# Google Jobs Search Results (`brightgro/google-jobs`) Actor

Give job searches and get the jobs that Google Jobs shows for each: title, company, location, salary, contract type, posting date and the job board link. Any country and city. Data from the DataForSEO SERP API.

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

## Pricing

$3.00 / 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

## Google Jobs Search Results

Give job searches and get the jobs that Google Jobs shows for each one. Google Jobs gathers postings from company career sites and job boards, so one search covers many boards. The data comes from the DataForSEO SERP API.

### Input

- Job searches: up to 20, for example `data engineer`.
- Country: one of 18 countries (US by default).
- City or region: optional, in Google's form, for example `New York,New York` or `London,England`.
- Jobs per search: 10 to 100. The default is 20.
- Employment types: optional, full time, part time, contractor or internship.

### Output

One row per job:

| Field | What it holds |
|---|---|
| query, location_searched | What you asked for |
| rank | The job's place in the Google Jobs results |
| title, company, company_url, company_logo | The job and the employer |
| location | Where the job is |
| posted, posted_ago | When it was posted |
| salary, contract_type | Pay and type, where the posting shows them |
| source, url | The job board or career site and the link to the posting |
| google_job_id | Google's id for the job |

A search that Google Jobs does not accept (often an unknown city) gets one `invalid_input` row and is not charged. A provider error gets one `provider_error` row and is not charged.

### Price

One `job` event for each job row, at the price shown on this page. You pay only for jobs that come back: a search that returns no jobs (a `no_jobs` row) or does not finish in time (a `not_ready` row) is free. The run asks for no more jobs than its spending limit can pay for, and stops when the limit is reached.

### Limits

- Each search takes about 20 to 90 seconds, because Google Jobs results are prepared as a task.
- Google Jobs shows what Google has indexed; a posting may already be closed on its source site.

# Actor input Schema

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

What you would type into Google Jobs, up to 20, for example data engineer or nurse jobs.

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

The country to search in.

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

Narrow the search to a place inside the country, in Google's form, for example New York,New York or London,England.

## `maxJobsPerQuery` (type: `integer`):

The most jobs to return for each search (10 to 100).

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

Keep only these types.

## Actor input object example

```json
{
  "queries": [
    "data engineer"
  ],
  "country": "US",
  "maxJobsPerQuery": 10
}
```

# Actor output Schema

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

Give job searches and get the jobs that Google Jobs shows for each: title, company, location, salary, contract type, posting date and the job board link. Any country and city. Data from the DataForSEO SERP API.

# 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"
    ],
    "maxJobsPerQuery": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("brightgro/google-jobs").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"],
    "maxJobsPerQuery": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("brightgro/google-jobs").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"
  ],
  "maxJobsPerQuery": 10
}' |
apify call brightgro/google-jobs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,brightgro/google-jobs"
        }
    }
}
```

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/Oa6gk5jbs0vg18Vhy/builds/YjHlDriVj12YaaA75/openapi.json