Wellfound Jobs Scraper

Every startup job on Wellfound (formerly AngelList Talent) for the roles and cities you choose — with the salary range, years of experience, remote setup, the startup's size and funding stage, and the full description, as clean JSON. Schedule it and you get only the jobs posted since the last run.

How "new since last run" works

Don't know which companies to watch? The Greenhouse Jobs Scraper searches 4,800 companies by job title, with no company names needed, and reports exactly which matching roles are new or closed each run.

The Actor remembers which jobs each search returned last time. A job it has not seen before is marked isNewSinceLastRun: true. If the whole search fits within Max jobs, the comparison is exact and jobs that disappeared come back as type: "closed" rows. If the search is bigger than Max jobs, a job only counts as new when it was also posted after your previous run, so an old job that merely moved into view is never reported as new.

Filters (title, location text, salary, remote) never change the comparison, so changing a filter never makes jobs look new.

What you get

Field
title, role, company, companyUrl, companyTagline	the job, Wellfound's role category, and the startup with its one-line pitch
companySize, companyStage, activelyHiring	employee band (e.g. 51-200), funding stage badge (e.g. Early Stage, Growth Stage), and whether Wellfound marks it as actively hiring
location, locations, remote, workplaceType, remoteLocations	cities, remote flag, ONSITE / HYBRID / REMOTE, and where remote hires may live
salaryText, salaryMin, salaryMax, salaryCurrency, salaryInterval	the pay range as Wellfound shows it (e.g. "$170k – $250k") and parsed into numbers
employmentType, yearsExperienceMin, yearsExperienceMax	full-time / contract / internship, and the experience asked for
description	the full job text
postedAt	when the job went live
isNewSinceLastRun	true / false, or null on the first run (unknown, not "old")
jobUrl	link to the job on Wellfound
search	which of your searches returned it

Searches are Wellfound roles (e.g. "software engineer", "product manager"); add a location for a role-in-a-city page, or paste any Wellfound role or location URL.

Input

Put one search per line in Searches (e.g. software engineer) and optionally a Location (e.g. San Francisco). Or set the filters on the site and paste the result page into Search URLs (e.g. https://wellfound.com/role/l/software-engineer/san-francisco) — every filter the site has then applies. Many searches in one run are cheaper than one run each.

A search the site refuses comes back as an error row and the run carries on. When the job board itself is down or failing (HTTP 5xx or no answer), the error row says so and carries sourceDown: true, so you can tell it from a problem in this Actor; nothing is charged for what could not be read.

Only public job listings are read, without signing in. Personal names of recruiters are not returned, and e-mail addresses and phone numbers inside job texts are removed. This Actor is not affiliated with or endorsed by Wellfound; you are responsible for how you use the data and for following the terms of the site.

Example output

One real row from a test run (long text shortened here with …).

{
  "type": "job",
  "provider": "wellfound",
  "search": "software engineer",
  "searchLocation": "San Francisco",
  "jobId": "4787364",
  "title": "Software Engineer",
  "role": "Software Engineer",
  "company": "Chalk",
  "companyUrl": "https://wellfound.com/company/chalk-ai",
  "companyTagline": "Building machine learning infrastructure to answer the world’s hardest questions",
  "companySize": "51-200",
  "companyStage": "Early Stage",
  "activelyHiring": true,
  "location": "New York City, San Francisco",
  "locations": [
    "New York City",
    "San Francisco"
  ],
  "remote": false,
  "workplaceType": "ONSITE",
  "remoteLocations": [],
  "employmentType": "full-time",
  "salaryText": "$170k – $250k",
  "salaryMin": 170000,
  "salaryMax": 250000,
  "salaryCurrency": "USD",
  "salaryInterval": "year",
  "yearsExperienceMin": 4,
  "yearsExperienceMax": null,
  "postedAt": "2026-09-30T23:42:54.000Z",
  "description": "**About Chalk**\n\nChalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barrie…",
  "jobUrl": "https://wellfound.com/jobs/4787364-software-engineer",
  "countryCode": null,
  "seniority": "mid",
  "employmentTypes": [
    "full-time"
  ],
  "isNewSinceLastRun": false
}

Get only the new jobs every morning (3 steps)

1. Open this Actor in Apify Console, fill in your searches, set What to return to Only jobs that are new since the last run, and click Save as a new task.
2. On the task, add a Schedule, for example daily at 07:00.
3. Open the task's Integrations tab and connect Slack, email, Google Sheets (or Zapier / Make / a webhook). Each morning you get only the new jobs.

You pay only for the new jobs plus $0.01 per run, so a quiet day costs about a cent. When you export by hand, pick the Jobs view: 14 tidy columns, title first, instead of every raw field.

Pricing

$1.50 per 1,000 jobs, plus $0.01 per run. Closed-job rows and errors are free. With Only jobs that are new since the last run, a daily schedule only pays for the new ones.

For AI agents

For a fast answer call with {"searches": ["software engineer"], "maxJobsPerSearch": 20}. It takes a few seconds. The defaults (up to 200 jobs) can take about 2 minutes, which is longer than many agent tool timeouts. Each row has type: job, closed or error. isNewSinceLastRun: null means "no previous run to compare with".

Use it from Claude Code (or another coding agent)

Save this as ~/.claude/skills/wellfound-jobs/SKILL.md (other agents that read SKILL.md files: their skills folder), put your Apify API token in the APIFY_TOKEN environment variable, and ask the agent in plain words, for example "Any new software engineer jobs on Wellfound since yesterday?".

---
name: wellfound-jobs
description: Job listings from Wellfound by keyword, location and filters, and only the jobs that are new since the last run. Runs the Apify Actor northbell/wellfound-jobs-scraper with the user's APIFY_TOKEN.
---
Run: curl -s -X POST "https://api.apify.com/v2/acts/northbell~wellfound-jobs-scraper/run-sync-get-dataset-items?timeout=300" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"searches":["software engineer"],"maxJobsPerSearch":50,"output":"new"}'
"output": "new" returns only jobs not seen in the previous run (the first run returns all). Use "all" for a one-off list.
Rows have type job, closed or error. Never print the token. Tell the user the price on the Actor's Store page before a large run.

Prefer MCP? Add https://mcp.apify.com?tools=northbell/wellfound-jobs-scraper as a remote MCP server (in Claude Code: claude mcp add --transport http apify "https://mcp.apify.com?tools=northbell/wellfound-jobs-scraper") and sign in to Apify when asked; the Actor then shows up as a tool.

Same filters on every site (10/2026): experience level (read from the title: intern → executive, returned as a seniority column) and employment type (the site's own words normalised into full-time / part-time / contract / temporary / internship, returned as employmentTypes). They only narrow what is returned, with no extra requests and no extra cost.

Zero rows is never ambiguous. The run's status message says why, per search, e.g. "zzz": no results on the site, results found but all removed by your filters or nothing new since the last run, and the OUTPUT record in the run's key-value store has the same as JSON: perSearch[].status is ok, no-results, all-filtered, nothing-new or error, with listed, read, returned, new and closed. Set summaryRows: true to get it as free type: "summary" rows instead.

Same core columns on every northbell job scraper (15 job sites + 10 company-career-page scrapers), so you can stack them into one table: jobId, title, company, location, countryCode (ISO, job sites), remote (true / false / null), employmentType (the site's own words), postedAt, jobUrl, salaryMin, salaryMax, salaryCurrency, salaryInterval, isNewSinceLastRun. Unknown is null, never a guess.

More job scrapers from northbell

Job sites: SEEK · Instahyre · Reed · InfoJobs · XING · Dice · HelloWork · Computrabajo · Foundit · jobs.ch · Arbeitsagentur · Job-Room · Platsbanken · eFinancialCareers · MyCareersFuture · EURES · USAJOBS · Job Bank · Internshala · Gupy · CutShort · iimjobs & hirist · Naukrigulf · Jobindex · karriere.at · Arbeitnow · Wellfound · Remote OK · We Work Remotely · Just Join IT & No Fluff Jobs · OnlineJobs.ph.

Company career pages with exact new/closed tracking: Greenhouse · Lever · Workday · AI companies.