AI Jobs Scraper (aijobs.net) — ML & Data Roles
Pricing
Pay per event
Scrape AI, machine learning and data science jobs from aijobs.net: ML engineer, data scientist, MLOps, research scientist, more. Each record has title, company, location, remote flag, seniority, salary band, posted date and apply URL. Filter by keyword and location; company + description included.
You can access the AI Jobs Scraper (aijobs.net) — ML & Data Roles 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 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
10# Run the Actor and wait for it to finish11run = client.actor("nomad-agent/ai-jobs-net-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 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 AI Jobs Scraper (aijobs.net) — ML & Data Roles API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: