Google Jobs Scraper for job lists with salary and apply links

How to use it: 3 steps

1. Make a free Apify accountApify is the cloud platform where our tools run. The free plan gives you $5 of usage every month, no credit card needed. You pay Apify, not us.
2. Paste your input and press StartNo code needed: you fill in a form (the input). It already has a working example. For example: python developer in Job searches. Each start is one run.
3. Download the resultsWhen the run ends, the results are in a table (the dataset). Open Output, press Export and pick Excel or CSV. JSON and the API are there too.

This tool is an Apify Actor: a small program that runs on Apify. You can also run it on a schedule, for example every Monday. New to it? Read how it works, step by step and the 8 words you need first.

What it does

Google Jobs Scraper searches Google Jobs for your job titles and a location and returns one row per job: title, company, location, salary, job type, posting age, full description and the apply links to LinkedIn, Indeed or the employer site. It reads the public Google Jobs results page, so you need no Google login and no API key. The default input (python developer in Berlin, 10 jobs) usually takes 10–60 seconds and costs $0.033.

• You add one or more job searches, for example python developer or registered nurse, and a location.
• The Actor opens the Google Jobs results page for each search in the right Google country.
• It reads every job card: title, company, location, the site Google found the job on (via), posting age, salary and job type.
• It reads the job panel too: the full description, Google's highlights and all apply links, without tracking parameters.
• It removes duplicate jobs (same Google job id) and saves one Dataset row per job.
• Fast mode reads one Google page per search, about 10 jobs. Deep mode repeats each search with Google's date and job-type filters and removes duplicates, so you get several times more jobs.

Who uses it

Price

Pay per event: you pay for each result the tool saves, plus a small start fee for each run. The price includes Apify platform costs. Apify bills you, not us. Prices below are for the Apify free plan.

Examples

• One result: about $0.01.
• 1,000 results: about $1.01.
• Every day 100 results, for 30 days: about $3.30 a month.

Free to try: the Apify free plan gives you $5 of usage every month, no credit card needed. That is enough for about 4,900 results.

Prices checked on 24 October 2026. See the current price on Apify.

Questions

Details

For developers

Sample result

One result from a real test run, in JSON. Real values change from run to run. In Excel or CSV each field is a column.

{
  "status": "complete",
  "title": "Python Team Lead, Integration team",
  "company": "Fliff Inc",
  "location": "Beliebiger Ort",
  "via": "LinkedIn",
  "postedAt": "vor 1 Tag",
  "postedAtApprox": "2026-10-14",
  "salary": null,
  "employmentType": "Vollzeit",
  "workFromHome": true,
  "description": "We’re looking for a Python Team Lead to join our Integration team, which owns a broad set of critical integrations across the product…",
  "highlights": null,
  "applyLinks": [
    { "title": "LinkedIn", "url": "https://de.linkedin.com/jobs/view/python-team-lead-integration-team-at-fliff-inc-4479228357" },
    { "title": "Startup Jobs", "url": "https://startup.jobs/python-team-lead-integration-team-fliff-inc-10437417" }
  ],
  "jobId": "eAHxzL0ATotpbjXSAAAAAA==",
  "googleJobsUrl": "https://www.google.de/search?ibp=htl;jobs&q=python+developer+Berlin&htidocid=eAHxzL0ATotpbjXSAAAAAA%3D%3D&hl=de-DE#…",
  "position": 2,
  "query": "python developer",
  "searchLocation": "Berlin",
  "countryCode": "de",
  "searchVariant": null,
  "source": "google_jobs",
  "sourceUrl": "https://www.google.de/search?q=python+developer+Berlin&udm=8&hl=de&gl=de",
  "fetchedAt": "2026-10-15T06:20:55.335Z",
  "statusReason": null,
  "errorCode": null
}

Use it from code

Actor ID: cliqtomedia/google-jobs-scraper. You need your Apify API token from Apify Console → Settings → API & Integrations.

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("cliqtomedia/google-jobs-scraper").call(run_input={
    "queries": [
        "python developer"
    ],
    "location": "Berlin"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

curl -X POST "https://api.apify.com/v2/acts/cliqtomedia~google-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["python developer"], "location": "Berlin"}'

# pip install langchain-apify
# set APIFY_TOKEN in your environment
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("cliqtomedia/google-jobs-scraper")
result = tool.invoke({"run_input": {"queries": ["python developer"], "location": "Berlin"}})
print(result)

The cURL call waits for the results, up to 300 seconds. For longer runs, start a run (/runs) and get the results with a webhook or by checking the run. Apify API docs. LlamaIndex, MCP for AI agents and the JavaScript client: AI agents & MCP.

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