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
10
Monthly users
54
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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "queries": """Teacher
10Accountant
11Software Engineer""",
12 "maxPagesPerQuery": 1,
13 "countryCode": "",
14 "googleDomain": "",
15}
16
17# Run the Actor and wait for it to finish
18run = 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:
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
ONE PAGE
$0.01
Price for 1 page, usually 10 jobs results. For 1000 jobs results, it cost 1 USD.
