Compare, job data

Job-posting data providers compared, with a pay-per-job option

Job-posting databases sell history and coverage; a career-site scraper sells fresh, first-party rows for the companies you name. They answer different questions. Here is what each provider sells and what it costs, read from their own pricing pages on October 6, 2026, next to the ATS Jobs Scraper at $1.50 per 1,000 jobs.

• Prices read 2026-10-06
• Databases vs live reads
• When a database wins
• $1.50 per 1,000 jobs

What each one sells

Per 1,000 jobs

• TheirStack: $32.67 on the $49 plan, falling to $1.10 on the $5,500 plan.
• Coresignal: $19.60 on Mini, $1.50 on Premium.
• PredictLeads: priced per API call rather than per job, so it depends on how many openings each call returns.
• ATS Jobs Scraper: $1.50 on every Apify plan; 10,000 jobs cost $15.00.

Per job, live reads are cheap at small and medium volume. At millions of jobs a month, a database plan can cost less per row, and it brings history you can't scrape after the fact.

When a database is the better buy

• You need history: postings from last year, or trends from before you started looking.
• You need coverage you can't list: every company hiring for a skill, including jobs that only appear on job boards.
• You want company context in the same record: technographics, firmographics, buying intent.
• You don't want to run anything: a dataset delivered to your storage on a schedule.

When live career-site reads win

• You have a list of companies: target accounts, competitors, a portfolio.
• You want it as of today, read at run time, with the employer's own apply link.
• You want closures you can trust: a job is reported removed only after its whole board was read and the job is gone.
• You'd rather pay per job than commit to a monthly plan.

A hybrid that works

Buy history from a database once, for the market view, and run the ATS Jobs Scraper daily with monitorMode on your own accounts for fresh, first-party changes. The hiring signals guide has the daily setup, and the job board feed guide covers exports.

Ask for it from ChatGPT, Claude or Cursor

The ATS Jobs Scraper works as a tool in ChatGPT, Claude, Cursor and VS Code through Apify's hosted MCP server. Add this URL as a custom connector and sign in with your Apify account; runs bill to that account. Then ask in plain English, for example "pull every engineering job posted this week at these 25 companies".

https://mcp.apify.com/?tools=fetch-actor-details,yugenox/ats-jobs-scraper

claude mcp add --transport http yugenox-jobs "https://mcp.apify.com/?tools=fetch-actor-details,yugenox/ats-jobs-scraper"

The AI setup guide walks through each client.

Run it from code

Jobs posted in the last 7 days at two companies, without descriptions: billed only for the jobs that match.

// Save as run.mjs, then: npm i apify-client && APIFY_TOKEN=... node run.mjs
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('yugenox/ats-jobs-scraper').call({
  companies: [
    "Stripe",
    "Nvidia"
  ],
  postedWithinDays: 7,
  includeDescription: "none"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) console.log(item.company, item.title, item.createdAt);

import os
from apify_client import ApifyClient  # pip install apify-client

client = ApifyClient(os.environ["APIFY_TOKEN"])

run = client.actor("yugenox/ats-jobs-scraper").call(run_input={
    "companies": ["Stripe", "Nvidia"],
    "postedWithinDays": 7,
    "includeDescription": "none",
})
if run is None:
    raise RuntimeError("Run did not finish")

for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item.get("company"), item.get("title"), item.get("createdAt"))

# Small jobs: runs the Actor and returns the rows in one call (up to 5 minutes).
curl -X POST "https://api.apify.com/v2/acts/yugenox~ats-jobs-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["Stripe","Nvidia"],"postedWithinDays":7,"includeDescription":"none"}'

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Last updated 2026-10-06.