EURES Jobs Scraper
Pricing
Pay per usage
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EURES Jobs Scraper
Search the European Commission's EURES job portal by words, countries, occupation and posting date. One row per job, with plain field names.
EURES Jobs Scraper
Pricing
Pay per usage
Search the European Commission's EURES job portal by words, countries, occupation and posting date. One row per job, with plain field names.
You can access the EURES 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 API & Integrations 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 "keywords": "software developer",10 "countries": ["IE"],11 "maxItems": 20,12}13
14# Run the Actor and wait for it to finish15run = client.actor("sampon/eures-jobs").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")19for item in client.dataset(run.default_dataset_id).iterate_items():20 print(item)21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use EURES Jobs Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: