# Google Jobs Scraper: Salaries, Descriptions & Apply Links (`wulfcare/google-jobs-scraper`) Actor

Scrape Google Jobs: title, company, location, salary, job type, posted date, full description, highlights and every real apply link (LinkedIn, Indeed, company site...). Up to 200 unique jobs per search, 27 countries.

- **URL**: https://apify.com/wulfcare/google-jobs-scraper.md
- **Developed by:** [Wulfcare Data](https://apify.com/wulfcare) (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 $4.00 / 1,000 job postings

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?

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

## Google Jobs Scraper

Get job postings from **Google Jobs**, the job search built into Google that pulls listings from LinkedIn, Indeed, Glassdoor, company career sites and hundreds of other boards, in one place.

For every job you get the **title, company, location, salary, job type, when it was posted, the full description, Google's highlights, and every real apply link**, decoded from Google's redirects to the actual LinkedIn, Indeed or company-site URL.

### What people use it for

- **Recruiting and lead generation**: find companies hiring for a role in a city, then reach out
- **Job boards and aggregators**: fill your board with fresh postings and direct apply links
- **Salary research**: compare advertised pay for a role across cities and countries
- **Labour-market analysis**: track who's hiring, for what, and how fast postings appear
- **Job hunting at scale**: every data analyst role in London in one spreadsheet

### What you get

One dataset item per job:

```json
{
  "query": "data analyst jobs london",
  "title": "Data Analyst (Forecasting & Modelling)",
  "company": "ADLIB",
  "location": "London",
  "via": "LinkedIn",
  "postedAgo": "15 hours ago",
  "postedAt": "2026-09-22T21:36:21+00:00",
  "salary": "£50k-£60k a year",
  "jobType": "Full-time",
  "degree": "No degree mentioned",
  "applyUrl": "https://www.linkedin.com/jobs/view/...",
  "applyOptions": [
    { "source": "LinkedIn", "url": "https://www.linkedin.com/jobs/view/...", "domain": "linkedin.com", "direct": false },
    { "source": "Glassdoor", "url": "https://www.glassdoor.co.uk/job-listing/...", "domain": "glassdoor.co.uk", "direct": false }
  ],
  "highlights": {
    "qualifications": ["Strong SQL and Python", "..."],
    "responsibilities": ["Build forecasting models", "..."]
  },
  "description": "Full job description text...",
  "googleJobId": "fp-15naIGX8TWE2oAAAAAA==",
  "country": "GB",
  "scrapedAt": "2026-09-23T12:30:00+00:00"
}
```

- `applyUrl` is the employer's own site when Google lists one ("Apply directly"), otherwise the first job board.
- `salary`, `postedAgo`, `degree` and `highlights` appear when the posting includes them. In tests, about half of postings had a salary and every one had a description and apply link.

### How to use it

1. Add your **searches**, one per line, the way you'd type them into Google: `nurse jobs new york`, `remote python developer`, `software entwickler berlin`.
2. Pick the **country**. It decides which Google is searched (google.co.uk, google.de…).
3. Set **max jobs per search**. Leave **Expand results** on for more than 10.
4. Run it and export to JSON, CSV or Excel, or use the API.

### How "Expand results" works

Google only shows 10 jobs per search. With **Expand results** on, the scraper also runs natural variations of your search (full time, senior, entry level, posted this week, remote…) and removes duplicates using Google's own job ID, which typically gives **40-80 unique jobs per search**. It stops early once a search stops producing new jobs.

### Pricing

You pay **per unique job** returned. Duplicates, failed searches and searches where Google shows no jobs are never charged. The Google searches themselves run on Apify's Google SERP proxy, which Apify bills on your account at its usual SERP rate.

### Limits

- **Google Jobs isn't offered everywhere.** It works for the US, UK, Europe, India and more. In tests, **Australia and New Zealand returned normal web results instead of jobs**. When that happens the run tells you (`noJobsView: true`) and charges nothing.
- Put the place in your search (`… jobs london`). The country setting picks Google's country, not the city.
- Google decides which postings to show, so results reflect what Google Jobs indexes.

# Actor input Schema

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

What you'd type into Google, one per line, e.g. <code>data analyst jobs london</code> or <code>remote python developer</code>. Include the place in the search.

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

Which country's Google to search. Google Jobs isn't offered for every country; Australia and New Zealand usually return no jobs view.

## `maxJobsPerQuery` (type: `integer`):

Unique jobs to return per search. Google shows 10 at a time, so more than 10 needs 'Expand results'.

## `expandResults` (type: `boolean`):

Google only shows 10 jobs per search. This runs natural variations (full time, senior, posted this week, remote...) and removes duplicates, for typically 40-80 unique jobs per search. You're only charged for unique jobs.

## `includeDescription` (type: `boolean`):

The full posting text. Turn off for smaller, faster output.

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

Google interface language, e.g. en, de, fr, es.

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

How many Google searches run at once.

## Actor input object example

```json
{
  "queries": [
    "data analyst jobs london",
    "nurse jobs new york"
  ],
  "country": "US",
  "maxJobsPerQuery": 30,
  "expandResults": true,
  "includeDescription": true,
  "language": "en",
  "maxConcurrency": 3
}
```

# Actor output Schema

## `jobs` (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": [
        "data analyst jobs london",
        "nurse jobs new york"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("wulfcare/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 = { "queries": [
        "data analyst jobs london",
        "nurse jobs new york",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("wulfcare/google-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 '{
  "queries": [
    "data analyst jobs london",
    "nurse jobs new york"
  ]
}' |
apify call wulfcare/google-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wulfcare/google-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/b1uVEVoNImamkvmS3/builds/faXO5y89Rqx2Avllk/openapi.json