google interface language (`en`, `es`, `fr`, `de`). |
| `country` | `string` | `"us"` | Google country code (`us`, `uk`, `fr`, `de`, `ca`, `au`). |

***

### 📤 Output Dataset Example

```json
{
  "title": "Senior Python Developer",
  "company_name": "Stripe",
  "company_domain": "stripe.com",
  "company_logo": "https://logo.clearbit.com/stripe.com",
  "location": "London, UK",
  "country_code": "UK",
  "is_remote": true,
  "employment_type": "FULL_TIME",
  "posted_at_datetime": "2026-08-26T14:30:00Z",
  "posted_human_readable": "1 day ago",
  "salary": {
    "raw_salary": "£95,000 - £135,000 a year",
    "currency": "GBP",
    "currency_symbol": "£",
    "min_salary": 95000,
    "max_salary": 135000,
    "period": "YEARLY"
  },
  "description": "We are looking for an exceptional Senior Python Developer to join our core payments infrastructure team at Stripe...",
  "apply_options": [
    { "publisher": "Stripe", "apply_link": "https://stripe.com/careers/jobs/12345", "is_direct": true },
    { "publisher": "LinkedIn", "apply_link": "https://www.linkedin.com/jobs/view/987654321", "is_direct": false }
  ],
  "share_link": "https://www.google.com/search?ibp=htl;jobs#fpstate=tldetail&htidocid=job_123",
  "google_jobs_url": "https://www.google.com/search?q=Senior+Python+Developer+Stripe&ibp=htl;jobs"
}
```

# Actor input Schema

## `queries` (type: `array`):

List of job titles or search terms (e.g. \['Python Developer', 'DevOps Engineer', 'Marketing Manager']).

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

Target city, state, or country (e.g. 'London, UK', 'New York, NY', 'Berlin, Germany'). Leave empty for global.

## `maxJobs` (type: `integer`):

Maximum number of job listings to extract per search query.

## `datePosted` (type: `string`):

Filter listings by when they were posted.

## `employmentType` (type: `string`):

Filter by job contract type.

## `isRemote` (type: `boolean`):

Filter exclusively for remote / work-from-home positions.

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

Google interface language code (e.g. 'en', 'es', 'fr', 'de').

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

Google regional country domain (e.g. 'us', 'uk', 'fr', 'de', 'ca', 'au').

## Actor input object example

```json
{
  "queries": [
    "Python Developer",
    "React Developer"
  ],
  "location": "London, UK",
  "maxJobs": 20,
  "datePosted": "all",
  "employmentType": "all",
  "isRemote": false,
  "language": "en",
  "country": "us"
}
```

# Actor output Schema

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

No description

## `keyValueStoreResult` (type: `string`):

No description

# 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 = {
    "queries": [
        "Python Developer",
        "React Developer"
    ],
    "location": "London, UK"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/google-jobs-leads-scraper-api").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 = {
    "queries": [
        "Python Developer",
        "React Developer",
    ],
    "location": "London, UK",
}

# Run the Actor and wait for it to finish
run = client.actor("dev00/google-jobs-leads-scraper-api").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 '{
  "queries": [
    "Python Developer",
    "React Developer"
  ],
  "location": "London, UK"
}' |
apify call dev00/google-jobs-leads-scraper-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/google-jobs-leads-scraper-api"
        }
    }
}

```

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/Id4c0BL4taBzHue5x/builds/9jf0nOfW4OLbc9GOn/openapi.json