# Google Jobs Scraper - Job Listings & Salaries (`sweet_stickball/google-jobs-scraper`) Actor

Scrape Google Jobs (Google for Jobs) listings: title, company, location, salary, job source, apply links and posting date. Google Jobs scraper for job aggregation and hiring market research.

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

## Pricing

from $3.80 / 1,000 job listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 - Job Listings & Salaries

Scrape **Google for Jobs** enriched results — the job listing widget that Google shows directly in search results. Returns structured data including job title, company, location, salary, source job board, posting URL, and date in flat JSON.

### Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `query` | string | Yes | — | Job search query (e.g. "software engineer") |
| `location` | string | No | — | Location filter (e.g. "New York", "Remote") |
| `maxItems` | integer | No | 50 | Maximum job listings to return (1–1000) |
| `language` | string | No | "en" | Language code for results |

### Output

```json
{
    "jobId": "aBcD1234EfGh5678AAAAAA==",
    "title": "Senior Software Engineer, Infrastructure",
    "company": "Example Corp",
    "location": "Raleigh, NC",
    "salary": "$174K–$252K a year",
    "source": "Indeed",
    "url": "https://www.indeed.com/viewjob?jk=0123456789abcdef",
    "date": "7 days ago",
    "description": "Minimum qualifications: ...",
    "employmentType": "Full-time",
    "qualification": "No degree mentioned",
    "googleJobsUrl": "https://www.google.com/search?ibp=htl;jobs&q=...&htidocid=...",
    "applyLinks": [
        {"source": "Indeed", "url": "https://www.indeed.com/viewjob?jk=0123456789abcdef"},
        {"source": "LinkedIn", "url": "https://www.linkedin.com/jobs/view/..."}
    ],
    "query": "software engineer",
    "scrapedAt": "2026-10-21T06:31:04+00:00"
}
```

- `url` is the first apply link (falls back to the Google Jobs link); `applyLinks` lists every job board offering the posting.
- `date` is Google's relative posting age (e.g. "3 days ago").

### How it works

The Actor sends browser-like requests through Apify Proxy (`GOOGLE_SERP` group, US exit IPs) and parses the server-rendered Google Jobs page. Google serves one page of 10 jobs per query (more jobs are only loaded by in-page JavaScript), so to go beyond 10 results the Actor runs refinements of the same query (`full time`, `remote`, `senior`, `entry level`, ...) and de-duplicates jobs by Google job id. Google sometimes answers with an empty Jobs page or blocks a request; the Actor then retries with a new proxy session.

### Limitations

- Google returns 10 jobs per search. Beyond that the Actor refines the query, so a large `maxItems` may return fewer jobs than requested (and later jobs match refined queries such as "remote" or "senior").
- Without a `location`, results lean to the proxy's region (US).
- `date` is relative and `salary` is only present when Google shows it.
- A run that finds no jobs ends as **FAILED**.

### Pricing

Pay-per-event, **no start fee**: **$6.30 per 1,000 job listings** on the Apify Free plan, with lower prices on paid plans. Each job listing pushed to the dataset is one event.

| Event | Free | Starter | Scale | Business | Enterprise |
|-------|------|---------|-------|----------|------------|
| Job listing (`RESULT`) | $6.30 | $5.40 | $4.70 | $3.80 | $3.80 |

Prices in USD per 1,000 events.

### Features

- **Multi-source aggregation** — jobs from LinkedIn, Indeed, Glassdoor and more via Google
- **Job details** — description, salary (when shown), employment type and all apply links
- **Flat JSON output** — all fields at top level for easy processing

### Related Actors

- [Indeed Jobs Scraper - Job Listings & Salaries](https://apify.com/sweet_stickball/indeed-job-scraper) — Scrape Indeed job listings: title, company, location, salary, job type, snippet and job URL, on Indeed US, UK, FR, DE, CA and AU.
- [Glassdoor Scraper - Company Reviews & Salaries](https://apify.com/sweet_stickball/glassdoor-scraper) — Scrape Glassdoor company reviews and salary ranges by company name or URL: rating, sub-ratings, title, pros, cons, advice, job title, date, plus typical pay per job title.
- [Google Trends Scraper - Interest Over Time & Related Queries](https://apify.com/sweet_stickball/google-trends-scraper) — Scrape Google Trends: interest over time and related queries for up to 5 compared keywords, by country, time range and category.

# Actor input Schema

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

Job search query. Examples: 'software engineer', 'data scientist', 'marketing manager'

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

Job location filter. Examples: 'New York', 'London', 'Remote'

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

Maximum number of job listings to scrape. Google Jobs shows ~10 results per page.

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

Language code for results (e.g. 'en', 'fr', 'de').

## Actor input object example

```json
{
  "query": "software engineer",
  "location": "New York",
  "maxItems": 10,
  "language": "en"
}
```

# Actor output Schema

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

Dataset items shown with the 'results' view.

# 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": "New York",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("sweet_stickball/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",
    "location": "New York",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("sweet_stickball/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 '{
  "query": "software engineer",
  "location": "New York",
  "maxItems": 10
}' |
apify call sweet_stickball/google-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,sweet_stickball/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/yXUKBza28EhGJ8lxC/builds/Zsvd7sYbGnGwPDJHG/openapi.json