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

Scrape Google Jobs by keyword and location in any country: job title, company, location, salary, employment type, posting age, description and direct apply links from every job board that lists it.

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

## Pricing

from $0.0025 / job scraped

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

**Google Jobs Scraper** extracts job listings from Google Jobs for any search and location: **job title, company, location, salary, employment type, posting age, description and direct apply links** from every job board that lists the role. One search covers LinkedIn, Indeed, company career sites and local boards in one format.

![Google Jobs Scraper input — job searches, location, country and filters](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/google-jobs-scraper-input.png?v=1)

### What does Google Jobs Scraper do?

Type what you'd search on Google, such as `data engineer` with `Singapore`, and get clean rows with the real links to apply. It works in any country and language, and each row lists every site where the job is posted.

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

| Data | Fields |
| --- | --- |
| Job | `title`, `company`, `location`, `employmentType`, `postedAgo` |
| Pay | `salary` (as shown, when shown) |
| Links | `applyUrl`, `applyLinks` (every board listing the job), `via` |
| Text | `description` |
| Context | `query`, `page`, `country`, `googleJobId`, `collectedAt` |

### Use cases

- **Job market research:** see who is hiring for a role, and where.
- **Salary benchmarking:** collect the pay ranges shown for a role and city.
- **Job boards and newsletters:** feed in fresh listings with direct apply links.
- **Recruiting and sales:** spot companies hiring for roles you serve.
- **Job alerts:** schedule a search with **Past day** to catch new roles.

### How to scrape Google Jobs

1. Open Google Jobs Scraper.
2. Add your **job searches** and a **location**.
3. Set the **country code**, and any filters you want.
4. Click **Start**.
5. Export to JSON, CSV, Excel or XML.

### How many jobs do I get per search?

Plan on **about 10 to 25 unique jobs per search**. In tests a search returned 10, 15 and 22 jobs. Google shows jobs in small batches, and later batches repeat earlier ones, so duplicates are removed and the run stops once nothing new appears. **To collect more, run more specific searches:** several titles, several cities, or different dates. You pay only for jobs delivered.

### Input

```json
{
  "queries": ["data engineer", "analytics engineer"],
  "location": "Singapore",
  "country": "sg",
  "datePosted": "week",
  "employmentTypes": ["Full-time"],
  "maxResultsPerQuery": 50
}
```

| Field | Description |
| --- | --- |
| `queries` | What to search for. |
| `location` | City or country added to each search. |
| `country` | Two-letter country to search from (default `us`). |
| `language` | Two-letter language code (default `en`). |
| `datePosted` | `any`, `today`, `3days`, `week` or `month`. |
| `employmentTypes` | Full-time, Part-time, Contractor, Internship. |
| `remoteOnly` | Keep jobs mentioning remote work in the title or location. |
| `withSalaryOnly` | Keep jobs that show a salary. |
| `includeDescription` | Include the job text (default on). |
| `maxResultsPerQuery` | Maximum jobs per search (default 50). |

### Output

A real row, with long values shortened.

![Google Jobs Scraper output example — jobs with company, salary and apply link](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/google-jobs-scraper-output.png?v=1)

```json
{
  "title": "Data Engineer (Extendable Contract)",
  "company": "Achieve Group",
  "location": "Singapore",
  "via": "LinkedIn Singapore",
  "postedAgo": "12 hours ago",
  "employmentType": "Full-time",
  "salary": null,
  "applyLinks": [
    {
      "source": "LinkedIn Singapore",
      "url": "https://sg.linkedin.com/jobs/view/data-engineer-extendable-contract-at-achieve-group-4486338103"
    },
    {
      "source": "Jobs",
      "url": "https://www.adzuna.sg/details/5936536860"
    }
  ],
  "applyUrl": "https://sg.linkedin.com/jobs/view/data-engineer-extendable-contract-at-achieve-group-4486338103",
  "description": "Our client in the energy sector is seeking a Market Data Engineer to deliver dependable da…",
  "googleJobId": "4h3o43Pg9AttRzIEAAAAAA==",
  "query": "data engineer",
  "page": 1,
  "country": "sg",
  "collectedAt": "2026-11-04T15:44:55.468Z"
}
```

#### Output schema

| Field | Type | Description |
| --- | --- | --- |
| `title` | string | Job title. |
| `company` | string | Hiring company. |
| `location` | string | Job location. |
| `via` | string | Site Google names as the source. |
| `postedAgo` | string | Age as shown, such as "2 days ago". Not always shown. |
| `employmentType` | string | Full-time, Contractor and so on. Not always shown. |
| `salary` | string | Pay as shown. Most jobs don't show one. |
| `applyUrl` | string (URL) | First apply link. |
| `applyLinks` | array | Every site listing the job, with `source` and `url`. |
| `description` | string | Job text. |
| `googleJobId` | string | Google's ID for this job. |
| `query` / `page` / `country` | various | The search that found it. |
| `collectedAt` | string (ISO date) | When the row was collected. |

### Need more job data?

- [ATS Jobs Scraper](https://apify.com/hipersoft/ats-jobs-scraper): search company career sites on Greenhouse, Lever and Ashby.
- [Google Search Scraper](https://apify.com/hipersoft/google-search-scraper): organic results, ads and more.

### FAQ

**How much does it cost?**
You pay per job delivered, shown on the **Pricing** tab. Set a maximum cost per run and it stops cleanly at that limit, storing only what you paid for.

**Why did I get fewer jobs than my maximum?**
Each search only reaches the jobs Google shows for it, usually 10 to 25. Use more specific searches to get more.

**Why is the salary empty?**
Most listings don't show pay. Use **Only jobs showing a salary** to keep the ones that do.

**Which countries work?**
Set any two-letter country code and add the place to your location. Tested in Singapore, the US and the UK.

**Can I get only new jobs?**
Yes. Schedule a daily run with **Date posted** set to **Past day**.

**Can I connect this to other tools?**
Yes, through [integrations on the Apify platform](https://apify.com/integrations): [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2) and [webhooks](https://docs.apify.com/platform/integrations/webhooks).

**Is it legal to scrape Google Jobs?**
It returns publicly listed job information. You are responsible for how you use it, including each site's terms and privacy law.

### Feedback

How did it go? Good or bad, a [review](https://console.apify.com/actors/2OVCH9qCt61B1Oo10/reviews) helps other users decide and tells us what to improve. Something broken or missing? Open an [issue](https://apify.com/hipersoft/google-jobs-scraper/issues) and we'll look at it.

### Related Actors

- [ATS Jobs Scraper](https://apify.com/hipersoft/ats-jobs-scraper)
- [Google Search Scraper](https://apify.com/hipersoft/google-search-scraper)

### Notes

Independent tool, not affiliated with Google. Returns only public data; you are responsible for how you use it.

# Actor input Schema

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

What to search for, one per line. Example: data engineer, nurse, marketing manager.

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

City or country added to each search. Example: Singapore, Berlin, New York.

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

Two-letter country to search from. Example: us, sg, gb, de.

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

Two-letter language code.

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

Only recent jobs.

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

Keep only these types. Empty keeps all.

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

Keep only jobs that mention remote work in the title or location.

## `withSalaryOnly` (type: `boolean`):

Keep only jobs with a salary shown.

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

Include the job description text.

## `maxResultsPerQuery` (type: `integer`):

How many jobs to collect per search.

## Actor input object example

```json
{
  "queries": [
    "data engineer"
  ],
  "location": "Singapore",
  "country": "sg",
  "language": "en",
  "datePosted": "any",
  "remoteOnly": false,
  "withSalaryOnly": false,
  "includeDescription": true,
  "maxResultsPerQuery": 50
}
```

# Actor output Schema

## `overview` (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": [
        "data engineer"
    ],
    "location": "Singapore",
    "country": "sg"
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/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": ["data engineer"],
    "location": "Singapore",
    "country": "sg",
}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/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": [
    "data engineer"
  ],
  "location": "Singapore",
  "country": "sg"
}' |
apify call hipersoft/google-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/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/2OVCH9qCt61B1Oo10/builds/IABVfYtsY5fdaWMoc/openapi.json