# Wellfound Startup Jobs Scraper with Salary and Equity (`gubidonius/wellfound-jobs`) Actor

Startup jobs from Wellfound with pay and equity as numbers you can sort. Wellfound quotes each job in the local currency, so an Indian job shows 5.5L. L is a lakh, so that is 550,000 rupees, and tools that assume the k convention report 5,500. Duplicate jobs are removed before you are charged.

- **URL**: https://apify.com/gubidonius/wellfound-jobs.md
- **Developed by:** [Gregory Bolshakov](https://apify.com/gubidonius) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Wellfound Startup Jobs Scraper with Salary and Equity

Reads startup jobs from Wellfound and gives you pay and equity as numbers you can sort and
filter. No key and no login.

### The problem this solves

Wellfound writes pay and equity into one line of text, and it quotes every job in the local
currency of the company. A job in the United States shows `$200k` and a job in India shows
`5.5L`. The L is a lakh, which is 100,000. So that job pays 550,000 rupees a year.

Most tools read the number and apply the k convention, because that is what almost every row
looks like. Then the Indian job comes back as 5,500. The run works, the column is full, and
the number is wrong by a factor of a hundred.

This Actor expands k, lakh and crore, keeps the currency code on every row, and does not
convert between currencies. If a suffix is one it does not know, it returns nothing for that
row and writes a note saying why. A blank you can see is better than a number you cannot
trust.

### Equity

Three things can be true about equity and most tools store two.

- The job publishes a band, for example 0.25 percent to 0.5 percent
- The job says No equity
- The job says nothing at all

The third one is not zero. `equityDisclosure` is `range`, `none` or `not-stated`, so you can
filter on jobs that actually offer equity, and separately on jobs that told you they do not.

### Duplicate jobs

The same job is often reachable from several role and location pages. Rows are matched on
title, company, location and remote flag, not on the job id, and duplicates are dropped before
you are charged. `RUN_SUMMARY` in the key value store tells you how many were dropped.

### Input

| Field | What it does |
|---|---|
| `roles` | Role names, for example software-engineer or product-manager. Plain names work too |
| `locations` | City or country names. Leave empty to read the remote board for each role |
| `remoteOnly` | Read only the remote board. This overrides `locations` |
| `maxResults` | Upper bound for the whole run, across every role and location |
| `maxPagesPerTarget` | Ceiling on pages. Paging stops early when a page repeats jobs you already have |

### Output

One row per job with `salaryMin`, `salaryMax`, `salaryCurrency`, `equityMin`, `equityMax`,
`equityDisclosure`, the company, the locations and the original text in `compensationRaw` so
you can check the parse yourself.

The location line can end in a plus and a number, which means Wellfound is hiding some
locations. That count goes in `moreLocations`. It is never glued onto the last city name.

### What it does not do

It does not convert currencies. It does not read the full job description page. It returns
what the role and location boards show.

### Price

0.002 dollars per run and 0.003 dollars per job. Both are charged after the rows exist, so a
run that finds nothing costs nothing. Duplicates are removed before jobs are counted.

# Actor input Schema

## `roles` (type: `array`):

Wellfound role slugs or plain names, for example software-engineer, product-manager, designer. Names are slugged for you.

## `locations` (type: `array`):

City or country names, for example new-york, london, bangalore. Leave empty to read the remote board for each role.

## `remoteOnly` (type: `boolean`):

Read only each role's remote board and ignore the locations above.

## `maxResults` (type: `integer`):

Upper bound on jobs for the WHOLE run, across every role and location. You are never charged for more than this.

## `maxPagesPerTarget` (type: `integer`):

Paging stops early when a page repeats jobs already collected, so this is a ceiling rather than a target.

## Actor input object example

```json
{
  "roles": [
    "software-engineer"
  ],
  "locations": [
    "new-york"
  ],
  "remoteOnly": false,
  "maxResults": 100,
  "maxPagesPerTarget": 5
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "roles": [
        "software-engineer"
    ],
    "locations": [
        "new-york"
    ],
    "maxResults": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("gubidonius/wellfound-jobs").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 = {
    "roles": ["software-engineer"],
    "locations": ["new-york"],
    "maxResults": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("gubidonius/wellfound-jobs").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 '{
  "roles": [
    "software-engineer"
  ],
  "locations": [
    "new-york"
  ],
  "maxResults": 100
}' |
apify call gubidonius/wellfound-jobs --silent --output-dataset

```

## MCP server setup

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

```

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/Zw4obaM45z2ki19d6/builds/sGvYGwHTHndKJGeY2/openapi.json