MyActor
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MyActor
No credit card required
JobScan AI is a powerful solution for job search and information extraction, combining the intelligence of Generative AI and Google. This actor is designed to scrape job postings directly from Google and major job sites, unifying results into a structured and easy-to-use format.
You can access the MyActor programmatically from your own Python 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 "optional_keywords": ["Software Engineer"],
10 "mandatory_keywords": [
11 "Remote",
12 "Full-time",
13 ],
14 "search_sites": [
15 "boards.greenhouse.io",
16 "jobs.lever.co",
17 "myworkdayjobs.com",
18 "careers.smartrecruiters.com",
19 "jobs.jobvite.com",
20 "careers.icims.com",
21 "angel.co",
22 "stackoverflow.com/jobs",
23 "weworkremotely.com",
24 "remotive.io",
25 "bamboohr.com",
26 "https://www.linkedin.com/jobs",
27 ],
28}
29
30# Run the Actor and wait for it to finish
31run = client.actor("serafimc/myactor").call(run_input=run_input)
32
33# Fetch and print Actor results from the run's dataset (if there are any)
34print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
35for item in client.dataset(run["defaultDatasetId"]).iterate_items():
36 print(item)
37
38# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
MyActor API in Python
The Apify API client for Pythonis the official library that allows you to use MyActor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
Actor Metrics
2 monthly users
-
1 star
>99% runs succeeded
Created in Jan 2025
Modified 5 days ago