The NanoScrape Career Site Jobs Scraper is an Apify actor that extracts job listings from Career Site Jobs. It returns 57 fields per result including title, company, location, city, description, priced at $1/1k job, with no API key or monthly subscription required.
Career Site Jobs Scraper (ATS, Global): extracts jobs from 25+ ATS platforms including Lever, Greenhouse, Workday, Ashby, and Personio. Covers ~60% of Fortune 500 career pages directly.
| Field | Type | Example | Group | Fill % |
|---|---|---|---|---|
id | string | lever-0c1183ff-2a55d6c9-c564-443a-be3e-a3851db5a93b | Core | 96% |
ats_job_id | string | 2a55d6c9-c564-443a-be3e-a3851db5a93b | Core | 96% |
title | string | Account Executive - Commercial, Spotify Technology | Core | 96% |
apply_url | string | https://jobs.lever.co/spotify/2a55d6c9-c564-443a-be3e-a3851db5a93b/apply | Core | 96% |
job_url | string | https://jobs.lever.co/spotify/2a55d6c9-c564-443a-be3e-a3851db5a93b | Core | 96% |
job_url_status | string | (populated when data available) | Core | — |
_type | string | (populated when data available) | Core | 4% |
company_name | string | null | (populated when data available) | Core | 4% |
company | string | Spotify | Company | 100% |
jobs_dropped_by_employer | integer | null | (populated when data available) | Company | 4% |
filters_employer | string | null | (populated when data available) | Company | — |
location | string | null | New York, NY | Location | 96% |
city | string | null | New York | Location | 96% |
country | string | null | US | Location | 96% |
country_source | string | (populated when data available) | Location | — |
jobs_dropped_by_location | integer | null | (populated when data available) | Location | 4% |
jobs_dropped_by_country | integer | null | (populated when data available) | Location | 4% |
jobs_location_unknown | integer | null | (populated when data available) | Location | 4% |
filters_location | string | null | (populated when data available) | Location | — |
additional_locations | array | null | (populated when data available) | Location | — |
description | string | null | <div> <p>Spotify Technology is our business-to-business software team, helping organiza... | Description | 40% |
salary_min | number | null | 87069 | Salary | 28% |
salary_max | number | null | 124385 | Salary | 28% |
salary_currency | string | null | USD | Salary | 28% |
salary_period | string | null | (populated when data available) | Salary | — |
salary_text | string | null | $87,069-$124,385 | Salary | 28% |
salary_source | string | null | stated | Salary | 28% |
employment_type | string | null | Permanent | Employment | 96% |
remote | boolean | false | Employment | 96% |
department | string | null | Operations and Business Support | Metadata | 80% |
posted_at_text | string | null | (populated when data available) | Metadata | — |
scraped_at | string | 2026-11-01T11:41:33Z | Metadata | 100% |
jobs_dropped_by_posted_date | integer | null | (populated when data available) | Metadata | 4% |
filters_posted_within_days | number | null | (populated when data available) | Metadata | — |
ats_platform | string | lever | Other | 100% |
language | string | null | en | Other | 40% |
workload | string | null | (populated when data available) | Other | — |
workplace_type | string | null | hybrid | Other | 60% |
created_at | string | null | 2026-10-23T15:00:40Z | Other | 96% |
updated_at | string | null | (populated when data available) | Other | — |
manifest_version | string | (populated when data available) | Other | 4% |
reason | string | null | (populated when data available) | Other | 4% |
message | string | null | (populated when data available) | Other | 4% |
jobs_seen | integer | null | (populated when data available) | Other | 4% |
jobs_after_filters | integer | null | (populated when data available) | Other | 4% |
jobs_pushed | integer | null | (populated when data available) | Other | 4% |
jobs_total_reported_by_site | integer | null | (populated when data available) | Other | 4% |
jobs_dropped_by_keywords | integer | null | (populated when data available) | Other | 4% |
detail_fetches_skipped | integer | null | (populated when data available) | Other | 4% |
filter_note | string | null | (populated when data available) | Other | — |
cap_applied | boolean | null | (populated when data available) | Other | 4% |
hit_fetch_limit | boolean | null | (populated when data available) | Other | 4% |
filter_mode | string | null | (populated when data available) | Other | 4% |
pages_fetched | integer | null | (populated when data available) | Other | 4% |
filters_keywords | string | null | (populated when data available) | Other | — |
hiring_organization | string | null | (populated when data available) | Other | 20% |
proxy_tier | string | (populated when data available) | Other | 4% |
{
"id": "lever-0c1183ff-2a55d6c9-c564-443a-be3e-a3851db5a93b",
"ats_job_id": "2a55d6c9-c564-443a-be3e-a3851db5a93b",
"title": "Account Executive - Commercial, Spotify Technology",
"company": "Spotify",
"ats_platform": "lever",
"location": "New York, NY",
"department": "Operations and Business Support",
"employment_type": "Permanent",
"remote": false,
"workplace_type": "hybrid",
"city": "New York",
"country": "US",
"description": "<div>\n<p>Spotify Technology is our business-to-business software team, helping organizations improve how they build and deliver software. Our products, including Backstage Portal, Confidence, and Xirp, support developers and AI-powered systems as they navigate increasingly complex engineering environments.</p>\n<p>As an Account Executive on our Commercial team, you will drive new business for Spotify Technology. You'll focus on companies with fewer than 1,000 employees, where sales cycles typically run from weeks to a few months and success depends on a repeatable, scalable sales motion. You'll manage a high volume of opportunities, work with one or a small group of decision-makers (often a hands-on engineering leader or CTO), and move deals efficiently from the first conversation to close. You'll also help shape the playbook that enables our commercial business to grow.</p>\n<p>You'll collaborate with Sales Engineering, Marketing, Product, and Customer Success to create a seamless customer experience. Your ability to quickly understand customers' technical needs and connect them to clear business value will be key to your success.</p>\n</div><div>The United States base range for this position is $87,069-$124,385 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.</div>",
"apply_url": "https://jobs.lever.co/spotify/2a55d6c9-c564-443a-be3e-a3851db5a93b/apply",
"job_url": "https://jobs.lever.co/spotify/2a55d6c9-c564-443a-be3e-a3851db5a93b",
"language": "en",
"created_at": "2026-10-23T15:00:40Z",
"updated_at": null,
"scraped_at": "2026-11-01T11:41:33Z",
"salary_text": "$87,069-$124,385",
"salary_min": 87069,
"salary_max": 124385,
"salary_currency": "USD",
"salary_period": null,
"salary_source": "stated"
}Priced at $0.0010 per job result. 10 job results ≈ $0.01, 100 ≈ $0.10, 1,000 ≈ $1.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.
This actor is the foundation layer for ATS technology vendors, talent intelligence platforms, and Fortune 500 job aggregators. It replaces the need to build and maintain separate crawlers for 25 different career site systems -- normalising output into one schema at $1/1,000 jobs. HR tech companies use it to monitor competitor hiring across any mix of Greenhouse, Workday, Lever, and Phenom portals in a single run. Pair it with the Career Site Discoverer to build a fully automated pipeline: discover which ATS any company uses, then extract structured job data at scale.
Click Open on Apify above to run career-site-jobs-scraper 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. How many results that covers depends on the actor's price per result.
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~career-site-jobs-scraper/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/career-site-jobs-scraper').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/career-site-jobs-scraper').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/career-site-jobs-scraper").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/career-site-jobs-scraper").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/career-site-jobs-scraperExample prompt once connected:
"Use <code>career-site-jobs-scraper</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/career-site-jobs-scraper.https://api.apify.com/v2/acts/santamaria-automations~career-site-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.application/json.https://api.apify.com/v2/acts/santamaria-automations~career-site-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.https://api.apify.com/v2/acts/santamaria-automations~career-site-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.steps.http.$return_value in subsequent steps.https://api.apify.com/v2/acts/santamaria-automations~career-site-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.$1.00 / 1,000 job result, 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.
57 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.