Google Jobs Scraper

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "startUrls": ["https://www.google.com/search?sca_esv=593729410&q=Software+Engineer+jobs&uds=AMIYvT8-5jbJIP1-CbwNj1OVjAm_ezkS5e9c6xL1Cc4ifVo4bFIMuuQemtnb3giV7cKava9luZMDXVTS5p4powtoyb0ACtDGDu9unNkXZkFxC0i7ZSwrZd_aHgim6pFgOWgs0dte0pnb&sa=X&ictx=0&biw=1621&bih=648&dpr=2&ibp=htl;jobs&ved=2ahUKEwjt-4-Y6KyDAxUog4kEHSJ8DjQQudcGKAF6BAgRECo"],
9    "maxItems": 20,
10    "endPage": 1,
11    "queries": ["teacher"],
12    "locationUule": "w+CAIQICIIaXN0YW5idWw=",
13    "radius": 300,
14    "extendOutputFunction": "($) => { return {} }",
15    "customMapFunction": "(object) => { return {...object} }",
16    "proxy": { "useApifyProxy": True },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("epctex/google-jobs-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25    print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start