Google Jobs MCP (Apify)

來自Google for Jobs的即時職缺（Indeed、LinkedIn、ZipRecruiter、公司招聘網站），以扁平JSON格式提供：職稱、公司、地點、薪資（如有顯示）、發布日期、遠端標記及應徵連結。可按發布日期、僅限遠端、僱用類型及國家篩選。遠端端點：https://mcp.apify.com/?tools=juramoshkov/google-jobs-scraper（使用Apify登入）。無需登入求職網站。按交付職缺計費，每1,000筆收費$3-5美元。

造訪 apify.com

文件

Google Jobs Scraper: Job Listings, Salaries & Apply Links (`juramoshkov/google-jobs-scraper`) Actor

Search Google for Jobs like a recruiter: one row per posting with title, company, location, salary, posting date, remote flag and every apply link (Indeed, LinkedIn, ZipRecruiter, company career sites). Query like "software engineer in Austin, TX". No login, no proxies.

URL: https://apify.com/juramoshkov/google-jobs-scraper.md
Developed by: Jura Moshkov (community)
Categories: Jobs, Lead generation
Stats: 4 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
User rating: No ratings yet

Pricing

from $3.00 / 1,000 job postings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the API section below.

Each client library has reference documentation the quickstart does not restate: JavaScript/TypeScript (npm install apify-client) and Python (pip install apify-client).

README

Google Jobs Scraper: Job Listings, Salaries & Apply Links

Search like on Google: "job in place", one line per search, as many lines as you like.
Filters: posted within (24h / 3 days / week / month), remote only, full-time / part-time / contract / internship, experience level, country, radius.
Pay per job: $3-5 per 1,000 jobs, duplicates never billed.
Clean export: flat rows, ready for CSV, Excel, Google Sheets or your ATS.

What is a Google Jobs scraper?

Google for Jobs is the job search built into Google. It pulls postings from Indeed, LinkedIn, ZipRecruiter, Glassdoor, Monster and thousands of company career sites into one index. This actor searches that index and returns one flat row per posting, with every board the job is listed on and its apply link.

Coverage: Every board Google for Jobs lists: Indeed, LinkedIn, ZipRecruiter, Glassdoor, Monster, SimplyHired, company career sites and more.

What you get per job

Field	Example
Title, company, company website and logo	"Senior Web Software Engineer - Commercial Software", General Motors
Board and all apply links	General Motors Careers + every other board the job is on
Location, city, state, country, coordinates, remote flag	Austin, TX (+1 other)
Employment type	Full-time
Posting date (ISO) and "x days ago"	2026-09-24T00:00:00.000Z
Salary min, max, period and original text	when the posting shows one (mostly US)
Benefits	health insurance, paid time off, ...
Full description	optional, switch off for lighter exports
Google Jobs link, O*NET code, the search it came from

Example output row

{
  "title": "Senior Web Software Engineer - Commercial Software",
  "company": "General Motors",
  "publisher": "General Motors Careers",
  "location": "Austin, TX  (+1 other)",
  "isRemote": false,
  "employmentType": "Full-time",
  "postedAt": "2026-09-24T00:00:00.000Z",
  "salaryMin": null,
  "salaryMax": null,
  "salaryPeriod": null,
  "salaryText": null,
  "applyLink": "https://search-careers.gm.com/zh/%E5%B7%A5%E4%BD%9C/jr-202620085/senior-web-software-engineer-commercial-software/",
  "companyWebsite": null,
  "query": "software engineer in Austin, TX",
  "applyOptions": [
    {
      "publisher": "General Motors Careers",
      "link": "https://search-careers.gm.com/zh/%E5%B7%A5%E4%BD%9C/jr-202620085/senior-web-software-engineer-commercial-software/",
      "isDirect": false
    }
  ],
  "description": "At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicle..."
}

How much does it cost?

Pay per result: $0.005 per job on the Apify Free plan, $0.004 on Bronze, $0.0035 on Silver and $0.003 on Gold and above. That is $3-5 per 1,000 jobs. You pay only for jobs delivered. A posting that shows up in two of your searches is billed once. Set Max spend and the run stops on its own before crossing it.

How to use it

Enter one or more searches, e.g. software engineer in Austin, TX.
Optionally set filters: posted within, remote only, employment type, experience, country.
Set Max jobs (default 50) and run. Export as JSON, CSV or Excel, or pull it over the API.

A search usually returns 50-100 postings. For more, split it: one line per city or per job title.

How do I use it with an AI agent (MCP)?

This actor is available as a tool through the Apify MCP server. An agent can call it with a plain input filled straight from the schema:

{"queries": ["software engineer in Austin, TX"], "maxResults": 100, "datePosted": "week"}

The output is one flat JSON object per job, with no nesting to unwrap.

Example searches

software engineer in Austin, TX
registered nurse in Chicago, IL
python developer remote
warehouse associate in Dallas, TX
accountant in London
Softwareentwickler in Berlin

Common use cases

Recruiting and sourcing: see who is hiring for a role in a city this week.
Sales prospecting: companies that are hiring are companies with budget. Build lead lists from job postings.
Job market and salary research: track postings and salary ranges by title, city and seniority.
Job boards and aggregators: feed fresh postings into your own site or newsletter.
Career tools and AI agents: give an assistant live job search results.

Is it legal?

It collects publicly posted job listings: the same data anyone sees in Google search without logging in. It does not log in anywhere, use your accounts, or collect personal data about job seekers. You are responsible for how you use the results; respect each board's terms and the law in your market.

FAQ

How do I scrape Google Jobs?

Enter a search such as software engineer in Austin, TX and run. You get one row per posting with the title, company, salary, location, date and apply link, ready to export.

Do I need an account, cookies or proxies?

No. There is nothing to log into and no proxy to configure.

How fresh are the jobs?

Searches run live when you start the actor. Use Posted within to keep only jobs from the last 24 hours, 3 days, week or month.

Does it work outside the US?

Yes. Set Country (e.g. gb, de, ca) and write the search in that country's language. Salaries are mostly published on US postings.

Why did I get fewer jobs than Max jobs?

The search ran out of postings. Split it into more lines (other cities, other titles) to widen it; you are never billed for jobs that were not delivered.

How much does 1,000 jobs cost?

$3-5, depending on your Apify plan.

Actor input Schema

`queries` (type: `array`):

One "job in place" phrase per line, the way you would type it into Google, e.g. "registered nurse in Chicago, IL" or "python developer remote". Each line is searched on its own. A run with no input searches the first example.

`maxResults` (type: `integer`):

Jobs to return across the whole run. Duplicates across searches are dropped and never billed.

`maxBudgetUsd` (type: `integer`):

Hard ceiling on what this run can charge. It is turned into a job count before the first search, so the run stops on its own rather than billing past it. Set 0 to rely on Max jobs alone.

`datePosted` (type: `string`):

Only jobs posted in this window.

`remoteOnly` (type: `boolean`):

Return only postings marked remote.

`employmentTypes` (type: `array`):

Leave empty for all types.

`experience` (type: `array`):

Leave empty for any experience level.

`country` (type: `string`):

Two-letter country code to search in, e.g. "us", "gb", "de", "ca". Leave empty for the United States. Salaries are mostly published for US postings.

`language` (type: `string`):

Optional language code for the results, e.g. "en", "de".

`radiusKm` (type: `integer`):

Optional distance from the place in the search.

`includeDescription` (type: `boolean`):

Turn off for smaller, faster exports when you only need titles, companies and links.

Actor input object example

{
  "queries": [
    "software engineer in Austin, TX",
    "registered nurse in Chicago, IL"
  ],
  "maxResults": 50,
  "maxBudgetUsd": 5,
  "datePosted": "all",
  "remoteOnly": false,
  "includeDescription": true
}

Actor output Schema

`results` (type: `string`):

No description

`resultsCsv` (type: `string`):

No description

API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

JavaScript example

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "software engineer in Austin, TX",
        "registered nurse in Chicago, IL"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("juramoshkov/google-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Python example

from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": [
        "software engineer in Austin, TX",
        "registered nurse in Chicago, IL",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("juramoshkov/google-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

CLI example

echo '{
  "queries": [
    "software engineer in Austin, TX",
    "registered nurse in Chicago, IL"
  ]
}' |
apify call juramoshkov/google-jobs-scraper --silent --output-dataset

MCP server setup

{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,juramoshkov/google-jobs-scraper"
        }
    }
}

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an Authorization: Bearer <APIFY_API_TOKEN> header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bVGf9x8rstjqEkzXk/builds/3aZwUXHW9r3RlKSKS/openapi.json