The NanoScrape Website Job Extractor Browser Scraper is an Apify actor that extracts enrichment data from Website Job Extractor Browser. It returns 20 fields per result including title, location, description, company_name, salary_range, priced at $50/1k company processed (browser), with no API key or monthly subscription required.
Extract jobs from JS-rendered career pages using AI and browser rendering. Returns title, location, salary, requirements, and application URL. Handles React/Vue/Angular. Pay-per-result.
| Field | Type | Example | Group | Fill % |
|---|---|---|---|---|
company_id | string | meta | Core | 100% |
company_name | string | Meta | Core | 100% |
title | string | null | [ATS detected: workday] — use Career Site Jobs Scraper | Core | 2% |
source_url | string | https://www.metacareers.com/jobs | Core | 2% |
application_url | string | null | https://www.metacareers.com/jobs | Core | 2% |
location | string | null | (populated when data available) | Location | — |
description | string | null | (populated when data available) | Description | — |
salary_range | string | null | (populated when data available) | Salary | — |
employment_type | string | null | (populated when data available) | Employment | — |
experience_level | string | null | (populated when data available) | Requirements | — |
requirements | array | (populated when data available) | Requirements | — |
benefits | array | (populated when data available) | Requirements | — |
department | string | null | (populated when data available) | Metadata | — |
posted_at | string | null | (populated when data available) | Metadata | — |
workplace_type | string | null | (populated when data available) | Other | — |
extracted_at | string | 2026-09-01T13:20:59.329Z | Other | 100% |
confidence | number | null | (populated when data available) | Other | — |
relevance | string | null | (populated when data available) | Other | — |
ats_system | string | null | workday | Other | 2% |
browser_extraction | boolean | (populated when data available) | Other | — |
{
"company_id": "meta",
"company_name": "Meta",
"title": "[ATS detected: workday] — use Career Site Jobs Scraper",
"source_url": "https://www.metacareers.com/jobs",
"application_url": "https://www.metacareers.com/jobs",
"extracted_at": "2026-09-01T13:20:59.329Z",
"ats_system": "workday"
}Priced at $0.0500 per company processed (browser). 10 company processed (browser)s ≈ $0.50, 100 ≈ $5.00, 1,000 ≈ $50.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.
Click Open on Apify above to run website-job-extractor-browser in your browser - no code, no install. In the Apify console you get:
To run this actor from your own code you need an Apify API token. Get one in about a minute:
Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.
Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~website-job-extractor-browser/run-sync-get-dataset-items?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'// npm install apify-client
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/website-job-extractor-browser').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);# pip install apify-client
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/website-job-extractor-browser').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)// dotnet add package Apify.Client
using Apify.Client;
var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/website-job-extractor-browser").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;
ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/website-job-extractor-browser").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.
https://mcp.apify.com?tools=santamaria-automations/website-job-extractor-browserExample prompt once connected:
"Use <code>website-job-extractor-browser</code> to run a scrape on my target list and give me the results as a table."
Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.
Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.
@apify/n8n-nodes-apify).santamaria-automations/website-job-extractor-browser.https://api.apify.com/v2/acts/santamaria-automations~website-job-extractor-browser/run-sync-get-dataset-items?token=YOUR_TOKEN.application/json.https://api.apify.com/v2/acts/santamaria-automations~website-job-extractor-browser/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.https://api.apify.com/v2/acts/santamaria-automations~website-job-extractor-browser/run-sync-get-dataset-items?token=YOUR_TOKEN.steps.http.$return_value in subsequent steps.https://api.apify.com/v2/acts/santamaria-automations~website-job-extractor-browser/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.$50.00 / 1,000 company processed (browser), billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.
20 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.
Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.
Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.