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Wellfound job scraper

Deprecated

Pricing

$20.00/month + usage

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Wellfound job scraper

Wellfound job scraper

Deprecated

Developed by

SASWAVE

SASWAVE

Maintained by Community

Wellfound job listing scraper. Runtime and consumption optimised. Extract job details and company details from a wellfound.com job search url. Collect companies data about: social network accounts, website, employee count, location, funding, total jobs and more

0.0 (0)

Pricing

$20.00/month + usage

1

Total users

21

Monthly users

3

Runs succeeded

0%

Issue response

86 days

Last modified

2 months ago

You can access the Wellfound job scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=saswave/wellfound-job-scraper"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Wellfound job scraper via Model Context Protocol (MCP) server

MCP server lets you use Wellfound job scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Wellfound job scraper Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "url": "https://wellfound.com/role/l/software-engineer/united-states",
$ "proxyConfiguration": {
$ "useApifyProxy": true,
$ "apifyProxyGroups": [
$ "RESIDENTIAL"
$ ]
$ }
$},
$ "name": "saswave/wellfound-job-scraper"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for Wellfound job scraper

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"saswave/wellfound-job-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.