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

Scrape job listings from Google Jobs for any search and location: title, company, location, salary, posted date, employment type, direct apply links (LinkedIn, Indeed, company site), highlights and full description. Many queries per run, monitor mode for new jobs only.

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

## Pricing

$5.00 / 1,000 jobs

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/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

### What does Google Jobs Scraper do?

**Google Jobs Scraper** extracts job listings from [Google Jobs](https://www.google.com/search?q=jobs\&udm=8), the job search built into Google that aggregates postings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, company career sites and hundreds of other job boards.

For every job you get the **title, company, location, salary, posted date, employment type, direct apply links** (LinkedIn, Indeed, the company's own site…), **qualifications, responsibilities, benefits** and the **full job description**, as clean JSON, CSV or Excel.

- 🔎 **Many searches per run:** combine any number of job titles with any number of locations.
- 🔗 **Direct apply links:** real URLs to every job board that lists the job, not Google redirects.
- 💰 **Parsed salaries:** `salaryMin`, `salaryMax`, `salaryCurrency` and `salaryPeriod` next to the raw text.
- 🔔 **Monitor mode:** schedule it and get only new jobs on every run.
- 🌍 **Any country:** US, UK, Germany, India, Canada, Australia and more.

### What can I use it for?

- 📊 **Job market & salary research:** who's hiring for which roles, where, and for how much.
- 🎯 **Lead generation:** companies that are hiring have budget. Find them by role and city.
- 🧲 **Recruiting & job boards:** feed fresh postings into your ATS, newsletter or niche job board.
- 🤖 **AI agents & automations:** a structured job feed for your agent, Slack channel, Google Sheet or CRM.

### How to use it

1. Enter one or more **search queries** (e.g. `software engineer`, `nurse`, `data analyst`).
2. Optionally add **locations** (e.g. `Austin, TX`, `London`, `Berlin`) and set **Country** to match.
3. Optionally filter by **date posted** and **employment type**.
4. Click **Start**. Download the results as JSON, CSV or Excel, or get them through the API.

#### How many jobs per search?

Google shows 10 jobs per results page and loads more only in a browser. This scraper runs your search with a series of Google's own filter phrases (full time, remote, entry level, senior, last 3 days…) and merges the results without duplicates. That usually gives **50 to 150 unique jobs per search**, all still matching your query. Set **Max jobs per search** to the number you need. For broad coverage, add more specific queries or locations (e.g. several cities instead of a whole state).

#### Get alerts for new jobs (monitor mode)

Set **Monitor name** (e.g. `austin-engineering`) and [schedule](https://docs.apify.com/platform/schedules) the Actor daily. Each run then returns **only jobs it hasn't returned before** under that name. Connect it to Slack, email, Google Sheets, Make, Zapier or n8n through Apify integrations.

### Input example

```json
{
  "queries": ["software engineer", "data engineer"],
  "locations": ["Austin, TX", "Denver, CO"],
  "country": "us",
  "datePosted": "week",
  "employmentType": "FULLTIME",
  "maxJobsPerSearch": 50,
  "maxItems": 200
}
```

### Output example

```json
{
  "jobId": "2_ODygJDgtm5utPvAAAAAA==",
  "title": "Software Engineer I",
  "companyName": "Indeed",
  "location": "Austin, TX",
  "via": "Indeed",
  "postedAgo": "16 days ago",
  "postedAt": "2026-09-15",
  "employmentType": "Full-time",
  "employmentTypes": ["FULLTIME"],
  "salary": "94K–142K a year",
  "salaryMin": 94000,
  "salaryMax": 142000,
  "salaryCurrency": null,
  "salaryPeriod": "YEAR",
  "workFromHome": false,
  "extensions": ["16 days ago", "94K–142K a year", "Full-time", "No Degree Mentioned", "Paid time off", "Health insurance"],
  "applyOptions": [
    { "publisher": "Indeed", "url": "https://www.indeed.com/viewjob?jk=177a2f345faeafd5" },
    { "publisher": "Built In", "url": "https://builtin.com/job/software-engineer-i/..." },
    { "publisher": "ZipRecruiter", "url": "https://www.ziprecruiter.com/c/..." }
  ],
  "qualifications": ["Bachelor's degree in Computer Science or related field", "..."],
  "responsibilities": ["..."],
  "benefits": ["..."],
  "description": "About the role ...",
  "googleJobsUrl": "https://www.google.com/search?ibp=htl;jobs&q=software+engineer+austin&htidocid=2_ODygJDgtm5utPvAAAAAA%3D%3D&hl=en",
  "searchQuery": "software engineer",
  "searchLocation": "Austin, TX",
  "scrapedAt": "2026-10-01T16:01:50+00:00"
}
```

### How much does it cost?

**$0.005 per job** ($5 per 1,000 jobs). You only pay for jobs in your results: duplicates and jobs removed by your filters are free. No monthly fee.

| Use case | Jobs | Cost |
|---|---|---|
| One search, 50 jobs | 50 | $0.25 |
| 5 roles × 10 cities, 50 jobs each | 2,500 | $12.50 |
| Daily monitor, ~30 new jobs a day | ~900/month | ~$4.50/month |

Set **Max jobs in total** to cap the cost of a run.

### Good to know

- **Posted date:** Google shows relative times ("3 days ago"). `postedAt` is the date calculated from that; `postedAgo` keeps the original text.
- **Salary:** only present when Google shows one (about a third of US jobs). If the text has no currency symbol, `salaryCurrency` is empty; it's usually the local currency of the country you searched.
- **Language:** keep **Language** on `en` for the most complete data. In some countries (e.g. Germany) Google shows only a preview of the description and no highlights, whatever the language.
- **Locations** like `Austin, TX (+1 other)` mean the job is listed for several places.
- The scraper reads public search results only. It doesn't log in, and it doesn't collect personal data about applicants.

### FAQ

**Why do I get fewer jobs than I asked for?** Google has no more jobs for that exact search, or your filters removed them. Try broader queries or more locations.

**Can I search in other countries?** Yes. Set **Country** (e.g. `gb`, `de`, `in`, `ca`, `au`) and use local place names in **Locations**.

**Something's wrong or missing?** Open an issue on the Issues tab. Requests are welcome.

# Actor input Schema

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

What you would type into Google Jobs, e.g. 'software engineer' or 'nurse'. Each query runs once per location.

## `locations` (type: `array`):

Optional cities, regions or countries, e.g. 'Austin, TX' or 'Berlin'. Leave empty to search without a location.

## `maxJobsPerSearch` (type: `integer`):

Up to this many jobs per query × location. Google shows 10 jobs per page; the scraper adds filter variations of your search to find more (usually 50–150 unique jobs per search).

## `datePosted` (type: `string`):

Only return jobs posted within this period.

## `employmentType` (type: `string`):

Only return jobs of this type.

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

Two-letter country code Google searches from, e.g. 'us', 'gb', 'de', 'in'. Set it to the country of your locations for best results.

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

Interface language code, e.g. 'en' or 'de'. 'en' gives the most complete data (full descriptions and highlights) in every country.

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

Add the full job description text. Turn off for smaller output.

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

Stop after this many jobs across all searches. You pay per job.

## `monitorName` (type: `string`):

Set a name (e.g. 'austin-engineering') and schedule the Actor: each run then returns only jobs that weren't returned before under this name.

## Actor input object example

```json
{
  "queries": [
    "software engineer"
  ],
  "locations": [
    "Austin, TX"
  ],
  "maxJobsPerSearch": 50,
  "datePosted": "any",
  "employmentType": "ANY",
  "country": "us",
  "language": "en",
  "includeDescription": true,
  "maxItems": 500
}
```

# Actor output Schema

## `jobs` (type: `string`):

Job listings matching your searches, as JSON, CSV or Excel.

## `jobsAllFields` (type: `string`):

Same jobs with every field, including highlights and full descriptions.

# 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"
    ],
    "locations": [
        "Austin, TX"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("plain-signal/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"],
    "locations": ["Austin, TX"],
}

# Run the Actor and wait for it to finish
run = client.actor("plain-signal/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": [
    "software engineer"
  ],
  "locations": [
    "Austin, TX"
  ]
}' |
apify call plain-signal/google-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,plain-signal/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/de345LCWkwFIvkfOU/builds/DqI5aLGMOGEaZuXDB/openapi.json