Wellfound Jobs Scraper avatar
Wellfound Jobs Scraper
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Wellfound Jobs Scraper

Wellfound Jobs Scraper

mscraper/wellfound-jobs-scraper
Try for free

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.

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "proxy": {
9        "useApifyProxy": True,
10        "apifyProxyCountry": "US",
11        "apifyProxyGroups": ["RESIDENTIAL"],
12    },
13    "listingStartUrls": [{ "url": "https://wellfound.com/role/l/devops-engineer/seattle" }],
14    "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))",
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("mscraper/wellfound-jobs-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
  • 4 monthly users
  • 100.0% runs succeeded
  • days response time
  • Created in May 2023
  • Modified 6 months ago
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