Google Jobs Scraper

Google Jobs Scraper is an Apify Actor that extracts job listings from Google Jobs (Google for Jobs) for any search and location. Each listing comes with the full description, parsed salary, highlights and direct apply links, at $2 per 1,000 jobs.

It works as a Google Jobs API:

• call it from code
• schedule it for daily job alerts
• let AI agents (Claude, ChatGPT, Cursor) use it through Apify's MCP server

Quick facts

• What you get, one row per job:
  • title, company, company website, location, remote flag
  • salary (min / max / currency / period, plus yearly)
  • posted date, job type, full description, highlights
  • every apply link (employer's own site first) and Google's job ID
• Price: $2 per 1,000 jobs ($1.50 on paid plans) plus $0.03 per search. Apify's free $5 monthly credit covers about 2,000 jobs.
• Filters: date posted, employment type and remote only, re-checked on every job.
• Monitoring: Only new jobs mode returns just the new postings on scheduled runs.
• 26 countries: United States, United Kingdom, Canada, India, Germany, Switzerland, Spain, Italy, Mexico, Brazil, Argentina, Colombia, Peru, Japan, Hong Kong, Singapore, UAE, Saudi Arabia, Qatar, Egypt, South Africa, Nigeria, Ghana, Philippines, Malaysia and Pakistan. Dates, salaries and job types are parsed in each market's language.
• Speed: about a minute for a 100-job search.
• AI agents: connect https://mcp.apify.com?tools=automationnation/google-jobs-scraper (setup below).
• Guide and code examples: https://retracn.github.io/automationnation-actors/google-jobs-scraper/ · GitHub

What does Google Jobs Scraper do?

Google Jobs collects postings from company career sites and job boards (LinkedIn, Indeed, Glassdoor, ZipRecruiter, Greenhouse, Lever, Workday and thousands more) into one search. This Actor runs your searches there and returns structured data:

• Job title, company, location, remote flag, source ("via LinkedIn")
• Full job description. The whole text, not a snippet.
• Salary. As shown ($176K–$227K a year) and parsed: salaryMin, salaryMax, salaryCurrency, salaryPeriod.
• Posted date. As shown (3 days ago) and as an ISO timestamp.
• Employment type. As shown and normalised (FULL_TIME, PART_TIME, CONTRACTOR, INTERN).
• Job highlights. Qualifications, responsibilities and benefits, when Google extracts them.
• Apply links, resolved from Google's redirects to the real URLs. applyUrl picks the employer's own site when possible.
• Google job ID. Stable across runs, so you can track postings over time.

It handles several searches and locations in one run, removes duplicates across searches, and lets you pick a country.

Who is it for?

• Recruiters and staffing agencies. Find every open role for a skill and city, with direct apply links.
• Job boards and aggregators. Fill niche boards with fresh, de-duplicated postings and full descriptions.
• Sales and growth teams. Use hiring as a buying signal ("who's hiring data engineers in Austin?").
• Salary and labour-market research. Get parsed salary ranges by role, company and city.
• AI agents and automations. Typed output fields and a fast default run work well through Apify's MCP server, n8n, Make and Zapier.

Why this Google Jobs scraper?

• Lower price. $2 per 1,000 jobs ($1.50 on paid plans) plus $0.03 per search. For searches of 50+ jobs that is cheaper than each of the six most-used Google Jobs Actors, which charge $3–$200 per 1,000.
• Only new jobs for daily alerts. Schedule it and get just the postings you haven't seen. None of the six most-used Actors offer this.
• Employer-first apply link. Every apply option is resolved to the real posting. applyUrl picks the employer's own careers page when Google has one; that was 91% of jobs in a 200-job test.
• Strict filters. Job type, remote and date are re-checked on every job, and non-matching jobs are skipped free.
• Reliable runs. Blocked searches are retried with fresh residential IPs (up to 11 attempts) and are never charged.
• Clean data. Salaries are parsed into numbers (currency inferred when Google omits the symbol). You also get ISO posted dates, normalised job types and Google's stable job IDs.

See the full comparison of Google Jobs scrapers on Apify for prices, run success rates and features side by side.

How to scrape Google Jobs

1. Enter one or more Job searches, e.g. software engineer, registered nurse.
2. Add a Location (city or area) and pick the Country.
3. Set Max jobs per search. Google usually lists 50–300 jobs per search.
4. Optionally filter by Date posted, Employment type or Remote jobs only.
5. Click Start, then download the results as JSON, CSV or Excel, or read them through the API.

Input example

{
    "queries": ["software engineer", "data analyst"],
    "location": "London",
    "country": "uk",
    "maxJobsPerQuery": 100,
    "datePosted": "week",
    "employmentType": "fulltime",
    "remoteOnly": false,
    "onlyNewJobs": false
}

Output example

One real job from a run (description and lists shortened):

{
    "title": "Software Engineer, Backend",
    "companyName": "Plaid",
    "location": "New York, NY",
    "isRemote": false,
    "via": "Plaid",
    "postedAgo": null,
    "postedAt": null,
    "employmentType": "Full-time",
    "employmentTypes": [
        "FULL_TIME"
    ],
    "salaryText": "176K–227K a year",
    "salaryMin": 176000,
    "salaryMax": 227000,
    "salaryCurrency": "USD",
    "salaryPeriod": "YEAR",
    "degreeRequirement": null,
    "description": "We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of develo…",
    "qualifications": [
        "2-4 years of software engineering experience (post-internship)",
        "Proven ability to ship reliable systems or features at scale"
    ],
    "responsibilities": [
        "As a Software Engineer, you will design and build the systems that power how millions of people connect to their finances",
        "You will work across the stack, from reliable backend services and APIs to intuitive applications that bring those systems to life"
    ],
    "benefits": [
        "Growth oriented"
    ],
    "highlights": [
        {
            "title": "Qualifications",
            "items": [
                "2-4 years of software engineering experience (post-internship)"
            ]
        },
        {
            "title": "Responsibilities",
            "items": [
                "As a Software Engineer, you will design and build the systems that power how millions of people connect to their finances"
            ]
        }
    ],
    "applyUrl": "https://plaid.com/careers/openings/engineering/new-york-city-office/software-engineer-backend-2/",
    "applyLinks": [
        {
            "title": "Plaid",
            "url": "https://plaid.com/careers/openings/engineering/new-york-city-office/software-engineer-backend-2/",
            "domain": "plaid.com"
        }
    ],
    "jobUrl": "https://www.google.com/search?ibp=htl;jobs&q=software+engineer+jobs+in+New+York&htidocid=RUfn2deFBPpSoOMVAAAAA…",
    "googleJobId": "RUfn2deFBPpSoOMVAAAAAA==",
    "tags": [
        "176K-227K a year",
        "Full-time",
        "Health insurance",
        "Dental insurance"
    ],
    "searchQuery": "software engineer",
    "searchLocation": "New York",
    "country": "us",
    "language": "en",
    "position": 6,
    "isNew": null,
    "scrapedAt": "2026-10-02T18:08:26.130Z"
}

Output fields

Field	Description
title, companyName, location, isRemote, via	Job basics; via is where Google found the posting
description	Full job description text
salaryText, salaryMin, salaryMax, salaryCurrency, salaryPeriod	Salary as shown and parsed (HOUR, DAY, WEEK, MONTH, YEAR)
salaryYearlyMin, salaryYearlyMax	Salary converted to a yearly amount, so hourly, daily and monthly pay compare
postedAgo, postedAt	Age as shown, plus an estimated ISO timestamp
employmentType, employmentTypes	As shown, plus normalised values
qualifications, responsibilities, benefits, highlights	Google's job highlights, when available
applyUrl, applyLinks	Best apply link, plus all options as {title, url, domain}
companyDomain	Employer's website, taken from its own apply link
jobUrl, googleJobId	Google Jobs link and Google's stable job ID
degreeRequirement, tags	Extra notes Google shows ("No degree mentioned", benefits tags)
searchQuery, searchLocation, country, language, position, isNew, scrapedAt	Search context

The dataset has three views: Jobs (overview), Salaries and Descriptions & apply links. A run summary (jobs per search, skipped searches, why the run stopped) is saved as OUTPUT in the key-value store.

How much does it cost to scrape Google Jobs?

Pay only for results:

Plan	Per job	Per 1,000 jobs	Per search
Free	$0.002	$2.00	$0.03
Bronze	$0.0018	$1.80	$0.028
Silver	$0.0016	$1.60	$0.026
Gold and above	$0.0015	$1.50	$0.025

The small per-search fee covers opening Google for that search. Examples on the Free plan:

Run	Cost
One search returning 100 jobs	$0.23
Ten searches of 100 jobs	$2.30
A daily "only new jobs" check that finds 15 new postings	$0.06

You are not charged for:

• searches Google blocks or that show no jobs
• jobs that are duplicates of another search in the same run
• jobs already returned in earlier runs (Only new jobs mode)
• jobs that don't match your type, remote or date filters

Residential proxies and compute are included. The Apify Free plan's $5 monthly credit covers about 2,000 jobs (in searches of 100). Set a maximum cost per run in the run options and the Actor stops cleanly when it is reached.

Daily job alerts: Only new jobs

Switch on Only new jobs (for scheduled runs) and schedule the Actor (Console → Schedules), e.g. every morning. Each run returns only jobs that weren't returned for the same search in your earlier runs. Jobs are remembered for 120 days, and you pay only for the new ones.

Combine it with Date posted: Since yesterday for the fastest, cheapest daily feed. Connect a webhook or integration to send new jobs to Slack, Google Sheets, your ATS or your CRM.

Use cases and example inputs

• Daily job alerts. All new remote Python jobs in the US every morning, sent to Slack or Google Sheets with a webhook:

  { "queries": ["python developer"], "country": "us", "remoteOnly": true, "datePosted": "today", "onlyNewJobs": true, "maxJobsPerQuery": 200 }
  

• Hiring signals for sales. Companies in London hiring data engineers, with their websites (companyDomain) ready for enrichment:

  { "queries": ["data engineer"], "location": "London", "country": "uk", "maxJobsPerQuery": 300 }
  

• Salary benchmarking. Nursing pay in Chicago. Use the Salaries view and salaryYearlyMin / salaryYearlyMax:

  { "queries": ["registered nurse", "nurse practitioner"], "location": "Chicago", "country": "us", "maxJobsPerQuery": 200 }
  

• Job board content. Fresh listings with full descriptions for a niche board, de-duplicated across searches:

  { "queries": ["solar installer", "wind turbine technician"], "country": "us", "datePosted": "week", "maxJobsPerQuery": 300 }
  

Use Google Jobs Scraper with AI agents (MCP)

AI assistants can search Google Jobs live through Apify's MCP server.

Hosted (Claude, ChatGPT, Cursor and other MCP clients that support remote servers). Add this server URL and sign in with Apify:

https://mcp.apify.com?tools=automationnation/google-jobs-scraper

Local (Claude Desktop or Cursor config):

{
  "mcpServers": {
    "google-jobs": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server", "--tools", "automationnation/google-jobs-scraper"],
      "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }
    }
  }
}

Then ask, for example:

• "Find 50 remote React developer jobs posted this week in the US, with salaries."
• "Which companies in Manchester are hiring accountants? List their websites."
• "Show me every new nursing job in Chicago since yesterday."

Integrations and API

• API:

  curl -X POST "https://api.apify.com/v2/acts/automationnation~google-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
    -H "Content-Type: application/json" \
    -d '{"queries":["nurse"],"location":"Chicago","country":"us","maxJobsPerQuery":20}'
  

• Python / JavaScript: use the apify-client package with Actor ID automationnation/google-jobs-scraper.
• AI agents (MCP): add the Actor to Apify's MCP server (https://mcp.apify.com) and ask, for example, "find remote data engineer jobs posted this week".
• n8n, Make, Zapier, Google Sheets, Slack, webhooks: through Apify's integrations.

FAQ

Is there an official Google Jobs API? No. Google doesn't offer a public API for Google Jobs search results; Google Cloud Talent Solution only searches your own job postings. This Actor gives you Google Jobs data through Apify's REST API, the Python and JavaScript clients, integrations and MCP.

What's the best Google Jobs scraper? It depends on what you need. This Actor is built for complete, clean data at the lowest price among the most-used Google Jobs Actors:

• full descriptions, parsed salaries and the employer's own apply link
• strict filters
• new-only monitoring
• blocked searches are never charged

How does it compare with SerpApi's Google Jobs API? SerpApi sells its Google Jobs API as a monthly subscription. Its free tier is 250 searches a month, and paid plans start at $25 a month for 1,000 searches (checked October 2026). This Actor is pay-per-result with no subscription. It also adds:

• an "Only new jobs" mode for alerts
• a yearly salary equivalent and a company website field
• Apify schedules, integrations and MCP access for AI agents

Can I scrape Google Jobs for free? Yes, within Apify's free plan. Its $5 monthly credit covers about 2,000 jobs with this Actor, with no credit card needed.

Is it legal to scrape Google Jobs? The Actor collects publicly listed job postings. They are business information published by employers and job boards. It does not collect applicant data or log in to anything. You are responsible for how you use the data. Respect Google's terms, the original sites' terms and the laws that apply to you (e.g. GDPR when a posting names a recruiter).

Which countries are supported? Verified in 26 countries: United States, United Kingdom, Canada, India, Germany, Switzerland, Spain, Italy, Mexico, Brazil, Argentina, Colombia, Peru, Japan, Hong Kong, Singapore, UAE, Saudi Arabia, Qatar, Egypt, South Africa, Nigeria, Ghana, Philippines, Malaysia and Pakistan. Every one returned Google Jobs listings in live tests, and local-language dates, salaries (€, R$, ¥, pesos and more) and job types are parsed. Google doesn't offer Google Jobs in Australia, New Zealand, Austria, the Netherlands, Portugal or most other European countries.

How many jobs can I get per search? Google usually lists 50–300 jobs per search. For more coverage, run several specific searches ("frontend developer", "React developer") or several locations. Duplicates across searches are removed for free.

Why is the salary or posted date empty for some jobs? Google shows a salary only when the posting includes one, and some postings have no date. Job highlights appear only when Google extracts them from the posting.

Why does a search take 20–60 seconds? The Actor opens Google like a person (search first, then the Jobs view) through residential IPs and retries with fresh IPs when Google blocks a request. That is slower than a raw request but makes runs reliable, and blocked attempts are never charged.

Do I need my own proxies? No. Residential proxies are included. You can switch to your own proxies under Advanced.

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Feedback or a missing field? Open an issue on the Actor's Issues tab. Fixes usually ship within a day.