Google Jobs Scraper

Extract structured job listings from Google Jobs search results. This actor aggregates postings from multiple sources like LinkedIn, Glassdoor, and company career pages through a single query.

Overview

The Google Jobs Scraper pulls job listing data directly from Google's search results. It returns clean, structured data (JSON, CSV, etc.) suitable for building job boards, market analysis, or recruitment automation.

Key Features

• Multi-source aggregation: Fetches listings from thousands of job boards via one Google search.
• Precise filtering: Filter by company, location, job type (Full-time, Contract, etc.), and posting date.
• Performance optimized: Built for speed and low compute usage.
• Fresh data: Target recent postings ("Today", "3 days ago").
• API-ready: Integrates with Python, Node.js, Zapier, and Make.com.

Input Parameters

Configure the scraper using these JSON input parameters.

Example Input:

{
  "countryName": "usa",
  "locationName": "new york",
  "includeKeyword": "software engineer, python",
  "companyName": "google",
  "jobType": "FULLTIME",
  "datePosted": "week",
  "pagesToFetch": 3
}

Output Data

Results are stored in an Apify dataset, downloadable as JSON, CSV, Excel, or XML.

Sample JSON Output:

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

Output Fields:
* job_title: The role's official title.
* company_name: The hiring organization.
* location: Job location or remote status.
* posted_via: Original source platform (e.g., LinkedIn, Monster).
* salary: Provided pay range.
* date: Posting date.
* job_type: Employment type.
* URL: Direct link to the application/listing.

How to Use

1. Run on Apify: Deploy and run the actor directly from the Apify platform.
2. Automate: Schedule periodic runs to keep data current.
3. Export: Integrate the dataset with your CRM, website, or analytics tools.

Programmatic Usage

Run the actor via the Apify API using client libraries.

Python Example:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "includeKeyword": "software engineer",
    "locationName": "Berlin",
    "datePosted": "week"
}
run = client.actor("apify/google-jobs-scraper").call(run_input=run_input)

Node.js Example:

const { ApifyClient } = require('apify-client');
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('apify/google-jobs-scraper').call({
    includeKeyword: 'data analyst',
    jobType: 'FULLTIME',
    pagesToFetch: 2
});