# Google Jobs Scraper | Job Listings API (`danthedataman/google-jobs-search-api`) Actor

Export Google Jobs searches by role, location and country with employers, descriptions, available salary text and apply links. Returns the first results page.

- **URL**: https://apify.com/danthedataman/google-jobs-search-api.md
- **Developed by:** [Eli J](https://apify.com/danthedataman) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.85 / 1,000 results

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

### What you can export

Use this **Google Jobs scraper and listings API** to research roles across several location searches. Supply query, location and country values to export job titles, employers, descriptions, available salary text and named apply links.

This version reads the first Jobs results page. Location text guides the query rather than enforcing a geographic boundary, so nearby and remote jobs can appear.

### Try the shipped prefill

Use the input form's example values for a first run. Prefills are examples, not API defaults; check the billing and limits before starting.

```json
{
  "searches": [
    {
      "query": "python developer",
      "location": "Chicago",
      "country": "us"
    }
  ],
  "maxResultsPerSearch": 10
}
```

### Input

| Field | Type | Default | Meaning |
| --- | --- | --- | --- |
| `searches` | array | None; form prefill shown above | Objects containing `query`, `location` and `country`. All three strings are needed for each search. |
| `maxResultsPerSearch` | integer | None; form prefill `10` | Maximum rows for each search, up to `10`. `0` requests no jobs. |

Use a lowercase country code such as `us` or `es`. The location is added to the query text; it is not a strict geographic filter. Google can include nearby and remote postings. The interface language is fixed to English; results can come from any country Google Jobs serves, and descriptions retain the publisher's language. This version exports the first Jobs page, with at most ten postings per search. It does not promise all matching jobs.

An omitted `searches` or `maxResultsPerSearch`, an empty search array, or a zero limit finishes successfully with no rows and guidance. Invalid input is recorded in the run's `ERRORS` record without a billable row.

### Output

One row is one Google job ID within one search. Repeated IDs within a search are removed; the same posting can appear under several searches.

| Column | Meaning |
| --- | --- |
| `jobId` | Google's encoded posting ID, preserved in full. |
| `title` | Posting title, checked against its detail template. |
| `employer` | Employer named on the posting. |
| `location` | Google's displayed job location, excluding the “via” source label. |
| `postedAge` | Posted-age text, or null when omitted. |
| `employmentType` | Employment-type text, or null when omitted. |
| `salary` | Salary phrase including the currency shown by Google, or null. No conversion or annualization. |
| `applyLinks` | Array of `source` names and `url` values. URLs are Google's outbound redirect links; the Actor does not visit or submit them. |
| `description` | Full description text from the delivered detail template, including its hidden continuation. Descriptions are passed through as published; no contact extraction or enrichment. |
| `search` | The supplied query, location and country, plus `language: "en"` for Google's fixed interface. |
| `sourceUrl` | The Google Jobs search URL built for this search. |
| `scrapedAt` | UTC time when this search's fetch started. |

### Billing and limits

Pay-per-event billing is per delivered job row. Error records are stored separately from the dataset. The Actor stops before delivering another posting or fetching another search when Apify reports the customer's maximum charge has been reached. A search can return fewer rows than requested when Google stops adding new IDs. A source challenge or changed markup is reported as a failure, never as an empty successful search. A run where every attempted search fails ends FAILED; a partial result remains available with failures in `ERRORS`.

### Source coverage

This Actor reads public Google Jobs search results through Apify's Google SERP proxy without signing in. It collects job postings and does not collect applicant profiles or recruiter contact fields. Google's search and continuation routes are disallowed by its robots policy; use is subject to Google's terms and the job publishers' rights. Google can change results, omit salary or age labels, or challenge automated access.

# Changelog

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

# Actor input Schema

## `searches` (type: `array`):

An array of objects with query, location and country. Google interface language is fixed to English; location is search context, not a strict filter.

## `maxResultsPerSearch` (type: `integer`):

Maximum job rows per search, up to 10. Required to fetch jobs. Zero means no work.

## Actor input object example

```json
{
  "searches": [
    {
      "query": "python developer",
      "location": "Chicago",
      "country": "us"
    }
  ],
  "maxResultsPerSearch": 10
}
```

# Actor output Schema

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

No description

## `errors` (type: `string`):

Handled request failures, when present; never result rows.

# 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 = {
    "searches": [
        {
            "query": "python developer",
            "location": "Chicago",
            "country": "us"
        }
    ],
    "maxResultsPerSearch": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("danthedataman/google-jobs-search-api").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 = {
    "searches": [{
            "query": "python developer",
            "location": "Chicago",
            "country": "us",
        }],
    "maxResultsPerSearch": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("danthedataman/google-jobs-search-api").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 '{
  "searches": [
    {
      "query": "python developer",
      "location": "Chicago",
      "country": "us"
    }
  ],
  "maxResultsPerSearch": 10
}' |
apify call danthedataman/google-jobs-search-api --silent --output-dataset

```

## MCP server setup

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

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/C1izIbBhKtomXcCWp/builds/XIc9ESvKdYmPlzxXY/openapi.json