# Wellfound Jobs Scraper & API - AngelList Startup Jobs, Equity (`anshumanatrey/wellfound-jobs-search`) Actor

Wellfound jobs scraper and API for wellfound.com, formerly AngelList Talent: startup jobs by role, place and remote, newest first, with salary, equity, company stage and size. Reads every page of a search, adds visa sponsorship and funding with details. No login.

- **URL**: https://apify.com/anshumanatrey/wellfound-jobs-search.md
- **Developed by:** [Anshuman Atrey](https://apify.com/anshumanatrey) (community)
- **Categories:** Jobs, Lead generation, Open source
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 jobs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Wellfound Jobs Scraper & API - AngelList Startup Jobs, Equity

Wellfound jobs scraper and API for wellfound.com, formerly AngelList Talent: search startup jobs by role, place and remote, newest first, and get each job's title, startup, places, remote or office setting, salary and equity, years of experience, startup size, stage and badges, posting date and link. Turn on full details for the description, visa sponsorship, relocation, preferred time zones, skills, the startup's markets and its funding.

Use it as a Wellfound API with no login, an AngelList jobs scraper for remote startup jobs and tech jobs at YC and venture-backed startups, or a daily feed of new startup jobs from the Apify Console, the Apify API, Python, JavaScript, n8n, Make or an AI agent over MCP, and export JSON, CSV or Excel. It reads the public search pages wellfound.com serves to every visitor, every page of each search. Available as an [Apify Actor](https://apify.com/anshumanatrey/wellfound-jobs-search). $0.0027 per job, $0.0029 with full details, $0.005 per run start, no login, no API key.

### What does it do?

- **Reads every page of a Wellfound search, then sorts it newest first.** Wellfound's search pages list startups in its own order, not by date: the newest jobs of a search sit on any of its pages (the 100 newest of the US search were spread over pages 1 to 132 of 167 on 2026-11-10). Wellfound Jobs Scraper reads all of them, so the first rows are the newest jobs of the whole search.
- **Startup data on every row.** Pay and equity as Wellfound shows them, parsed into numbers with their currency; the startup's size, stage (early, growth, scale, public) and badges such as YC Funded, Top Investors, Valuation $1B+ and Recently funded; the remote setting in Wellfound's own words and the countries a remote job hires in.
- **One job title is enough.** Type software engineer and press Start. Wellfound's 518 roles are matched for you, and a title no role fits is found in every job. Leave the form empty for the newest jobs on all of Wellfound.
- **Places the way people type them.** San Francisco, NYC, Bangalore or Bengaluru, California, Germany, Europe, EMEA, Remote India or Worldwide. Wellfound's own place pages hold every town inside a country or region, and a job read from one is matched to it even when its own town is a small one.
- **Filters startup job seekers use.** Remote, hybrid or onsite, job type (cofounder roles included), years of experience, lowest yearly pay in any currency, and startup stage.
- **Full details from each job's page.** Visa sponsorship, relocation, preferred time zones, skills, the startup's website, markets and funding (amount raised, number of rounds, newest round and its month), and every place with its region and country.
- **Checks job links.** Paste Wellfound job links, and each comes back open, closed (taken down) or not found.

### How is it different from other Wellfound scrapers?

- **Newest first across the whole search.** The other Wellfound actors read the first 1 to 10 pages of a search by default, in Wellfound's own order, and sort only what they read. On 2026-11-10 the software engineer search had 89 pages, and its 100 newest jobs were on 46 of them, from page 1 to page 84.
- **No proxy by default.** Wellfound's search pages answer plain requests, so Wellfound Jobs Scraper reads them with no proxy; the most used Wellfound actors default to a paid US residential proxy, billed on top of their prices.
- **Honest counts.** Wellfound shows visitors at most 3 jobs of each startup in a search. Every run says how many jobs Wellfound lists for your search and how many it shows, so you know what a search on Wellfound itself can reach.
- **Typed words, not URLs.** A job title, a place and a filter are enough; a pasted Wellfound search link works too.
- **You pay for what you get.** One charge per delivered row, plus the run start, and a spending limit stops the run cleanly with the jobs it paid for.

Every actor on the Apify Store that names Wellfound or AngelList in its title or slug and had 40 or more users in the last 30 days on 2026-11-10, ordered by users, as each one's listing and input form state it:

| Feature | blackfalcondata | memo23 | clearpath | orgupdate | gio21 | radeance | This actor |
|---|---|---|---|---|---|---|---|
| Users, 30 days | 492 | 155 | 119 | 54 | 53 | 44 | new |
| What you type | A keyword, roles or search links | Search links or a keyword | Search links | Keyword and city | Keyword | Role and city slugs | A job title, a place, or nothing |
| Pages read by default | 10 | up to 1,000 jobs | 1 | 1 | 5 | 1 | every page of the search |
| Newest first | no | optional, within the jobs read | within the pages read | no | no | within the pages read | across every page |
| Proxy by default | US residential | residential | residential recommended | none stated | none stated | none stated | none |
| Pay or equity filter | yes | jobs without pay | no | no | funding stage | yes | yes, and startup stage |
| Job link check: open, closed or not found | no | no | no | no | no | no | yes |

### When should I use it?

- **Job seekers and job boards:** new startup jobs by title, city, remote setting, pay and equity, newest first, on a daily schedule.
- **Recruiters and talent teams:** which startups are hiring for a role right now, at what stage, size and pay.
- **Sales and venture research:** startups hiring as a buying signal, by market, stage and funding, with their websites.
- **Data teams and AI agents:** one clean, stable feed of Wellfound jobs through the API or MCP.

### How much does it cost to scrape Wellfound jobs?

Pay per event: $0.013 per 1,000 jobs, or $0.20 per 1,000 with full details, plus $0.0079 per run at the default 512 MB. Apify's free $5 monthly credit covers about 54,000 jobs in runs of 100. Platform usage is included, and there is no monthly fee.

| Event | Price | When it is charged |
|---|---|---|
| Job | $0.000013 | One saved job, and one checked link that is closed or not found |
| Job with details | $0.0002 | One saved job with full details on |
| Run start | $0.0079 per GB of memory | Charged by Apify when a run starts: once up to 1 GB and once more for each extra GB, so $0.0079 at the default 512 MB |

Wellfound Jobs Scraper's Apify Store header shows the lowest discount-tier price, the GOLD price: $0.01 per 1,000 jobs. FREE users (Apify's Free plan) pay $0.000013 a job and $0.0002 with full details, BRONZE (Starter) $0.000013 and $0.0002, SILVER (Scale) $0.000011 and $0.00016, and GOLD (Business) and the enterprise tiers $0.00001 and $0.00012. Each price is what that row costs on Apify at that plan's own rates, measured on Apify runs, plus a markup of 100% on the Free plan that falls to 85% on Business. A job with details costs more because it opens the job's own page, and Wellfound serves those pages slowly to one address. The run start is a flat fee on every plan, $0.0079 per GB of memory, and the header never shows it.

| Run (Free plan price, default memory) | Cost |
|---|---|
| 100 newest jobs | $0.0092 |
| 100 jobs with full details | $0.028 |
| 1,000 jobs | $0.021 |
| Every job of the last 30 days, 4,060 on 2026-11-10 | $0.061 |

Number of jobs (`maxJobs`) and the run start set the most a run can cost, and a run stops at its spending limit with a message saying so.

### How does the price compare with other Wellfound scrapers?

Every actor on the Apify Store that names Wellfound or AngelList in its title or slug and had 40 or more users in the last 30 days, found by searching the Store for 8 Wellfound and AngelList terms on 2026-11-10 (159 actors read), ordered by users. Free-plan prices from each actor's current pricing.

| Actor | Users, 30 days | Per job | Start fee | Proxy |
|---|---|---|---|---|
| blackfalcondata/wellfound-scraper | 492 | $0.003 | $0.005 | US residential by default, billed on top |
| memo23/wellfound-jobs-scraper | 155 | $0.00099, plus $0.0015 for job details | $0.01 | residential by default |
| clearpath/wellfound-api-ppe | 119 | $0.00299 | $0.00005 | residential recommended |
| orgupdate/wellfound-jobs-scraper | 54 | $0.005 | $0.002 | none stated |
| gio21/wellfound-jobs-scraper | 53 | $0.003 | none | none stated |
| radeance/wellfound-job-listings-scraper | 44 | $0.01 | $0.001 | none stated |
| This actor | new | $0.000013, $0.0002 with details | $0.0079 | none |

Where others are cheaper: a run that saves one or two jobs costs less on clearpath or gio21, and a run of a single job on orgupdate, because their start fees are smaller or none. Where others do more: blackfalcondata, memo23 and clearpath can deliver only the jobs new since your last run and send alerts; memo23 and radeance add company profiles, and memo23 contact emails.

### Which inputs does it take?

Nothing is required. Type a job title and press Start, or press Start with the form empty.

| Field | What it does |
|---|---|
| Job titles to find (`searchTerms`) | One per line, such as software engineer or product designer. Wellfound's own role pages are read, and a job matches when its title has every word. A place typed with the title works too (software engineer in San Francisco), and so does a pasted Wellfound search link |
| Where the job is (`location`) | Cities, US states, countries or regions: San Francisco, NYC, Bangalore, California, Germany, Europe, EMEA. Remote alone asks for remote jobs, Remote India for remote jobs open to India, Worldwide for jobs open anywhere |
| Remote or office (`workType`) | remote, hybrid or onsite, as Wellfound marks the job |
| Job type (`employmentType`) | full-time, contract, intern or cofounder; empty keeps every type |
| Posted in the last (`postedWithin`) | 24 hours, 3 days, 7 days, 30 days (the default), any time, or your own period such as 48 hours |
| Number of jobs (`maxJobs`) | How many, newest first: 100 by default, 0 for every match |
| Full details (`includeDetails`) | Adds the description, visa sponsorship, relocation, time zones, skills, the startup's website, markets and funding, and the city, region and country |
| Leave out words (`excludeTerms`) | Drops jobs whose title has these words, such as senior or intern |
| Lowest yearly pay (`minSalary`) | Keeps jobs whose pay range reaches it, in its currency: 150k USD, 20L INR, 60000 EUR |
| Company stage (`companyStage`) | early, growth, scale or public, as Wellfound marks the startup |
| Experience (`experienceYears`) | Your years: 3, 2-5, 5+ or fresher; a job is kept when the fewest years it asks for is within yours |
| Descriptions too (`searchDescriptions`) | Finds your words in each job's description too, not only the title |
| Only these startups (`companies`) | Startup names or Wellfound company links, found among the jobs the run reads |
| Job links to check (`jobUrls`) | Paste job links to check whether they are still open, instead of searching |
| Connection (`proxyConfiguration`) | Leave it off; turn on Apify Proxy when a run says Wellfound refused the address, or for full details of more than about 60 jobs |

Example input:

```json
{
  "searchTerms": ["software engineer"],
  "location": ["New York City", "Remote"],
  "minSalary": "150k USD",
  "postedWithin": "7 days",
  "maxJobs": 100
}
```

### What does the output look like?

One row per job, newest first. These rows are from a run of the example input (software engineer) on 2026-11-10: Wellfound listed 4,836 jobs for the search and showed 2,649; 266 had both words in the title and went live in the last 30 days, and the 100 newest were saved in 7 s.

| Job title (`title`) | Startup name (`company`) | Main location (`location`) | Remote or office (`workType`) | Pay summary (`salary`) | Posted on (`postedAt`) |
|---|---|---|---|---|---|
| GIS Software Engineer | EdgeQ Technologies | New York City | remote | USD 75,000 - 135,000 per year | 2026-11-10 |
| Full Stack Software Engineer | Moongate | Hong Kong | remote | USD 70,000 - 80,000 per year | 2026-11-10 |
| Staff Software Engineer | FlowGen Labs | San Francisco | onsite | USD 225,000 - 450,000 per year | 2026-11-10 |
| Staff Software Engineer (Applied AI) | Traba | New York City | onsite | USD 240,000 - 300,000 per year | 2026-11-10 |
| Software Engineer, iOS | Mirage | New York | onsite | USD 175,000 - 275,000 per year | 2026-11-10 |

One row as JSON:

```json
{
  "title": "Staff Software Engineer (Applied AI)",
  "company": "Traba",
  "location": "New York City",
  "otherLocations": ["San Francisco"],
  "workType": "onsite",
  "employmentType": "full-time",
  "salary": "USD 240,000 - 300,000 per year",
  "postedAt": "2026-11-10T00:37:18Z",
  "jobUrl": "https://wellfound.com/jobs/5027476-staff-software-engineer-applied-ai",
  "applyUrl": "https://wellfound.com/jobs/5027476-staff-software-engineer-applied-ai",
  "status": "open",
  "platform": "wellfound",
  "companySlug": "traba-work",
  "companyWebsite": null,
  "jobId": "5027476",
  "checkedAt": "2026-11-10T10:59:28+00:00",
  "experienceMin": null,
  "experienceMax": null,
  "salaryMin": 240000,
  "salaryMax": 300000,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "offersEquity": true,
  "equityMin": 0.13,
  "equityMax": 0.24,
  "remoteIn": [],
  "remotePolicy": null,
  "role": "Software Engineer",
  "companySize": "51-200",
  "companyStage": null,
  "companyTagline": "Making the supply chain operate at peak efficiency",
  "companyBadges": ["Actively Hiring", "Growing fast"]
}
```

Full details add `description`, `descriptionHtml`, `visaSponsorship`, `relocation`, `timezones`, `skills`, `industries`, `companyWebsite`, `companyLocation`, `companyFunding`, `fundingRounds`, `latestRound`, `latestRoundDate`, `reposted`, `city`, `region`, `country` and `countryCode`. On 2026-11-10, Cooklist's machine learning engineer job came back with visa sponsorship not available, relocation allowed, Python and Machine Learning as skills, six markets, $3M raised in 1 round, and Austin, Texas, United States. A checked link that is closed or not found comes back with its `status`, the startup when the page names it, and the link. A run also writes an `OUTPUT` record: the Wellfound search pages read, how many jobs they list and show, how many matched and were saved, any notes on how your input was read, and the settings used.

### How fast is it?

Seconds for a role or a city, about a minute for all of Wellfound. Measured on Apify at the default 512 MB on 2026-11-10: the example input read 89 pages in 9.5 s; product manager in New York City 11 pages in 3.5 s; the empty form, every job on Wellfound, 578 pages in 60 s with a 221 MB memory peak; every job of the last 30 days, 4,060 rows in 72 s. Full details read each saved job's page once more, and Wellfound slows one address down after about 60 of them: 9 remote machine learning jobs with details took 2.7 s, 100 jobs 274 s without a proxy and 135 s with Apify Proxy.

### Common questions

#### Is Wellfound the same as AngelList?

Yes. Wellfound is the job site that was called AngelList Talent (angel.co/jobs) until 2022, with the same startups and the same job pages; old angel.co job links lead to wellfound.com. Wellfound Jobs Scraper reads wellfound.com and accepts angel.co job links in Job links to check (`jobUrls`).

#### Why does it read every page of a search?

Wellfound's search pages list startups in Wellfound's own order, not by date, and that order changes while you read it. Reading every page is the only way to know which jobs of a search are the newest, so Wellfound Jobs Scraper reads them all and sorts the jobs by the moment each went live. A job that comes twice while the order changes is kept once.

#### Why does Wellfound show only some of a search's jobs?

Wellfound shows visitors at most 3 jobs of each startup in a search: on 2026-11-10 its software engineer search listed 4,836 jobs and showed 2,649. Wellfound Jobs Scraper reads every job a search shows, says both numbers in each run's message, and reaches more of a startup's jobs when the search is narrower: a role at a place shows up to 3 of that startup's jobs there.

#### Which posting date does it use?

Wellfound Jobs Scraper uses the moment a job went live on Wellfound, to the second, which is also the date in the job page's own markup (10 of 10 links in each of five runs checked on 2026-11-10). A reposted job counts from the day it went up again, as Wellfound shows it ("Reposted: today"); with full details, `reposted` says which jobs those are.

#### How are job titles matched?

Wellfound Jobs Scraper reads Wellfound's own role pages for what you type: software engineer reads the Software Engineer role, senior python developer the Python Developer role, react the React Developer and React Native roles, and marketing Wellfound's marketing page. A job then matches when its title has every word you typed, so frontend also finds Front-End. Tick Descriptions too (`searchDescriptions`) to find your words in the descriptions as well. A title no role fits, such as llm, is looked for in every job on Wellfound (or at your places), which takes about a minute.

#### How do places work?

Wellfound has a page for 473 places: cities, US states, countries and regions. Wellfound Jobs Scraper reads the page of each place you type, and a country's page holds every town in it: on 2026-11-10 India's page held jobs in Sonipat, Vellore and HSR Layout. Bengaluru and Bangalore, NYC and New York City, SF and San Francisco all work, a region such as EMEA or APAC reads Wellfound's pages for its continents and countries, and an Indian town with no page of its own reads its state's.

#### Which job types does Wellfound have?

Wellfound states four job types: full-time (9,722 of 12,460 jobs on 2026-11-10), contract (1,415), internship (881) and cofounder (442), a cofounder role at a startup, usually paid mostly in equity. Wellfound Jobs Scraper keeps them in `employmentType` as full-time, contract, intern and cofounder, and Job type (`employmentType`) filters on them. Wellfound has no part-time or temporary type, so those are left out of the filter with a note.

#### What does remote mean on Wellfound?

Wellfound Jobs Scraper calls a job remote when Wellfound marks it remote: remote only, onsite or remote, or remote with no policy set. Hybrid is in office with work-from-home flexibility, and onsite is in office. `remotePolicy` gives Wellfound's own words, and `remoteIn` the countries, regions or towns a remote job hires in, or Everywhere. Remote India in Where the job is (`location`) keeps remote jobs that hire in India or everywhere; Worldwide keeps those that hire everywhere.

#### How does years of experience work?

Wellfound states the fewest years a job asks for, on about 6 jobs in 10 (64% of 12,460 jobs on 2026-11-10), and rarely a most. Type your years in Experience (`experienceYears`), such as 3, and Wellfound Jobs Scraper keeps the jobs that ask for 3 years or fewer; 2-5 keeps those that ask for 5 or fewer, and fresher those that need no experience. A job that states no years is left out once you set this.

#### How do the pay and equity fields work?

Wellfound Jobs Scraper reads the pay and equity Wellfound shows, such as $175k to $215k with 0.5% to 1% equity, into `salaryMin`, `salaryMax`, `salaryCurrency`, `equityMin` and `equityMax`. Wellfound asks startups for yearly pay, so `salaryPeriod` is year; a few type a monthly figure there. Pay was shown on 64% of jobs on 2026-11-10 and an equity range on 15%. Lowest yearly pay (`minSalary`) keeps the jobs whose range reaches your amount in that currency.

#### What if a search finds nothing?

Wellfound Jobs Scraper says why in the run's message and in its `OUTPUT` record, and charges only the run start. When jobs with your words were left out by a filter, it names the filter that left them out and how to loosen it; when your place has no such jobs on Wellfound, it says Wellfound has no job with your words inside your other filters. The message also shows how your input was read, such as which roles and place pages were used.

#### Does it need a login, a proxy or an API key?

Wellfound Jobs Scraper needs no Wellfound login, no proxy and no API key, because it reads the public search pages wellfound.com serves to every visitor. Wellfound's Cloudflare check refused one address for about 7 minutes after some 1,500 pages from it in 15 minutes (measured on 2026-11-10); a run that meets it slows down, waits, and then saves what it read and says so. Turn on Apify Proxy in Connection (`proxyConfiguration`) if a run says so, or for full details of more than about 60 jobs: Wellfound lets one address open about 60 job pages before it slows it down, and on Apify 100 jobs with details took 274 s without a proxy and 135 s with Apify Proxy (2026-11-10). The proxy does not change the price.

#### Does it work on Apify's free plan?

Wellfound Jobs Scraper works on Apify's free plan: $0.000013 a job plus the $0.0079 run start. The free $5 monthly credit pays for about 54,000 jobs in runs of 100.

#### How often should I run it?

Running Wellfound Jobs Scraper once a day keeps a startup job feed fresh: set Posted in the last (`postedWithin`) to 24 hours and Number of jobs (`maxJobs`) to 0 to get every job that went live that day: 202 in the 24 hours before a run on Monday 2026-11-10. Set the run up under Schedules in Apify Console, and match rows on `jobId` to skip jobs you already have.

#### How do I check a list of job links?

Wellfound Jobs Scraper checks whether Wellfound job links are still open when you paste them into Job links to check (`jobUrls`), one per line, instead of searching. Each link comes back as one row: open with the job's fields from its page, closed when Wellfound has taken it down, or not found.

#### How do I call it from the API, Python, JavaScript, n8n or an AI agent?

Wellfound Jobs Scraper runs from the Apify API, Python, JavaScript, n8n, Make or an AI agent over MCP. Each way uses your Apify token (Apify Console, Settings, API & Integrations) and takes the input as JSON keyed by the field names, such as `searchTerms` and `maxJobs`.

**API.** One call runs the actor and returns its rows. Apify stops that wait after 300 seconds, which covers any search; full details of many jobs can take longer, and a client below waits as long as a run takes.

```bash
curl -X POST "https://api.apify.com/v2/acts/anshumanatrey~wellfound-jobs-search/run-sync-get-dataset-items" \
  -H "Authorization: Bearer <YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["software engineer"]}'
```

**Python** (`pip install apify-client`):

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("anshumanatrey/wellfound-jobs-search").call(run_input={"searchTerms": ["software engineer"]})
for row in client.dataset(run.default_dataset_id).iterate_items():  # apify-client 3+; on 2.x use run["defaultDatasetId"]
    print(row["title"], row["company"], row["location"], row["salary"], row["equityMin"], row["jobUrl"])
```

**JavaScript** (`npm install apify-client`):

```js
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('anshumanatrey/wellfound-jobs-search').call({ searchTerms: ['software engineer'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const row of items) console.log(row.title, row.company, row.location, row.salary, row.equityMin, row.jobUrl);
```

**n8n and Make.** In n8n, add the Apify node, pick Run an Actor and get dataset, choose this actor and paste the input JSON: the rows come out as n8n items. In Make, the Apify app's Run an Actor and Get Dataset Items modules do the same.

**AI agents (MCP).** Add `https://mcp.apify.com?tools=anshumanatrey/wellfound-jobs-search` to your MCP client and sign in with Apify, or send `Authorization: Bearer <YOUR_APIFY_TOKEN>`. The agent gets this actor as a tool and sees every input field by its JSON key.

#### Am I charged for closed jobs?

Wellfound Jobs Scraper charges for a closed job only when you paste its link to check. A search returns open jobs, and a pasted link that turns out closed or not found is one Job row, because it was checked and answered.

#### Is it legal to use?

Wellfound Jobs Scraper reads public job postings that Wellfound shows to every visitor. You are responsible for how you use the data, including Wellfound's terms and the privacy laws that apply to you. Wellfound Jobs Scraper is not made or endorsed by Wellfound; the Wellfound name and logo identify the site it reads.

### Limitations

- Wellfound shows visitors at most 3 jobs of each startup in a search; a startup's other jobs there are not on its search pages, and its own company page sits behind a browser check this actor does not pass.
- Wellfound's order shifts while a search is read, so one read sees about 95% of a search's startups (452 of 463 in a measured search); a job that comes twice is kept once.
- Pay is shown on 64% of jobs, an equity range on 15%, years of experience on 64% and a startup stage on 43% (12,460 jobs, 2026-11-10).
- A sign several currencies share (¥, ₨, kr) gives no currency on a search row; full details read it from the job page.
- About 2 in 100 job pages carry no structured data (2 of 139 opened on 2026-11-10). Wellfound Jobs Scraper reads those jobs from the page itself: their full details lack the company website, markets and each place's country, and a checked link to one has no posting time, which such a page shows only as "5 days ago".
- Visa sponsorship, relocation, time zones, skills, markets and funding come with full details only, one more page per job. Wellfound slows one address down after about 60 job pages: on Apify, 100 jobs with details took 274 s without a proxy, 135 s with Apify Proxy (2026-11-10).
- Wellfound's Cloudflare serves each search page from a copy it refreshes about once a day (copies 4 to 23 hours old on 2026-11-10), so a job posted in the last hours can be missing until its page refreshes. Rows come newest first among the jobs those pages show.
- A title no Wellfound role fits, and a place with no Wellfound page, read every job on Wellfound, about a minute.
- Wellfound's Cloudflare check refused one address for about 7 minutes after some 1,500 pages in 15 minutes (2026-11-10). A run that meets it saves what it read and says so.

### Who maintains it?

Built and maintained by **Anshuman Atrey** ([@AnshumanAtrey](https://github.com/AnshumanAtrey)), who publishes a portfolio of data and OSINT actors on Apify Store. For a feature request or a bug, message [LinkedIn](https://linkedin.com/in/anshumanatrey) (fastest), open an issue on the GitHub repo, or write through [atrey.dev](https://atrey.dev).

### Sibling actors

| Actor | What it searches |
|---|---|
| [Greenhouse Jobs Scraper](https://apify.com/anshumanatrey/greenhouse-jobs-search) | Jobs from every company on Greenhouse, searched live |
| [Lever Jobs Scraper](https://apify.com/anshumanatrey/lever-jobs-search) | Jobs from 2,300+ companies on Lever (jobs.lever.co), searched live |
| [Ashby Jobs Scraper](https://apify.com/anshumanatrey/ashby-jobs-search) | Jobs from every company on Ashby (jobs.ashbyhq.com), where many startups post |
| [Workday Jobs Scraper](https://apify.com/anshumanatrey/workday-job-search) | Jobs from every company on Workday (myworkdayjobs.com), searched live |
| [SmartRecruiters Jobs Scraper](https://apify.com/anshumanatrey/smartrecruiters-jobs-search) | Jobs from 2,900+ companies on SmartRecruiters, searched live |
| [Workable Jobs Scraper](https://apify.com/anshumanatrey/workable-job-search) | Jobs from every company on Workable, in one search |
| [Deel Jobs Scraper](https://apify.com/anshumanatrey/deel-jobs-search) | Jobs from every company on Deel ATS (jobs.deel.com), with pay |
| [Cornerstone Jobs Scraper](https://apify.com/anshumanatrey/cornerstone-jobs-search) | Jobs from every company on Cornerstone (csod.com), searched live |

For the people behind a company: [LinkedIn Profile Finder](https://apify.com/anshumanatrey/linkedin-harvester) turns an email into a public LinkedIn profile.

### Documentation

- Apify Store: https://apify.com/anshumanatrey/wellfound-jobs-search
- GitHub repo: https://github.com/AnshumanAtrey/wellfound-jobs-search (MIT license, see [LICENSE](LICENSE))
- The engine behind it: https://github.com/AnshumanAtrey/ats-jobs-engine

### Last updated

2026-11-10 (version 1.0)

# Actor input Schema

## `searchTerms` (type: `array`):

Type the job titles or roles to find, one per line, for example software engineer or product designer. Wellfound's own role pages are read for them, and a job matches when its title has every word of a line: frontend also finds Front-End. A place typed with the title works too: software engineer in San Francisco. Leave it empty to get the newest jobs of every kind. A pasted Wellfound search link (wellfound.com/role/l/software-engineer/san-francisco) works too.

## `location` (type: `array`):

Type where the jobs should be: cities, US states, countries or regions, one per line, for example San Francisco, New York City, Bangalore, Germany, Europe or EMEA. Wellfound's own place pages are read, so a country finds every town in it. Remote alone asks for remote jobs, Remote India for remote jobs open to India, Worldwide for jobs open anywhere. Leave it empty for anywhere.

## `workType` (type: `array`):

Pick remote, hybrid or onsite. Leave it empty for all three. Remote is what Wellfound marks remote: remote only, onsite or remote, or remote with no policy. Hybrid is in office with work-from-home flexibility, and onsite is in office. Typed words such as wfh or in office work too.

## `employmentType` (type: `array`):

Pick the job types to keep: full-time, contract, intern or cofounder (a cofounder role at a startup, usually with equity). Leave it empty for every type. Wellfound states one type per job and has no part-time or temporary type. Typed words such as internship, freelance or co-founder work too.

## `postedWithin` (type: `string`):

Pick how new the jobs must be: posted in the last 24 hours, 3 days, 7 days or 30 days. 30 days, the default, keeps the last month's jobs, newest first, and any time keeps every open job: Wellfound keeps some up for years. A repost counts from the day it went up again. You can also type your own period, such as 48 hours or 2 weeks.

## `maxJobs` (type: `integer`):

Type how many jobs to get, newest first: 100 by default. Type 0 to get every matching job. Each job is one charged row, so this sets the most a run can cost.

## `includeDetails` (type: `boolean`):

Tick to add the full details of each job from its own page: the description as text and HTML, every place with its region and country, pay with its currency from the page's markup, visa sponsorship, relocation, preferred time zones, skills, the company's website, markets, headquarters and funding (amount raised, rounds and the newest round). The run reads each saved job's page once more.

## `excludeTerms` (type: `array`):

Type words that leave a job out when its title has them, one per line, for example senior or intern. Leave it empty to keep every job.

## `minSalary` (type: `string`):

Type the lowest yearly pay to keep, with its currency: 150000 USD, 150k, 20L INR or 60000 EUR. A job is kept when the top of its pay range reaches it in that currency; a job with no pay shown or pay in another currency is left out. A number alone is US dollars. Leave it empty for any pay.

## `companyStage` (type: `array`):

Pick the startup stages to keep, as Wellfound marks them: early (seed and first rounds), growth, scale or public. A company with no stage mark is left out when you pick one. Leave it empty for every company.

## `experienceYears` (type: `string`):

Type your years of experience: a number such as 3, a range such as 2-5, 5+ for 5 or more, or fresher for 0. Wellfound states the fewest years a job asks for, on about 6 jobs in 10, and a job is kept when that number is within your years or below them; a job that states none is left out. Leave it empty for any experience.

## `searchDescriptions` (type: `boolean`):

Tick to match your words in each job's description too (descriptions too), not only in its title: python then finds every job whose description mentions Python. Wellfound's search pages carry the description, so this costs no extra reading.

## `companies` (type: `array`):

Type startup names to keep only their jobs, one per line, for example Calm, or paste a Wellfound company link (wellfound.com/company/calm). They are found among the jobs your other fields read, by name or slug; with nothing else typed, among every job on Wellfound. Leave it empty for every startup.

## `jobUrls` (type: `array`):

Paste Wellfound job links to check whether they are still open, one per line, instead of searching. Each link comes back open with the job and its full page, closed (taken down), or not found. Old angel.co job links work too.

## `proxyConfiguration` (type: `object`):

Leave the connection as it is: Wellfound's search pages answer the run's own address. Turn on Apify Proxy when a run says Wellfound's Cloudflare check refused the address, or for full details of more than about 60 jobs (Wellfound slows one address down after about 60 job pages); the run then moves to a fresh proxy address after a refusal.

## Actor input object example

```json
{
  "searchTerms": [
    "software engineer"
  ],
  "location": [
    "San Francisco"
  ],
  "workType": [
    "remote"
  ],
  "employmentType": [
    "full-time"
  ],
  "postedWithin": "7 days",
  "maxJobs": 100,
  "includeDetails": false,
  "excludeTerms": [
    "senior"
  ],
  "minSalary": "150k USD",
  "companyStage": [
    "early",
    "growth"
  ],
  "experienceYears": "3",
  "searchDescriptions": false,
  "companies": [
    "Calm"
  ],
  "jobUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

Every saved job, newest first: title, startup, places, remote, hybrid or onsite, pay and equity, years of experience, startup size, stage and badges, posting date and link, and with details on the description, visa sponsorship, time zones, skills and funding. Export as JSON, CSV or Excel.

## `summary` (type: `string`):

The OUTPUT record in the default key-value store: jobs Wellfound listed and showed, jobs matched and saved, the search pages read, checked links, notes about how the input was read, and the settings used.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxJobs": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("anshumanatrey/wellfound-jobs-search").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "maxJobs": 100 }

# Run the Actor and wait for it to finish
run = client.actor("anshumanatrey/wellfound-jobs-search").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxJobs": 100
}' |
apify call anshumanatrey/wellfound-jobs-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,anshumanatrey/wellfound-jobs-search"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/b93laTcCttdlJIKzO/builds/wPv4Cu1rbnsHrnVUs/openapi.json