# Google Jobs Scraper – Salaries, Apply Links & Descriptions (`ecclesiasteslabs/google-jobs-scraper`) Actor

Scrape Google Jobs by job title and location. Get job listings that Google gathers from LinkedIn, Indeed, ZipRecruiter, Glassdoor and company career sites: title, company, salary, posted date, job type, full description and every direct apply link. Pay only per job returned.

- **URL**: https://apify.com/ecclesiasteslabs/google-jobs-scraper.md
- **Developed by:** [ecclesiasteslabs](https://apify.com/ecclesiasteslabs) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.70 / 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 – Salaries, Apply Links & Descriptions

#### What does Google Jobs Scraper do?

Google Jobs collects job postings from across the web: LinkedIn, Indeed, ZipRecruiter, Glassdoor, Monster, niche job boards and thousands of company career pages. This actor runs a Google Jobs search for any job title and location and gives you every listing as clean, structured data. One search covers many job boards at once, and you get **every apply link** for each job.

#### Why use it?

- **Many job boards, one search.** One tool instead of a separate LinkedIn scraper, Indeed scraper and career-page crawler. Each job lists all the places you can apply (e.g. "Apply on LinkedIn", "Apply on Indeed", "Apply on company site").
- **Salary data.** When Google shows a salary (e.g. "125K–175K a year", "17–20 an hour"), you get it.
- **Full job descriptions** plus Google's "job highlights" (qualifications, responsibilities, benefits).
- **Reliable.** No browser, no login, no cookies. Automatic retries and backoff. Runs finish in about 1–4 minutes.
- **Fair, simple pricing.** $2.00 per 1,000 jobs. You pay only for unique jobs saved, not for pages or retries.
- **Works for AI agents.** Simple input (keywords + locations + limit) and a documented output schema. Easy to call from MCP clients, LangChain, n8n, Make or Zapier.

#### What data do you get?

| Field | Example |
|---|---|
| `title` | Senior Software Engineer, Payments |
| `companyName` | Stripe |
| `location` | New York, NY |
| `salary` | 180K–300K a year |
| `jobType` | Full-time |
| `postedAgo` / `postedAt` | 2 days ago / 2026-10-02 |
| `isRemote` | false |
| `via` | LinkedIn |
| `applyLinks` | \[{"title": "Apply on LinkedIn", "url": "https://www.linkedin.com/jobs/view/..."}, {"title": "Apply on Indeed", "url": "https://www.indeed.com/viewjob?jk=..."}] |
| `description` | Full text |
| `highlights` | Qualifications / Responsibilities / Benefits lists |
| `tags` | Health insurance, Paid time off, No degree mentioned |
| `jobId` | Google's unique id (use it to remove duplicates between runs) |

#### How to use it

1. Enter one or more **job titles or keywords** (e.g. `registered nurse`, `data analyst`).
2. Enter one or more **locations** (e.g. `Chicago, IL`, `London`, `Remote`).
3. Optionally pick a **date posted** filter and set the **maximum number of jobs**. The country is detected from your locations.
4. Click Start. Download the results as JSON, CSV, Excel, or get them through the API.

Example input:

```json
{
  "queries": ["registered nurse", "nurse practitioner"],
  "locations": ["Chicago, IL"],
  "datePosted": "week",
  "maxItems": 200
}
```

#### How much does it cost?

**$2.00 per 1,000 jobs** ($0.002 per job). No start fee, no monthly rent. Paid Apify plans get a discount: **Bronze $1.90, Silver $1.80, Gold and above $1.70 per 1,000 jobs.** 100 jobs cost about $0.20. Apify's free plan ($5/month credit) covers about 2,500 jobs a month. You can set a maximum cost per run, and the actor stops cleanly when it's reached.

#### Run it from your code

Get your API token in Apify Console → Settings → API & Integrations.

**Python** (`pip install apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("ecclesiasteslabs/google-jobs-scraper").call(run_input={"queries": ["data analyst"], "locations": ["London"], "datePosted": "week", "maxItems": 100})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

**JavaScript / Node.js** (`npm install apify-client`)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('ecclesiasteslabs/google-jobs-scraper').call({"queries": ["data analyst"], "locations": ["London"], "datePosted": "week", "maxItems": 100});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

**HTTP (one call, returns the results)**

```bash
curl -X POST "https://api.apify.com/v2/acts/ecclesiasteslabs~google-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["data analyst"], "locations": ["London"], "datePosted": "week", "maxItems": 100}'
```

#### Integrations

- **AI agents (MCP):** connect Claude, ChatGPT, Cursor or any MCP client to [Apify's MCP server](https://mcp.apify.com) and the agent can call this actor directly.
- **No-code:** use the Apify modules in **Make**, **Zapier** or **n8n** to send results to Google Sheets, Airtable, Slack or a CRM.
- **Schedules:** run it daily or hourly in Apify Console → Schedules, and get only new results with a short time filter.

#### Use cases

- **Recruiters and staffing agencies:** find companies hiring for a role in a city, with apply links and salary ranges.
- **Job boards and aggregators:** fill your board with fresh listings every day (use "Past 24 hours" on a schedule).
- **Labor-market and salary research:** track hiring demand and pay by role and region.
- **Sales and lead generation:** companies that are hiring are companies that are growing.
- **AI job-search agents:** give your agent live job listings with direct apply links.

#### Looking for an Indeed or LinkedIn jobs scraper?

Google Jobs already includes many postings from Indeed, LinkedIn, ZipRecruiter and Glassdoor. Each job comes with its apply links on those sites. If you want job listings rather than profile data from one specific site, this actor gives you broader coverage in one run. It is not an official API of any of those sites. It reads the public Google Jobs results. If you need data that only exists on one site (e.g. LinkedIn applicant counts), use a dedicated scraper for that site.

#### Tips

- **Country is detected automatically** from each location (Berlin → Germany, London → UK). Set `country` only to force one country for every search.
- **Language is automatic too:** English first, then the country's own language if English finds nothing. Set it only to force one language.
- Tested and working: US, UK, Canada, Germany, France, Spain, Italy, Netherlands, Switzerland, Mexico, Brazil, India, Japan, Singapore, UAE, South Africa. Google Jobs isn't available in every country. If a search finds nothing, the run stops quickly, tells you why, and you aren't charged.
- City-level locations give the best results.
- Google shows about 10 jobs per search. To find more, the actor automatically runs variations of your search (by date window, job type and seniority) and removes duplicates. Very narrow searches (rare job + small town) may return fewer jobs than your limit. You only pay for jobs actually returned.
- In EU countries Google shows a shorter job preview instead of the full description.
- Schedule a daily run with "Past 24 hours" and deduplicate by `jobId` to track new postings.

#### FAQ

**Is it legal?** The actor collects publicly available job listings from Google search results. It does not log in or collect personal data beyond what employers publish in job ads. Check the rules that apply to your use case and jurisdiction.

**Which countries work?** Any country where Google Jobs is available. Tested and working: US, UK, Canada, Germany, France, Spain, Italy, Netherlands, Switzerland, Mexico, Brazil, India, Japan, Singapore, UAE and South Africa.

**Why do I get fewer jobs than I asked for?** Google has only a limited number of listings for some searches. Try broader keywords or more locations.

**Something broke?** Open an issue on the Issues tab. We run a daily health check and usually fix layout changes within 24 hours.

# Changelog

This Actor's version history is a separate document: https://apify.com/ecclesiasteslabs/google-jobs-scraper/changelog.md

# Actor input Schema

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

What to search for, e.g. "software engineer", "registered nurse", "marketing manager remote". One search is run per keyword (and per location if you give several). Write keywords in the language of the country you search.

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

Where the jobs are, e.g. "New York, NY", "London", "Berlin", "Remote". City level gives the best results. Leave empty to let Google pick results for the selected country.

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

Leave empty to detect the country automatically from each location (Berlin → de, London → gb, Toronto → ca). Set a two-letter code (e.g. us, gb, de) only to force one country for all searches. Locations like 'Remote' or empty use us.

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

Leave empty for automatic: English first, then the country's own language if English finds nothing (some countries, e.g. Italy, Mexico, Japan, only return jobs in their language). Set a two-letter code (e.g. en, de, it) to force one language.

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

Only return jobs posted within this time window. Use 'Past 24 hours' for daily scheduled runs so you only get new postings.

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

Stop after this many unique jobs in total (across all keywords and locations). You pay per job saved. Google shows about 10 jobs per search, so the scraper runs several variations of your search to find more; very narrow searches may return fewer jobs than this limit.

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

Include the full job description and Google's 'job highlights' (qualifications, responsibilities, benefits). Turn off for smaller, faster-to-process output. The price per job is the same.

## Actor input object example

```json
{
  "queries": [
    "software engineer"
  ],
  "locations": [
    "New York, NY"
  ],
  "datePosted": "any",
  "maxItems": 20,
  "includeDescription": true
}
```

# Actor output Schema

## `results` (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"
    ],
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("ecclesiasteslabs/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"],
    "maxItems": 20,
}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ecclesiasteslabs/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/BUnSYQ1g4eubobPOk/builds/1V51Po3P3saJ0Mxff/openapi.json