# Job Posting Scraper (`orgupdate/job-posting-scraper`) Actor

Our new Indeed, LinkedIn, and Google Jobs Scraper rolled into one. This job posting scraper API extracts real-time job postings at scale from any active jobs posting results from all over the world. A new research tool built for recruitment, insights and HR acquiring global job posting data.

- **URL**: https://apify.com/orgupdate/job-posting-scraper.md
- **Developed by:** [Orgupdate](https://apify.com/orgupdate) (community)
- **Categories:** Jobs, AI, Developer tools
- **Stats:** 281 total users, 14 monthly users, 100.0% runs succeeded, 18 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

from $5.00 / 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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 🚀 Google Jobs Scraper – Scrape Google Jobs Listings to JSON, CSV & Excel

Scrape and aggregate job listings from **Google Jobs** (google.com) search results – job title, company, location, salary, posting date and a direct apply link – and export them to JSON, CSV, Excel or an API in a single run.

[View on Apify Store](#)

### 📖 Overview

The **Google Jobs Scraper** is a data-extraction tool that turns Google Jobs job search results into structured data. Google Jobs is the aggregated jobs panel Google shows in search results, pulling postings from LinkedIn, Indeed, Glassdoor, ZipRecruiter and company career pages into one place.

Whether you are building a job board, running labour-market research, tracking a competitor's hiring, or feeding an AI agent with live job data, this Actor returns clean, ready-to-use results in real time – no browser automation or manual copy-paste on your side.

### ✨ Key Features

- **🔍 Full-Text Job Search** – Search Google Jobs by keyword, job title or skill and walk every result page automatically.
- **🎯 Precise Filtering** – Narrow results by country, city or region, company name, employment type and how recently a job was posted.
- **📅 Fresh Data** – Pull only jobs posted today, in the last 3 days, this week or this month.
- **🧱 Structured Output** – Every listing is parsed into consistent fields you can sort, filter and export.
- **⚡ Fast & Low-Cost** – Optimised for speed and minimal compute so runs stay cheap.
- **🔌 API & No-Code Ready** – Call it from Python, Node.js, cURL, Zapier, Make, or an MCP client.

### 🔌 Use this API from Claude (MCP)

Add this Actor as a tool in Claude Code (free trial), Claude Cowork (free trial), Cursor, or any other MCP client, via the hosted Apify MCP server. Use this Actor-specific URL:

```
https://mcp.apify.com/?tools=actors,docs,orgupdate/google-jobs-scraper
```

Setup walkthrough:

https://youtu.be/jREWahDGhJM?si=Cg8nqMq0MViap5\_8

Apify MCP integration docs: https://docs.apify.com/platform/integrations/mcp

With the server connected, your agent can search Google Jobs listings by title and city, compare postings across employers, and pull salary and apply links into a single structured answer.

### 💸 Pay per result

This Actor uses **pay-per-event** pricing. You are charged per job result returned, plus a tiny automatic actor-start fee (about $0.0001) per run. There is no monthly subscription and no charge for a run that returns nothing – see the FAQ below.

#### Pay per run with crypto (x402)

This API supports agentic payments via the **x402** protocol. AI agents and MCP clients can pay for runs in USDC (on Base) with no Apify account or API token required: point your agent at the Apify MCP server and it can discover, pay for, and run this Actor autonomously. See the Apify x402 announcement for details.

### 🛠 Input Parameters

The Actor accepts the following input parameters in JSON format.

| Parameter | Type | Required | Description | Default | Valid Values |
|-----------|------|----------|-------------|---------|--------------|
| `includeKeyword` | String | **Yes** | Search terms, job title or skills. Comma-separated values are supported. | - | Any string (e.g. `"Product Manager"`, `"React, Node.js"`) |
| `locationName` | String | **Yes** | City, state or region to search in. | - | Any location string (e.g. `"London"`, `"New York, NY"`) |
| `countryName` | String | **Yes** | Country context for the search. | `"all"` | `"usa"`, `"uk"`, `"india"`, `"all"`, etc. |
| `pagesToFetch` | Integer | **Yes** | Number of result pages to walk. | `1` | Positive integers |
| `targetLocations` | Array | No | Search several cities in one run (in addition to `locationName`). | `[]` | List of location strings |
| `companyName` | String | No | Restrict results to a single employer (e.g. `"Google"`). | - | Any company name |
| `jobType` | String | No | Filter by employment type. | - | `FULLTIME`, `PARTTIME`, `CONTRACTOR`, `INTERN` |
| `datePosted` | String | No | How recent the jobs should be. | `"all"` | `all`, `today`, `3days`, `week`, `month` |

#### 💻 Example Input

```json
{
  "includeKeyword": "software engineer, python",
  "locationName": "new york",
  "countryName": "usa",
  "targetLocations": ["new york", "austin"],
  "companyName": "Google",
  "jobType": "FULLTIME",
  "datePosted": "week",
  "pagesToFetch": 3
}
```

### 📊 Output Data

Results are stored in the default Apify dataset and can be downloaded as JSON, CSV, Excel, XML or HTML, or pulled straight from the dataset API.

#### Sample JSON Output

```json
[
  {
    "job_title": "Senior Frontend Developer",
    "company_name": "Tech Corp Inc.",
    "location": "New York, NY (Remote)",
    "posted_via": "Google Jobs",
    "salary": "$120,000 - $150,000 a year",
    "date": "2025-03-25",
    "job_type": "Full-time",
    "URL": "https://google.com/..."
  }
]
```

#### Field Dictionary

- **job\_title** – The role title as published by the employer.
- **company\_name** – The organisation hiring for the role.
- **location** – City / region, or `Remote` where stated.
- **posted\_via** – The board or source the posting was found on.
- **salary** – Pay or pay range, when the employer provides one.
- **date** – The posting date.
- **job\_type** – Full-time, part-time, contract or internship, when stated.
- **URL** – Direct link to the job listing / application page.

Not every Google Jobs listing includes every field – `salary`, `job_type` and exact `date` vary by posting – so handle optional fields gracefully in your integration.

### 🧩 How to Use

1. **Run on Apify** – Open the Actor in Apify Console, fill in the input form and click *Start*.
2. **Schedule & automate** – Set the Actor to run on a schedule to keep a job database fresh.
3. **Export or integrate** – Send results to your app, CRM, spreadsheet or data warehouse.

### 👨‍💻 Programmatic Usage

Run this Actor from the Apify API with the official clients. Replace `orgupdate/google-jobs-scraper` with the real Actor ID from the Actor page.

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "includeKeyword": "Data Scientist",
    "locationName": "London",
    "countryName": "uk",
    "datePosted": "3days",
    "pagesToFetch": 1,
}

run = client.actor("orgupdate/google-jobs-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### Node.js

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

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const input = {
    includeKeyword: 'DevOps',
    locationName: 'Berlin',
    countryName: 'germany',
    jobType: 'CONTRACTOR',
    pagesToFetch: 2,
};

const run = await client.actor('orgupdate/google-jobs-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => console.dir(item));
```

### 🔗 Integrations

Don't just scrape data – act on it:

- **Zapier / Make** – Trigger an email, Slack or database action whenever a new matching job appears.
- **Google Sheets** – Append new job listings to a spreadsheet for tracking and analysis.
- **Slack / Discord** – Post new openings to a channel for your team or community.
- **n8n** – Add this Actor to any n8n workflow with the Apify node (or the HTTP Request node), including as an AI-Agent tool.

### 🗂 Featured Tasks

Ready-to-run configurations that solve a specific problem. Save any of these as a Task on your account and run it in one click.

- **Find remote Google Jobs jobs via MCP** – let an AI agent pull remote listings with company, source and direct apply links.
- **Track Google's open roles** – monitor one employer's postings on Google Jobs on a daily schedule.
- **Jobs posted in the last 3 days** – recent Google Jobs listings filtered by `datePosted`, feeding a database.
- **Salary benchmark by city** – aggregate Google Jobs pay ranges for one job title across multiple locations.

### 💡 Use Cases

- **Job boards & aggregators** – Populate a niche board with fresh Google Jobs listings, no manual entry.
- **Recruitment & sourcing** – See which companies are hiring for which roles, and where.
- **Market research** – Track hiring demand, titles and salaries across regions over time.
- **Lead generation** – Find companies actively hiring so you can time an outreach.

### ❓ FAQ / Troubleshooting

**No results returned?**
Check that `includeKeyword` is not empty, use a job-title style query (e.g. `"Registered Nurse"`) rather than a long descriptive phrase, verify the spelling of `locationName` and `countryName`, and try removing the `jobType` / `datePosted` filters. Increasing `pagesToFetch` also helps on thin markets.

**Am I charged for a run that returns no jobs?**
No. Pricing is pay-per-result, so a run that finds nothing only costs the automatic actor-start fee (about $0.0001), whatever the cause – a narrow query, a thin local market or an over-tight filter.

**Fewer results than expected?**
Some queries genuinely have few listings on Google Jobs. Broaden the keyword (e.g. `"engineer"` instead of `"senior backend engineer"`), widen `datePosted`, and raise `pagesToFetch`.

**Getting duplicates on a daily schedule?**
Set `datePosted` to `today` or `3days` so each run only returns recent postings, and de-duplicate on the `URL` field when writing to your database.

### 🌐 Where the Data Comes From

Every row this Actor returns starts as a public listing on Google Jobs (google.com). Employers and job boards publish those postings; this Actor reads the search results and parses them into fields. This is an independent tool. It is **not** affiliated with, endorsed by, or operated by Google Jobs, and it does not use a private Google Jobs API.

#### How is this different from searching Google Jobs by hand?

Browsing Google Jobs gives you one page of cards at a time and makes you keep loading more. This Actor walks the pagination for you and returns the whole set in one run, already parsed into `job_title`, `company_name`, `location`, `salary`, `date` and `URL` – fields you can sort, filter and export. An afternoon of scrolling and copy-paste becomes a run of a few minutes.

#### Does Google Jobs have a public jobs API?

Not one that returns search results you can reuse this way. That gap is what this Actor fills: pass a keyword and a location and you get structured JSON back.

### 🏢 About

This Actor is part of **Orgupdate**, a suite of job-market data tools and APIs covering the major job boards, aggregators and ATS platforms. For support or feature requests, open a ticket from the Actor page or the Apify Console.

Happy scraping! 🚀

# Actor input Schema

## `countryName` (type: `string`):

Select the country for job search.

## `targetLocations` (type: `array`):

Enter specific cities for job search (e.g., New York, Austin).

## `companyName` (type: `string`):

Enter the company name to filter job listings.

## `locationName` (type: `string`):

Enter the city or region.

## `includeKeyword` (type: `string`):

Comma-separated keywords (e.g., React, Next.js).

## `pagesToFetch` (type: `integer`):

Number of pages to scrape.

## `jobType` (type: `string`):

Select job type.

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

Choose time range.

## Actor input object example

```json
{
  "countryName": "",
  "targetLocations": [],
  "companyName": "",
  "locationName": "",
  "includeKeyword": "",
  "pagesToFetch": 1,
  "datePosted": "all"
}
```

# Actor output Schema

## `jobTitle` (type: `string`):

The title of the job posting.

## `companyName` (type: `string`):

The name of the company.

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

The location of the job posting.

## `postedDate` (type: `string`):

Date when the job was posted.

## `jobUrl` (type: `string`):

Direct link to the job listing.

## `description` (type: `string`):

The full job 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 = {
    "targetLocations": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("orgupdate/job-posting-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 = { "targetLocations": [] }

# Run the Actor and wait for it to finish
run = client.actor("orgupdate/job-posting-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 '{
  "targetLocations": []
}' |
apify call orgupdate/job-posting-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,orgupdate/job-posting-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/FNb465KQgpz8jbeii/builds/nFVIxmiXEyQqM6SOg/openapi.json