How to get job listings from Google Jobs with an API (Python, Node or no code)

Google Jobs collects listings from LinkedIn, Indeed, company career pages and many smaller job boards, and shows them in one panel on the search page. That makes it a useful single source for job data, but Google has no public API for it.

This tutorial uses Google Jobs Scraper (US & UK), an Apify actor I built. For each search it returns the title, company, location, salary, job type, full description and the real apply links behind each listing. It also has an only-new mode for scheduled runs. The full examples are on GitHub: auto-actor/google-jobs-scraper.

What people use it for

A daily feed of new postings for a role and city with onlyNew: true, so you only see jobs you haven't seen.
Salary and job-type snapshots across cities.
Lists of employers hiring for a skill, with direct apply links.

Input

{"queries": ["data analyst new york"], "country": "us", "maxItems": 10}

Field	What it does
`queries`	Job searches, e.g. `software engineer london`.
`country`	`us` or `uk`.
`maxItems`	Stop after this many jobs in total.
`onlyNew`	Skip jobs already returned by earlier runs (remembered in the `google-jobs-seen` store of your account). Ideal for schedules.
`debug`	Save raw HTML for debugging.

Python

"""Run Google Jobs Scraper (US & UK) on Apify and print the results. pip install apify-client export APIFY_TOKEN=... # Apify Console -> Settings -> Integrations python example.py """ import os from apify_client import ApifyClient client = ApifyClient(os.environ["APIFY_TOKEN"]) run = client.actor("daedal_quintuplet/google-jobs-scraper").call( run_input={ "queries": [ "data analyst new york" ], "country": "us", "maxItems": 10 } ) jobs = client.dataset(run["defaultDatasetId"]).iterate_items() for job in jobs: print(job["title"], "|", job["company"], "|", job["location"], "|", job.get("salary") or "no salary listed")

Node.js

// Run Google Jobs Scraper (US & UK) on Apify and print the results. // // npm install apify-client // APIFY_TOKEN=... node example.js (token: Apify Console -> Settings -> Integrations) const { ApifyClient } = require('apify-client'); async function main() { const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('daedal_quintuplet/google-jobs-scraper').call({ "queries": [ "data analyst new york" ], "country": "us", "maxItems": 10 }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); for (const job of items) { console.log(job.title, '|', job.company, '|', job.location, '|', job.salary || 'no salary listed'); } } main().catch((err) => { console.error(err); process.exit(1); });

No code: one HTTP request

Works from n8n, Make, Zapier or curl:

curl -X POST "https://api.apify.com/v2/acts/daedal_quintuplet~google-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"queries": ["data analyst new york"], "country": "us", "maxItems": 10}'

What you get

One row per job:

Field	Meaning
`id`	Google's job id
`title`	Job title
`company`	Employer
`location`	Location text
`via`	The job board Google sourced it from
`postedAt`	Posting age as Google shows it
`salary`	Salary text when shown
`jobType`	Full-time, Part-time, Contractor, Internship
`description`	Full job description
`applyLinks`	Every apply option Google lists, with its URL
`googleJobsUrl`	Link to the listing on Google Jobs
`query`	The query that found it
`country`	`us` or `uk`
`scrapedAt`	When it was scraped

Limits

Google returns 10 jobs per query; use several specific queries rather than one broad one.
US and UK only. Google does not show a jobs panel for some countries, Australia included.