StepStone Jobs Scraper - Cheap 💼
Pricing
$19.49/month + usage
StepStone Jobs Scraper - Cheap 💼
Collect job listings from StepStone.de by keyword 🧑💻. Get titles, locations, companies, salaries 💸, employment types 🏢, remote options 🌍 & more. Ideal for job seekers, recruiters & analysts to explore roles, track trends & gather data fast and efficiently.
5.0 (1)
Pricing
$19.49/month + usage
1
Total users
2
Monthly users
2
Last modified
2 days ago
You can access the StepStone Jobs Scraper - Cheap 💼 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 "keyword": "ai",
10 "place": "Berlin",
11 "sort_by": "Date",
12 "rayon": "75 km",
13 "maxitems": 70,
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("scrapestorm/stepstone-jobs-scraper---cheap").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startStepStone Jobs Scraper - Cheap 💼 API in Python
The Apify API client for Python is the official library that allows you to use StepStone Jobs Scraper - Cheap 💼 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
