Wellfound Jobs Scraper
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See alternative ActorsWellfound Jobs Scraper
2 hours trial then $30.00/month - No credit card required now
A job scraper for Wellfound (formerly AngelList Talent) is essentially a tool to extract job listings and associated job details from the Wellfound platform.
You can access the Wellfound Jobs Scraper 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 "proxy": {
10 "useApifyProxy": True,
11 "apifyProxyCountry": "US",
12 "apifyProxyGroups": ["RESIDENTIAL"],
13 },
14 "listingStartUrls": [{ "url": "https://wellfound.com/role/l/devops-engineer/seattle" }],
15 "jobsFilterFunction": "async ({ jobs }) => jobs.filter(({ published }) => ['today','yesterday','2 days ago','3 days ago','4 days ago','5 days ago','6 days ago','7 days ago'].includes(published))",
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("mscraper/wellfound-jobs-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24 print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Wellfound Jobs Scraper API in Python
The Apify API client for Python is the official library that allows you to use Wellfound Jobs Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include: