# Google Premium Jobs Scraper (`jobscrawler/google-premium-jobs-scraper`) Actor

Scrape job listings from Google Jobs (via Google Search) by keyword and location with country and language targeting. Extracts job title, company, location, salary range, job type, date posted, and application URL — perfect for job market research and recruitment intelligence.

- **URL**: https://apify.com/jobscrawler/google-premium-jobs-scraper.md
- **Developed by:** [Jobs Scraper](https://apify.com/jobscrawler) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% 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/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 Premium Jobs Scraper

Collect Google Premium Jobs listings with comprehensive details such as job title, hiring company, workplace location, compensation data, and full job descriptions.

### Features

- **Advanced job discovery** — scrape job listings using keywords, skills, or targeted search queries
- **Regional filtering** — target specific cities, states, regions, or countries
- **Adjustable extraction limits** — customize the amount of data collected per crawl
- **Compensation insights** — extracts available salary and pay information
- **Apify cloud compatible** — designed for automated runs, proxy management, and webhook workflows

### Use Cases

- Labor market analytics — study employment demand, skill requirements, and compensation trends
- Recruitment workflow automation — streamline job discovery and sourcing processes
- Company hiring monitoring — track openings and recruitment activity for specific organizations
- Location-based hiring insights — compare job growth and hiring demand across cities and regions

### Example Input

```json
{
    "query": "software engineer",
    "location": "San Francisco",
    "maxItems": 5,
    "gl": "us",
    "hl": "en",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}
```

#### Example Output

```json
{
  "type": "webResult",
  "position": 1,
  "jobTitle": "Software Engineer jobs in San Francisco, CA",
  "company": "Stripe",
  "location": "San Francisco, CA (Hybrid)",
  "source": "LinkedIn",
  "datePosted": "3 days ago",
  "jobType": "Full-time",
  "salary": "$180,000 – $240,000 a year",
  "applyLink": "https://www.linkedin.com/jobs/view/1234567890",
  "applyLinks": ["https://www.linkedin.com/jobs/view/1234567890"],
  "jobUrl": "https://www.google.com/search?q=senior+software+engineer&ibp=htl;jobs#fpstate=tldetail&htivrt=jobs&htiq=senior+software+engineer&id=AAAA",
  "searchQuery": "senior software engineer",
  "searchLocation": "San Francisco",
  "page": 1,
  "scrapedAt": "2025-01-15T10:30:00.000Z"
}
```

### Transparent indexed fallback

If the direct Google Jobs surface is blocked or yields no usable records, the Actor calls Apify's official Google Search Scraper and returns the public job-result URLs found in Google's organic index. Fallback rows are labelled `extractionMethod: "indexed_search_fallback"` and `extractionStatus: "indexed_listing_only"`; fields not available in the index are left empty rather than invented. This child run consumes additional Apify platform usage, and `fallbackRunId` records its source run.

# Actor input Schema

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

Job title or keywords to search for

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

Job location (city, state, country)

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

Maximum number of job listings to scrape

## `gl` (type: `string`):

Country code for localized results

## `hl` (type: `string`):

Language code

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

Use Apify Proxy or custom proxy

## Actor input object example

```json
{
  "query": "software engineer",
  "location": "San Francisco",
  "maxItems": 50,
  "gl": "us",
  "hl": "en",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing the real public job records extracted by this Actor.

## `files` (type: `string`):

Key-value store containing RUN\_SUMMARY and optional extraction diagnostics.

# 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",
    "location": "San Francisco",
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("jobscrawler/google-premium-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",
    "location": "San Francisco",
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("jobscrawler/google-premium-jobs-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 '{
  "query": "software engineer",
  "location": "San Francisco",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call jobscrawler/google-premium-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jobscrawler/google-premium-jobs-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/pVW6ZQ6f9Q2bXLOQV/builds/h5cqFc5FoEN9FGxKY/openapi.json
