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Wellfound Jobs Scraper (AngelList Startup Jobs)

Scrape startup jobs from Wellfound (AngelList Talent) by role and city or remote: title, salary and equity ranges, job type, location, posted date, description, and the company’s size, stage and tagline. No login.

Run Wellfound Jobs Scraper (AngelList Startup Jobs) on Apify →

Pricing

Apify planPer jobPer 1,000
Free plan$0.002$2
Starter$0.0016$1.60
Scale$0.0014$1.40
Business$0.0012$1.20
Enterprise$0.0012$1.20
Enterprise+$0.0012$1.20

Primary event rates from a catalog snapshot; this is not the total price of a run. Additional charge events and Actor Start fees may apply; start fees can scale with memory. Check the Actor's Pricing tab on Apify for all events, conditions and current plan-specific rates, and set a maximum run budget before starting.

Sample output

No recorded sample is available yet.

Call from code

Use the existing catalog input below as a starting point. Review the tool's input form on Apify before running it.

import json
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("webdatatools/wellfound-jobs-scraper").call(run_input=json.loads("{\n    \"roles\": \"software engineer\",\n    \"locations\": \"New York\",\n    \"remoteOnly\": false\n}"))

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('webdatatools/wellfound-jobs-scraper').call({
    "roles": "software engineer",
    "locations": "New York",
    "remoteOnly": false
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
curl -X POST "https://api.apify.com/v2/acts/webdatatools~wellfound-jobs-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"roles":"software engineer","locations":"New York","remoteOnly":false}'

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