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

Scrapes Google Jobs for any job title/location. Extracts job title, company, location, workplace/employment type, salary, description, posted/expires dates, apply URL, and more.

- **URL**: https://apify.com/searchapi/google-jobs-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 0 monthly users, 96.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 google jobs scraper 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

Scrapes Google Jobs for any job title/location. Extracts job title, company, location, workplace/employment type, salary, description, posted/expires dates, apply URL, and more.

### What this Actor collects

The Actor converts Google Jobs results into one clean JSON record per job, including employer, location, workplace and employment type, salary, description, posting and expiry dates, application links, qualifications, and search provenance when available.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 66-field dataset schema.
- Omits optional fields when the source does not expose a value instead of writing nulls or fabricated placeholders.

### Use cases

- Hiring-market research
- Role and employer monitoring
- Job-board enrichment

### Input

Provide input in JSON. Fields marked required must be supplied. The Default / example column shows a schema default when one exists; otherwise it shows a documented prefill or fixture value.

| Field | Type | Required | Default / example | Description |
| --- | --- | :---: | --- | --- |
| `query` | string | Yes | `"software engineer"` | Job title or keywords to enter in Google Jobs. |
| `location` | string | No | `"New York, NY"` | City, state, region, or country to include in the search. |
| `queries` | array | No | — | Optional additional keywords processed after the primary query. |
| `maxItems` | integer | No | `50` | Stop after this many unique jobs. |
| `gl` | string | No | `"us"` | Two-letter country code used to localize Google results. |
| `hl` | string | No | `"en"` | Language code used for the Google Jobs interface. |
| `experienceLevel` | string | No | `""` | Optional minimum experience level filter. |
| `salaryMin` | number | No | — | Optional minimum salary filter. |
| `salaryMax` | number | No | — | Optional maximum salary filter. |
| `remoteFilter` | string | No | `""` | Optional remote, hybrid, or on-site filter. |
| `educationLevel` | string | No | `""` | Optional minimum education filter. |
| `maxScrolls` | integer | No | `10` | Maximum number of result-list scrolls used to load more jobs. |
| `maxRequestRetries` | integer | No | `3` | Retry temporary navigation, proxy, and block failures up to this many times. |
| `navigationTimeoutSecs` | integer | No | `60` | Maximum time allowed for the Google Jobs page navigation. |
| `requestHandlerTimeoutSecs` | integer | No | `300` | Maximum time allowed to load, expand, and extract one search page. |
| `detailTimeoutSecs` | integer | No | `12` | Maximum time allowed for an individual job detail panel to open. |
| `proxyConfiguration` | object | No | `{"useApifyProxy":true,"apifyProxyGroups":["GOOGLE_SERP"]}` | Apify Proxy or custom proxy configuration. Residential or Google SERP access is recommended for Google Jobs. |
| `debug` | boolean | No | `false` | Log selector counts and non-sensitive extraction diagnostics. |

#### Example input

```json
{
  "query": "software engineer",
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  },
  "location": "New York, NY",
  "gl": "us",
  "hl": "en"
}
```

### Output

The default dataset contains one item per job listing. The following are the most useful fields; salary, qualifications, benefits, expiry, and application details depend on the listing.

| Field | Type | Description |
| --- | --- | --- |
| `position` | integer | Position |
| `title` | string | Title |
| `company` | string | Company |
| `location` | string | Location |
| `employmentType` | string | Employment Type |
| `salary` | string | Salary |
| `postedAtRaw` | string | Posted At Raw |
| `via` | string | Listed Via |
| `applyUrl` | string | Primary Apply URL |
| `scrapedAt` | string | Scraped At |
| `type` | string | Type |
| `description` | string | Description |
| `url` | string | URL |
| `link` | string | Link |
| `source` | string | Source |
| `query` | string | Query |

<details>
<summary>All 66 declared dataset fields</summary>

`type`, `resultType`, `position`, `jobId`, `title`, `jobTitle`, `company`, `companyDetails`, `companyLogo`, `location`
`city`, `state`, `country`, `remote`, `workplaceType`, `employmentType`, `employmentTypes`, `salary`, `salaryDetails`, `salaryMin`
`salaryMax`, `salaryCurrency`, `salaryPeriod`, `description`, `descriptionHtml`, `locations`, `jobLocationType`, `applicantLocationRequirements`, `datePosted`, `validThrough`
`skills`, `educationRequirements`, `experienceRequirements`, `industry`, `occupationalCategory`, `directApply`, `applicationUrl`, `applicationLinks`, `googleJobUrl`, `sourceSite`
`locale`, `requestedFilters`, `retrieval`, `structuredData`, `responsibilities`, `qualifications`, `benefits`, `highlightedBenefits`, `postedAt`, `postedAtRaw`
`applyUrl`, `applyType`, `applyLinks`, `jobUrl`, `url`, `link`, `source`, `sourceDomain`, `via`, `searchUrl`
`searchMetadata`, `searchQuery`, `query`, `searchLocation`, `language`, `scrapedAt`

</details>

#### Example dataset item

This compact example is taken from local Actor storage. Long text and nested collections are shortened for documentation only.

```json
{
  "position": 1,
  "title": "Software Engineer",
  "company": "Secureframe",
  "location": "New York, NY",
  "employmentType": "Hybrid",
  "salary": "$120,000 - $180,000 a year",
  "postedAtRaw": "2025-08-06T00:00:00.000Z",
  "via": "jobs.lever.co",
  "applyUrl": "https://jobs.lever.co/secureframe/a55bbed2-c0f0-40b6-89c0-70b7e90365d8",
  "scrapedAt": "2026-07-25T14:36:26.156Z",
  "type": "job",
  "description": "At Secureframe, we are not just a company; we are at the forefront of revolutionizing cybersecurity compliance. Recognized as one of the industry's most innovative and trusted pro…"
}
```

### Related Actors

- [Google About This Result Scraper](https://apify.com/searchapi/google-about-this-result-scraper)
- [Google AI Overview Scraper](https://apify.com/searchapi/google-ai-overview-scraper)
- [Google Autocomplete Scraper](https://apify.com/searchapi/google-autocomplete-scraper)

# Actor input Schema

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

Job title or keywords to enter in Google Jobs.

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

City, state, region, or country to include in the search.

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

Optional additional keywords processed after the primary query.

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

Stop after this many unique jobs.

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

Two-letter country code used to localize Google results.

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

Language code used for the Google Jobs interface.

## `experienceLevel` (type: `string`):

Optional minimum experience level filter.

## `salaryMin` (type: `number`):

Optional minimum salary filter.

## `salaryMax` (type: `number`):

Optional maximum salary filter.

## `remoteFilter` (type: `string`):

Optional remote, hybrid, or on-site filter.

## `educationLevel` (type: `string`):

Optional minimum education filter.

## `maxScrolls` (type: `integer`):

Maximum number of result-list scrolls used to load more jobs.

## `maxRequestRetries` (type: `integer`):

Retry temporary navigation, proxy, and block failures up to this many times.

## `navigationTimeoutSecs` (type: `integer`):

Maximum time allowed for the Google Jobs page navigation.

## `requestHandlerTimeoutSecs` (type: `integer`):

Maximum time allowed to load, expand, and extract one search page.

## `detailTimeoutSecs` (type: `integer`):

Maximum time allowed for an individual job detail panel to open.

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

Apify Proxy or custom proxy configuration. Residential or Google SERP access is recommended for Google Jobs.

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

Log selector counts and non-sensitive extraction diagnostics.

## Actor input object example

```json
{
  "query": "software engineer",
  "location": "New York, NY",
  "maxItems": 50,
  "gl": "us",
  "hl": "en",
  "experienceLevel": "",
  "remoteFilter": "",
  "educationLevel": "",
  "maxScrolls": 10,
  "maxRequestRetries": 3,
  "navigationTimeoutSecs": 60,
  "requestHandlerTimeoutSecs": 300,
  "detailTimeoutSecs": 12,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  },
  "debug": false
}
```

# Actor output Schema

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

Normalized Google Jobs listings and expanded job details.

# 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, NY",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "GOOGLE_SERP"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/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, NY",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["GOOGLE_SERP"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("searchapi/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",
  "location": "New York, NY",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  }
}' |
apify call searchapi/google-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/nKs5SBo2EHCZquC64/builds/T8seuowW9VoPeLwpY/openapi.json