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Learn how to build your own Google Jobs scraper that simultaneously scrapes Google Jobs for multiple search queries and geo-locations with Python and Oxylabs’ Google Jobs Scraper API. https://oxylabs.io/blog/how-to-scrape-google-jobs
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# How To Scrape Google Jobs
[](https://oxylabs.io/products/scraper-api/serp/google?utm_source=877&utm_medium=affiliate&groupid=877&utm_content=how-to-scrape-google-jobs-github&transaction_id=102c8d36f7f0d0e5797b8f26152160)
[](https://discord.gg/Pds3gBmKMH) [](https://www.youtube.com/@oxylabs)
In this two-part tutorial, we're going to show how to scrape Google Jobs data. First, we'll show how to do it for free but if you need data at scale, please refer to the second part of the tutorial. There, we'll demonstrate how to gather large-scale data with Oxylabs API.
* [Free Google Jobs Scraper](#free-google-jobs-scraper)
+ [Prerequisites](#prerequisites)
+ [Installation](#installation)
+ [Scraping Google Jobs](#scraping-google-jobs)
+ [Notes](#notes)
* [Scraping Google Jobs with Oxylabs API](#scraping-google-jobs-with-oxylabs-api)
* [Google Jobs website overview](#google-jobs-website-overview)
* [1. Get a free trial and send a request](#1-get-a-free-trial-and-send-a-request)
+ [Install Python](#install-python)
+ [Send a request for testing](#send-a-request-for-testing)
* [2. Install and import libraries](#2-install-and-import-libraries)
* [3. Add your API user credentials](#3-add-your-api-user-credentials)
* [4. Set up queries and locations](#4-set-up-queries-and-locations)
+ [URL parameters](#url-parameters)
+ [Locations](#locations)
* [5. Prepare the API payload with parsing instructions](#5-prepare-the-api-payload-with-parsing-instructions)
+ [Job title](#job-title)
+ [Company name](#company-name)
+ [Location](#location)
+ [Date](#date)
+ [Salary](#salary)
+ [Job posted via](#job-posted-via)
+ [URL](#url)
* [6. Define functions](#6-define-functions)
+ [Submit job](#submit-job)
+ [Check job status](#check-job-status)
+ [Get job results](#get-job-results)
+ [Save data to a CSV file](#save-data-to-a-csv-file)
+ [Scrape Google Jobs](#scrape-google-jobs)
* [7. Create the main() function](#7-create-the-main-function)
* [8. Run the complete code](#8-run-the-complete-code)
## Free Google Jobs Scraper
A free tool used to get data about jobs from Google Jobs for a provided search query.
### Prerequisites
To run this tool, you need to have Python 3.11 installed in your system.
### Installation
Open up a terminal window, navigate to this repository and run this command:
```make install```
### Scraping Google Jobs
To scrape jobs from Google Jobs, simply run this command in your terminal with a search query for a job that you need data for:
```make scrape QUERY="<job_query>"```
For this example, let's try scraping for designer jobs. The command should look something like this:
```make scrape QUERY="designer"```
Make sure to enclose your query in quotation marks, otherwise the tool might have trouble parsing it.
After running the command, your terminal should look something like this:
<img width="701" alt="image" src="https://github.com/user-attachments/assets/7958807d-c30b-44fc-bb0a-cd3140ceb7d8">
After the tool has finished running, you should see a file named `jobs.csv` in your current directory.
The CSV file contains available jobs in your area for the position you entered in the query.
The jobs are listed with these attributes:
- `title` - The title of position.
- `company` - The name of the company.
- `location` - The location of the position.
- `url` - The URL of the Google Jobs page for that job.
Here's an example of how the data can look like:
<img width="854" alt="image" src="https://github.com/user-attachments/assets/cfdb3e6e-c57f-46ba-943c-6f58c0e8e9c2">
### Notes
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