# Google Jobs Scraper - Listings, Salaries & Apply Links (`automly/google-jobs-scraper`) Actor

Scrape Google Jobs by keyword and location, with date posted, job type and remote filters: title, company, location, posted date, salary range, job type, highlights, full description and every apply link. Export to JSON, CSV or Excel.

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

## Pricing

from $1.80 / 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.
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 - Listings, Salaries & Apply Links

### What is Google Jobs Scraper?

**Google Jobs Scraper** is a tool that lets you **scrape job listings from Google Jobs** (the jobs box and the "Jobs" tab of Google Search): job title, company, location, the job board it was posted on, **every apply link**, posting date, job type, **salary with its minimum, maximum, currency and pay period**, remote flag, job highlights (qualifications, responsibilities, benefits) and the **full job description**. Type a keyword and a location, click **Start**, and download the jobs as Excel, CSV or JSON.

Google Jobs collects postings from LinkedIn, Indeed, ZipRecruiter, Glassdoor, company career pages and hundreds of other job boards, so one search gives you jobs from all of them in one clean table.

- 🔎 **One search, every job board:** LinkedIn, Indeed, ZipRecruiter, Glassdoor, Monster, career sites and more
- 🔗 **All apply links:** every site where a job can be applied for, not just the first one
- 💰 **Salaries you can sort:** pay text plus parsed minimum, maximum, period (hour, week, month, year) and currency
- 📝 **Full descriptions and highlights:** qualifications, responsibilities and benefits as lists
- 🧹 **No duplicates:** a job found by several searches is saved once
- 🔓 **No login:** no Google account needed

### What can Google Jobs Scraper do?

- **Scrape Google Jobs search results** for any keyword and location, like `software engineer` in `New York, NY` or `registered nurse` in `Chicago, IL`
- **Filter Google Jobs like on Google:** date posted (since yesterday, last 3 days, last week, last month), job type (full-time, part-time, contract, internship) and remote jobs
- **Search many keywords and locations in one run**: every keyword is searched in every location
- **Collect salary data** from job postings across roles, cities and countries
- **Get every apply link** for a job: LinkedIn, Indeed, the company's careers page and other job boards
- **Monitor new jobs** every day with "Since yesterday" and a schedule
- **Search 38 countries**: United States, United Kingdom, Canada, India, Singapore, UAE, Germany, France, Spain, Italy, Mexico, Brazil, Japan and more
- Export to Excel, CSV, JSON, HTML or XML, or send the data to Google Sheets, Make, Zapier and more

### What data can you extract from Google Jobs?

| | | |
|---|---|---|
| 💼 Job title | 🏢 Company name and logo | 📍 Location |
| 🌐 Job board it came via | 🔗 Every apply link | 📅 Posted ("3 days ago") and posted date |
| 🕒 Job type | 🏠 Remote flag | 🎓 "No degree mentioned" flag and tags (health insurance, paid time off) |
| 💰 Salary text, min, max, currency, period | ✅ Qualifications | 📋 Responsibilities |
| 🎁 Benefits | 📝 Full job description | 🆔 Google job ID and Google link |

### How to scrape Google Jobs

1. [Create a free Apify account](https://console.apify.com/sign-up).
2. Open **Google Jobs Scraper**.
3. Enter search keywords and locations, one per line, and pick the country.
4. Set the filters you want (date posted, job type, remote) and the maximum number of jobs.
5. Click **Start**, then download the jobs as Excel, CSV, JSON or HTML.

### How much does it cost to scrape Google Jobs?

You pay only for the jobs you get: one price per saved job, lower on higher Apify plans. See the **Pricing** tab for the price on your plan.

Every Apify account gets **$5 of free usage each month**, so you can try it at no cost. **Maximum jobs** keeps the cost of a run under control, and you can also set a maximum cost per run.

### ⬇️ Input

| Field | What to enter |
|---|---|
| **Search keywords** | Job titles, skills or companies, one per line: `software engineer`, `registered nurse`, `warehouse associate` |
| **Locations** | Cities, states or regions, one per line: `New York, NY`, `Austin, TX`, `London`. Leave empty to search the whole country |
| **Country** | The country whose jobs are searched (United States by default) |
| **Date posted** | Any time, since yesterday, last 3 days, last week or last month |
| **Job types** | Full-time, part-time, contract, internship (leave empty for all) |
| **Remote jobs only** | Only jobs Google marks as remote or work from home |
| **Maximum jobs** | The most jobs the whole run saves |

Example input:

```json
{
  "queries": ["software engineer", "data analyst"],
  "locations": ["New York, NY", "Austin, TX"],
  "country": "US",
  "datePosted": "week",
  "employmentTypes": ["full_time"],
  "remoteOnly": false,
  "maxResults": 200
}
```

### ⬆️ Output

One row per job. A real row (description and lists shortened):

```json
{
  "jobId": "Hf_4KnMiHqgOrj-7AAAAAA==",
  "title": "Software Developer - AI Trainer",
  "companyName": "DataAnnotation",
  "location": "Anywhere",
  "via": "ZipRecruiter",
  "postedAgo": "3 days ago",
  "postedAt": "2026-10-03T08:26:43Z",
  "employmentType": "Contractor",
  "isRemote": true,
  "salary": "75–150 an hour",
  "salaryMin": 75,
  "salaryMax": 150,
  "salaryCurrency": "USD",
  "salaryPeriod": "hour",
  "noDegreeMentioned": false,
  "tags": ["Work from home"],
  "qualifications": ["Fluency in English (native or bilingual level)"],
  "responsibilities": ["Your work directly contributes to refining intelligent systems that learn, adapt, and evolve"],
  "benefits": ["Choose which projects you want to work on and when"],
  "highlights": [{"title": "Qualifications", "items": ["Fluency in English (native or bilingual level)"]}],
  "description": "About the Role:\n\nWe are looking for existing software engineers and developers to help advance AI development...",
  "applyLinks": [
    {"title": "ZipRecruiter", "url": "https://www.ziprecruiter.com/c/dataannotation/Job/Software-Developer-AI-Trainer/-in-Austin,TX?jid=c81a1892777d3bc1"},
    {"title": "Jooble", "url": "https://jooble.org/jdp/-4870826079140527868"}
  ],
  "applyLink": "https://www.ziprecruiter.com/c/dataannotation/Job/Software-Developer-AI-Trainer/-in-Austin,TX?jid=c81a1892777d3bc1",
  "shareLink": "https://www.google.com/search?ibp=htl;jobs&q=software+engineer+jobs+in+Austin%2C+TX&htidocid=Hf_4KnMiHqgOrj-7AAAAAA%3D%3D",
  "companyLogo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTN7XtC6O8I1S7uPpwSzyzQiWDe_Pchx67x_8oe&s=0",
  "country": "US",
  "query": "software engineer",
  "searchLocation": "Austin, TX",
  "source": "software engineer in Austin, TX",
  "scrapedAt": "2026-10-06T08:26:50Z"
}
```

The **Overview** tab shows the main columns, the **Details** tab the highlights, description and apply links. A run report (jobs per search, searches with no jobs) is saved as `report-summary` in the run's key-value store.

### Use cases

- **Job boards and aggregators:** fill your board with fresh listings from every source Google knows
- **Recruiting and sales leads:** find companies hiring for the roles you place or the tools you sell
- **Salary research:** compare pay ranges by role, city and country
- **Labor market analysis:** track how many jobs, which skills and which employers per region over time
- **Job search automation:** get new jobs for your keywords every morning in a spreadsheet or Slack

### Scheduled job alerts

Set **Date posted** to "Since yesterday", save the input as a task and add a daily schedule. Every morning you get the new jobs, and with the Google Sheets, Slack or email integrations they arrive where you work.

### Use with the API

```bash
curl -X POST "https://api.apify.com/v2/acts/automly~google-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["registered nurse"], "locations": ["Chicago, IL"], "maxResults": 50}'
```

### Use with AI agents (MCP)

AI assistants connected to Apify can run this actor for requests like "find full-time registered nurse jobs posted this week in Chicago with salaries". The matching input is `{"queries": ["registered nurse"], "locations": ["Chicago, IL"], "datePosted": "week", "employmentTypes": ["full_time"], "maxResults": 50}`.

### ❓FAQ

**How much does it cost?**
You pay per saved job; the **Pricing** tab shows the price on your plan. Every account gets $5 of free usage a month.

**How many jobs can I get per search?**
Google shows a limited number of jobs for one search, often around 100-200 for a keyword in a city. For more, add more keywords (for example `nurse`, `registered nurse`, `RN`), more locations or nearby cities. A job found by several searches is saved once.

**Which countries are supported, and in which language should I search?**
38 countries where Google shows a jobs list, including the US, UK, Canada, India, Singapore, the UAE, South Africa, the Philippines, Germany, France, Spain, Italy, the Netherlands, Mexico, Brazil and Japan. Outside English-speaking countries, type the keywords in the local language, the way job seekers there search: `Buchhalter` in Germany, `comptable` in France, `contador` in Brazil.

**Do the filters only return matching jobs?**
Yes. Every job is checked against the job type and remote filters you set, and against date posted when Google shows when the job was posted (jobs Google lists without a date are kept). Jobs that do not match are not saved and not charged.

**Why do some jobs have no salary or posting date?**
Google shows them only when the posting has them. The fields are empty (null) otherwise.

**Why are descriptions short for jobs in Germany, France and other EU countries?**
In EU countries Google itself shows only a short preview of each job's description, with links to the full posting on each job board. You get the preview and every apply link.

**How exact is the posting date?**
Google shows posting times like "3 days ago" or "19 hours ago". `postedAt` turns that into a date and time counted back from the moment the run started, so it is exact to the hour or the day Google rounds to.

**Does it need a Google account?**
No. It reads public job listings only, with no login.

**Is it legal to scrape Google Jobs?**
The scraper collects job postings that are publicly shown to anyone. Job postings may still contain personal data such as a recruiter's name, so make sure your use complies with the laws that apply to you, such as GDPR. If unsure, ask a lawyer. This actor is not affiliated with or endorsed by Google.

**Something does not work. What can I do?**
Open the **Issues** tab and tell us the input you used. We fix problems quickly.

# Actor input Schema

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

Job titles, skills or companies to search for, one per line, e.g. "software engineer", "registered nurse", "warehouse associate". Each keyword is its own search, in every location below.

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

Cities, states or regions, one per line, e.g. "New York, NY", "Chicago, IL", "London", "Toronto, ON". Leave empty to search the whole country chosen below.

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

The country whose jobs are searched, e.g. US or GB. Outside English-speaking countries, type keywords in the local language ("Buchhalter" in Germany). In EU countries Google shows a short preview of each job's description instead of the full text.

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

Only jobs posted within this time, e.g. "week" for the last 7 days.

## `employmentTypes` (type: `array`):

Only these job types, e.g. full_time. Leave empty for every type. Several types are searched one after another.

## `remoteOnly` (type: `boolean`):

Only jobs Google marks as remote or work from home.

## `maxResults` (type: `integer`):

The most jobs the whole run saves, e.g. 100. You pay only for saved jobs. Google shows a limited number of jobs per search (often 100-200), so add more keywords or locations for more.

## Actor input object example

```json
{
  "queries": [
    "software engineer"
  ],
  "locations": [
    "New York, NY"
  ],
  "country": "US",
  "datePosted": "any",
  "remoteOnly": false,
  "maxResults": 20
}
```

# Actor output Schema

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

No description

## `details` (type: `string`):

No description

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

No description

## `report` (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": [
        "software engineer"
    ],
    "locations": [
        "New York, NY"
    ],
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("automly/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": ["New York, NY"],
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("automly/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": [
    "New York, NY"
  ],
  "maxResults": 20
}' |
apify call automly/google-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automly/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/ZUPDPssXoYuHlIdXb/builds/ZLHtdLccMc41FI66W/openapi.json