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Google Jobs Search Scraper

Pricing

Pay per usage

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Google Jobs Search Scraper

Google Jobs Search Scraper

Scrape Google Jobs search results for job listings, companies, locations, salaries, and descriptions. Aggregate jobs from multiple sources.

Pricing

Pay per usage

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0.0

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Developer

Donny Nguyen

Donny Nguyen

Maintained by Community

Actor stats

0

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3

Total users

2

Monthly active users

10 hours ago

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Google Jobs Search Scraper - Job Aggregator

What does Google Jobs Search Scraper - Job Aggregator do?

Scrape Google Jobs for listings, companies, locations, salaries. Aggregate jobs from multiple sources. Export to JSON/CSV/Excel. This Apify actor automates the data extraction process so you can collect structured data without writing any code. The results are delivered in clean JSON, CSV, or Excel format, ready for analysis, integration, or storage in your database or data warehouse.

Why use Google Jobs Search Scraper - Job Aggregator?

  • No coding required — Simply configure your inputs in the Apify Console and click Start. No programming knowledge is needed to extract professional-grade data.
  • Export in multiple formats — Download your results as JSON, CSV, Excel, or connect directly via the Apify API for seamless programmatic access to your data.
  • Scheduled and automated runs — Set up recurring schedules to keep your data fresh. Run hourly, daily, or weekly with automatic email or webhook notifications when new data is ready.
  • Built-in proxy rotation — The actor handles proxy management and rotation automatically to ensure reliable data collection, avoid rate limiting, and maintain high success rates.
  • Scalable extraction — Process hundreds or thousands of items in a single run. The actor manages concurrency, retries, error handling, and memory allocation for you.
  • Reliable error handling — If individual requests fail, the actor retries them automatically and continues processing the remaining items. You get partial results even if some pages are unavailable.

How to use Google Jobs Search Scraper - Job Aggregator

  1. Navigate to the Google Jobs Search Scraper - Job Aggregator page on Apify Store and click Try for free to open the actor in Apify Console.
  2. Configure your input parameters using the visual editor in the Input tab. Set your search terms, URLs, or other parameters according to your needs.
  3. Click Start to begin the extraction. The actor will run in the Apify cloud and you can monitor progress in real time from the Log tab.
  4. Once complete, view your results in the Output tab. The data is displayed in a formatted overview table for easy browsing and quick analysis.
  5. Download your data as JSON, CSV, or Excel using the export buttons, or access it programmatically via the Apify API or direct dataset endpoint URLs.

Input configuration

FieldTypeDescriptionDefault
Search QuerystringA job search query string (e.g., 'software engineer remote', 'marketing manager New York', 'data scientist'). The actor-
URLsarrayList of Google search URLs with job queries. Use Google Jobs URLs in the format: https://www.google.com/search?q=softwar-
Max ResultsintegerMaximum number of job listings to extract across all URLs. The actor will stop once this limit is reached. Set to a high100
Max Jobs Per QueryintegerMaximum number of job listings to extract per individual search query or URL. Useful when scraping multiple queries to e50
Use Residential ProxybooleanWhether to use residential proxies for scraping. Residential proxies are more expensive but much less likely to be blockfalse
Include Full DescriptionbooleanWhether to click on each job card and extract the full job description text. Enabling this makes the scraping slower (eatrue

Output data

The actor stores results in a structured dataset. Each item in the dataset represents one extracted record and contains the following key fields:

  • URL (url)
  • Error (error)
  • Error Message (errorMessage)
  • Scraped At (scrapedAt)
  • Title (title)
  • Company (company)
  • Location (location)
  • Salary (salary)

Each run also includes a scrapedAt timestamp indicating when the data was collected. You can use this field to track data freshness across multiple runs.

Example output:

{
"url": "https://example.com/page",
"error": "Example error",
"errorMessage": "Example error message",
"scrapedAt": "2026-02-18T00:00:00.000Z",
"title": "Example title",
"company": "Example company",
"location": "Example location",
"salary": "Example salary"
}

You can preview the data in the formatted Overview table on the Output tab, which displays the most important fields in an easy-to-read format. The full dataset with all fields is available for download or API access.

Cost of usage

This actor is priced using Apify's Pay-Per-Event model. Each successfully extracted result costs approximately $0.003 per item ($3.00 per 1,000 results).

  • Extracting 100 results costs approximately $0.30
  • Extracting 1,000 results costs approximately $3.00
  • On the free Apify plan ($5/month platform credit), you can extract approximately 1,666 results per month

Platform usage costs (compute units for memory and CPU time) are charged separately by Apify at standard rates. Most runs of this actor complete quickly with minimal compute overhead, so the per-event charge represents the majority of the total cost.

Tips and advanced usage

This actor uses a headless browser (Puppeteer) to render JavaScript-heavy pages. It requires more memory than simple HTTP scrapers but can handle dynamic content that loads via JavaScript. The default memory allocation is optimized for most use cases, but you can increase it for sites with heavy JavaScript or many concurrent pages.

You can schedule this actor to run automatically at regular intervals using Apify Schedules. This is ideal for monitoring price changes, tracking new listings, aggregating fresh data, or keeping your dataset up to date without manual intervention. Schedules support cron expressions for precise timing control.

For large-scale extraction or integration into automated workflows, use the Apify API to start runs programmatically and retrieve results directly into your data pipeline. The actor integrates seamlessly with tools like Google Sheets, Zapier, Make (Integromat), and n8n for building automated data workflows. You can also use webhooks to trigger downstream actions when a run completes successfully.

Part of our jobs data collection suite. See also:


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