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

Scrape Google Jobs listings by keyword and location - job title, employer, salary, contract type, posting date, and apply links in one row per job.

- **URL**: https://apify.com/seemuapps/google-jobs-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Jobs, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 1,000 job scrapeds

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/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

Search Google Jobs by keyword and location and get every listing as clean, structured data — job title, employer, salary, contract type, posting date, and apply links. No login, no proxies, no browser automation.

### What you get

For every job posting, the scraper returns:

- **Job title and employer name** — plus the employer's website and logo URL where Google shows them
- **Location** — as displayed in Google Jobs, with a `workFromHome` flag when the listing is remote/"Anywhere"
- **Salary** — the raw compensation string when the posting includes one (`null` when it doesn't)
- **Contract type** — Full-time, Part-time, Contractor, Internship
- **Posting date** — both an exact UTC timestamp (`postedAt`) and the relative label (`timeAgo`, e.g. "3 days ago")
- **Apply links** — the source job board (`sourceName`) and a direct URL to the original posting, plus an `applyLinks` array ready for automation
- **Stable `jobId`** and a `googleJobsUrl` deep link back to the listing on Google
- Results are deduplicated by job ID within the run — one clean row per posting
- Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console

### Use cases

- **Recruiting pipelines** — feed fresh openings for target roles and cities straight into your ATS or outreach tooling
- **Job-board building** — aggregate listings across sources into one deduplicated feed for your niche job site
- **Labor-market research** — track posting volume, contract mix, and remote share for any role or region over time
- **Competitor hiring signals** — monitor which roles competitors are opening, where, and how fast they repost
- **Salary benchmarking** — collect advertised salary strings at scale to benchmark compensation by title and location

### How to use

1. Enter one or more **Search queries** (e.g. `software engineer`, `registered nurse`) — one search per line
2. Set the **Location** (a country, state, or city — e.g. `United States` or `London,England,United Kingdom`) and **Language**
3. Choose **Results per query** (default 20, up to 100) and an optional **Max Items** cap across all queries
4. Run the actor — results appear in the **Dataset** tab, one job per row
5. Export, or schedule the actor to run daily and diff new postings

### Output format

Each dataset record:

```json
{
  "query": "software engineer",
  "title": "Senior Software Engineer",
  "employerName": "Acme Corp",
  "location": "Austin, TX",
  "salary": "120K–160K a year",
  "contractType": "Full-time",
  "workFromHome": null,
  "postedAt": "2026-07-14 21:44:32 +00:00",
  "timeAgo": "11 hours ago",
  "sourceName": "LinkedIn",
  "sourceUrl": "https://www.linkedin.com/jobs/view/...",
  "applyLinks": [
    { "source": "LinkedIn", "url": "https://www.linkedin.com/jobs/view/..." }
  ],
  "jobId": "DfhOEnE2FFkAAAAAAAAAAA==",
  "googleJobsUrl": "https://www.google.com/search?q=software%20engineer&ibp=htl;jobs#htivrt=jobs&htidocid=..."
}
```

# Actor input Schema

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

Job search queries, one per line (e.g. 'software engineer', 'registered nurse'). Each query runs as its own Google Jobs search.

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

Where to search — a country, state, or city name (e.g. 'United States', 'London,England,United Kingdom').

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

Two-letter language code for the search results (e.g. 'en', 'de', 'es').

## `depth` (type: `integer`):

How many job listings to fetch for each query (max 100).

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

Maximum total number of jobs to return across all queries. Set 0 for no limit.

## Actor input object example

```json
{
  "queries": [
    "software engineer"
  ],
  "location": "United States",
  "language": "en",
  "depth": 20,
  "maxItems": 0
}
```

# Actor output Schema

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

One record per job posting: query, title, employerName, location, salary, contractType, workFromHome, postedAt, timeAgo, sourceName, sourceUrl, applyLinks, jobId, googleJobsUrl.

# 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": [
        "software engineer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/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": ["software engineer"] }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/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 '{
  "queries": [
    "software engineer"
  ]
}' |
apify call seemuapps/google-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/SrAUEph39WgqGa3RD/builds/okAUcg4Xzo9e5mHul/openapi.json