# Google Jobs Scraper API 💰$4/1k jobs (`flyingnimbus/google-jobs-scraper`) Actor

Scrape Google Jobs (LinkedIn, Indeed, Glassdoor, career sites in one search). Title, company, location, salary parsed, type, posted date, highlights, full description, all apply links. Date and type filters. $3 per 1,000 jobs.

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

## Pricing

$4.00 / 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 Scraper

Scrape **Google Jobs** (the jobs panel in Google Search) for any query and location. Google Jobs aggregates postings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, company career sites and hundreds of job boards, so one search covers them all.

### What you get per job

- Title, company, location, source ("via LinkedIn")
- Posted ("2 days ago") and an estimated posted date
- Employment type (Full-time, Part-time, Contractor, Internship)
- Salary text plus parsed min / max / period / currency when shown
- Extensions such as "Health insurance", "Work from home", "No degree mentioned"
- Job highlights: Qualifications, Responsibilities, Benefits
- Full job description
- **All apply links** (company site, LinkedIn, Indeed, ...) with the source name
- Google job ID, Google Jobs share URL, company logo

### Input example

```json
{
  "queries": ["software engineer", "data analyst"],
  "locations": ["Toronto", "Austin TX"],
  "maxJobsPerQuery": 30,
  "datePosted": "week",
  "employmentType": "fulltime",
  "country": "us"
}
```

Each query is searched for each location. You can also write the location in the query ("nurse jobs in Chicago") and leave Locations empty.

### How many jobs per query

Google shows **10 jobs per search page** and loads more only with in-browser scrolling. To collect more, set *Max jobs per query* above 10: the actor runs variations of your search (full time, remote, senior, entry level, last 3 days, ...) and removes duplicates. You are charged only for unique jobs. Niche searches may return fewer jobs than the maximum.

### Pricing

- **$0.003 per job** (pay per event, unique jobs only)
- Searches with no jobs and failed searches are free. No start fee.

### Notes

- Date and type filters are applied the way Google understands them in the search text ("in the last week", "full time"); Google may still include a few close matches.
- Data is what Google shows publicly in its Jobs panel. No login is used.

### More actors by flyingnimbus

All pay-per-event and fast. Failed or empty runs are free:

- [Google Trends](https://apify.com/flyingnimbus/google-trends-scraper)
- [Google Flights](https://apify.com/flyingnimbus/google-flights-scraper)
- [Google Hotels](https://apify.com/flyingnimbus/google-hotels-scraper)
- [AI Search Visibility Tracker](https://apify.com/flyingnimbus/ai-search-visibility-tracker)
- [Google Ads Transparency](https://apify.com/flyingnimbus/google-ads-transparency-scraper)
- [Google Shopping](https://apify.com/flyingnimbus/google-shopping-scraper)
- [Career Site Jobs](https://apify.com/flyingnimbus/career-site-jobs-scraper)
- [YouTube Search](https://apify.com/flyingnimbus/youtube-search-intelligence-scraper)
- [Hacker News](https://apify.com/flyingnimbus/hackernews-intelligence-scraper)

# Actor input Schema

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

Job searches, e.g. 'software engineer' or 'nurse jobs in Chicago'.

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

Optional. Each query is run for each location ('<query> jobs in <location>'), e.g. Toronto, Austin TX.

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

Google shows 10 jobs per search. Above 10, the actor runs query variations (full time, remote, senior, recent...) and removes duplicates. You only pay for unique jobs.

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

Restrict to recent postings.

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

Restrict job type.

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

Add 'remote' to every search.

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

2-letter Google country code, e.g. us, ca, gb, in.

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

Google interface language, e.g. en, fr, de.

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

Full job description plus Qualifications / Responsibilities / Benefits.

## `maxConcurrency` (type: `integer`):

Parallel searches.

## `maxRetries` (type: `integer`):

Retries per search page.

## Actor input object example

```json
{
  "queries": [
    "software engineer"
  ],
  "locations": [
    "Toronto"
  ],
  "maxJobsPerQuery": 10,
  "datePosted": "any",
  "employmentType": "any",
  "remoteOnly": false,
  "country": "us",
  "language": "en",
  "includeDescription": true,
  "maxConcurrency": 5,
  "maxRetries": 3
}
```

# Actor output Schema

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

One row per job.

## `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": [
        "software engineer"
    ],
    "locations": [
        "Toronto"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("flyingnimbus/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": ["Toronto"],
}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,flyingnimbus/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/660btF075rpMT1B9n/builds/wr9kzzAeDrWYeJHBR/openapi.json