Google Jobs Scraper
Pricing
Pay per event
Google Jobs Scraper
Google Jobs Scraper is to enable you to scrape Google Jobs Results, extract "googleJobs", "categories". Allow customizing country or language or job radius and extraction of custom attributes. Download data as HTML table, JSON, CSV, Excel, XML.
0.0 (0)
Pricing
Pay per event
11
Total users
922
Monthly users
58
Runs succeeded
>99%
Last modified
a month ago
You can access the Google Jobs Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "queries": """Teacher10Accountant11Software Engineer""",12 "maxPagesPerQuery": 1,13 "countryCode": "",14 "googleDomain": "",15}16
17# Run the Actor and wait for it to finish18run = client.actor("dan.scraper/google-jobs-scraper").call(run_input=run_input)19
20# Fetch and print Actor results from the run's dataset (if there are any)21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])22for item in client.dataset(run["defaultDatasetId"]).iterate_items():23 print(item)24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startGoogle Jobs Scraper API in Python
The Apify API client for Python is the official library that allows you to use Google Jobs Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
