How to Scrape Google Jobs Results

There are thousands of job boards on the internet. It is time-consuming to search for a job on each job board. Google Jobs is a job search engine that aggregates job listings from various sources, including job boards, company career pages, and staffing agencies.

Scraping Google Jobs Results helps you find comprehensive job listings, customized searches - focus on specific job titles, locations, companies or job types to find the most relevant positions.

Furthermore, you can receive real-time updates on new job listings that match your criteria, analyze job market trends, salary ranges, and demand for specific skills by scraping and processing job data.

Setting up a SerpApi account

SerpApi offers a free plan for newly created accounts. Head to the sign-up page to register an account and complete your first search with our interactive playground. When you want to do more searches with us, please visit the pricing page.

Once you are familiar with all results, you can utilize SERP APIs using your API Key.

Scrape your first Google Jobs results with SerpApi

Head to the Google Jobs Results from the documentation on SerpApi for details.

In this tutorial, we will scrape jobs results when searching with "SEO manager" keyword. The data contains: "title", "company", "location", "description", "logo", and more. You can also scrape more information with SerpApi.

First, you need to install the SerpApi client library.

pip install google-search-results

Set up the SerpApi credentials and search.

from serpapi import GoogleSearch
import os, json

params = {
    'api_key': 'YOUR_API_KEY',         # your serpapi api
    'engine': 'google_jobs',           # SerpApi search engine	
    'q': 'SEO manager'
}

To retrieve Google Jobs Results for a given search term, you can use the following code:

results = GoogleSearch(params).get_dict()['jobs_results']

You can store Jobs Results Results JSON data in databases or export them to a CSV file.

import csv

header = ['title', 'company', 'location', 'description', 'logo']

with open('google_jobs.csv', 'w', encoding='UTF8', newline='') as f:
    writer = csv.writer(f)

    writer.writerow(header)

    for item in results:
        print(item)
        writer.writerow([item.get('title'), item.get('company'), item.get('location'), item.get('description'), item.get('logo')])

This example is using Python, but you can also use your all your favorite programming languages likes Ruby, NodeJS, Java, PHP....

If you have any questions, please feel free to contact me.