Google Jobs Scraper - fast, cheap, salary parsed

The Google Jobs Scraper is a high-performance, cost-effective google jobs api and job listings scraper that extracts comprehensive, structured job postings from Google Jobs with parsed salaries, direct application links, and incremental monitoring.

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What it does

Google Jobs Scraper retrieves public job listings from Google Jobs (/search?udm=8) through Apify's dedicated Google SERP proxy. It converts dynamic search results into clean, flat JSON records ready for your database, analytics pipeline, or CRM.

• Deep Salary Breakdown: Parses raw salary strings into structured numeric values: salaryMin, salaryMax, ISO 4217 salaryCurrency (e.g. USD, EUR, GBP, PLN), and payment period (salaryPeriod: YEAR, MONTH, WEEK, DAY, HOUR), while retaining the original salaryText.
• All Application Links: Captures every application redirect link (applyLinks) with its platform label (e.g., LinkedIn, Indeed, Company Site) and source name (via).
• Complete Job Details: Extracts job title, hiring company, location, employment type (Full-time, Part-time, Contract, etc.), posting date (postedAt in ISO-8601 UTC and original postedText), and metadata tags.
• Sanitized Descriptions & Highlights: Delivers clean, HTML-stripped job descriptions with emails automatically redacted for privacy, alongside parsed structured highlights (Qualifications, Responsibilities, Benefits).
• Search Matrix Scaling: Supports multi-query and multi-location searches in a single run (up to 50 queries × 50 locations, capped at 100 combinations).
• Incremental Monitoring (onlyNew): Remembers previously scraped listings in a persistent Key-Value store (SEEN) to only output new openings during scheduled recurring runs.
• Global Coverage: Fully customizable Google country code (countryCode / gl) and interface language (languageCode / hl).

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Why choose this actor

Here is how this scraper compares to typical market alternatives:

1. High Reliability (≥98%): Built exclusively on lightweight HTTP requests routed via Apify's official GOOGLE_SERP proxy with automated session rotation. Unlike browser-heavy scrapers that frequently suffer 8% to 89% failure and block rates, this actor delivers consistent, high-uptime extraction.
2. Fair & Transparent Execution (Zero Empty Charges): We never report false success with an empty dataset. If no jobs match your criteria, the run finishes with a transparent statusMessage detailing the cause (NO_RESULTS, filter mismatch, or SERP block). You are never charged for empty runs.
3. Structured Salary Parsing: Instead of returning unparsed, ambiguous text blocks, salaries are separated into numeric minimums, maximums, currency, and period. You can immediately filter and query salary brackets without post-processing.
4. All Application Links with Cross-Query Deduplication: Gathers all application routes instead of just the first link. Automatic deduplication by Google document ID (jobId) ensures you never receive duplicate records across overlapping search queries or locations.
5. Native Incremental Runs (onlyNew): Set up recurring hourly or daily schedules without paying for duplicate listings. Only newly discovered positions are pushed and charged.

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Input

Configure your search using the following parameters:

{
  "queries": [
    "software engineer",
    "backend developer"
  ],
  "locations": [
    "New York, NY",
    "Remote"
  ],
  "countryCode": "us",
  "languageCode": "en",
  "maxItemsPerQuery": 20,
  "maxItems": 100,
  "datePosted": "week",
  "onlyNew": false
}

Input Fields

Field	Type	Default	Description
queries	string[]	Required	List of job titles, roles, or keywords (e.g. ["software engineer"]). Up to 50 queries.
locations	string[]	["New York"]	Locations or remote filters (e.g. ["New York", "Remote"]). Max 100 query × location combinations.
countryCode	string	"us"	Two-letter Google country code (gl parameter), e.g. us, de, gb, pl.
languageCode	string	"en"	Two-letter Google language code (hl parameter), e.g. en, de, pl.
maxItemsPerQuery	integer	20	Max items per query combination. Each Google page contains ~10 listings (pagination is scaled via query/location combinations).
maxItems	integer	100	Hard cap on total results across the entire run to prevent budget overruns.
datePosted	string	"any"	Date filter: any, today (past 24h), 3days, week, or month.
onlyNew	boolean	false	When enabled, skips jobs already processed in previous runs via the SEEN Key-Value store.

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Output

Each job offer is stored as a flat, comprehensive JSON record in the default dataset:

{
  "jobId": "fp8W9b3Qk2A10z_rAAAAAA==",
  "title": "Senior Software Engineer - Backend",
  "company": "Acme Technologies",
  "location": "New York, NY",
  "via": "LinkedIn",
  "postedAt": "2026-10-22T00:00:00+00:00",
  "postedText": "4 days ago",
  "employmentType": "Full-time",
  "salaryMin": 140000,
  "salaryMax": 185000,
  "salaryCurrency": "USD",
  "salaryPeriod": "YEAR",
  "salaryText": "$140,000 - $185,000 a year",
  "description": "We are seeking an experienced Backend Engineer to lead our core services team. In this role, you will design scalable APIs, optimize distributed data pipelines, and collaborate with product teams. Contact us at [email removed] for any questions.",
  "descriptionLength": 251,
  "highlights": {
    "Qualifications": [
      "5+ years of production experience in Python, Go, or Java",
      "Hands-on expertise with PostgreSQL and distributed message brokers"
    ],
    "Responsibilities": [
      "Architect and scale core microservices",
      "Lead technical design reviews and mentor team members"
    ],
    "Benefits": [
      "Competitive health, dental, and vision coverage",
      "401(k) matching up to 5%",
      "Flexible hybrid and remote work options"
    ]
  },
  "applyLinks": [
    {
      "label": "Apply on LinkedIn",
      "url": "https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Fjobs%2Fview%2F123456789"
    },
    {
      "label": "Apply on Company Site",
      "url": "https://www.google.com/url?q=https%3A%2F%2Fcareers.acme.example.com%2Fjob%2Fsenior-backend"
    }
  ],
  "tags": [
    "Full-time",
    "Health insurance",
    "Paid time off"
  ],
  "query": "software engineer",
  "location_query": "New York, NY",
  "countryCode": "us",
  "languageCode": "en",
  "scrapedAt": "2026-10-26T12:00:00.000Z"
}

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Pricing

This actor uses a transparent Pay-Per-Event (PPE) pricing model:

• $0.002 per job record (result-item).
• Scraping 1,000 job listings costs just $2.00.

Market Comparison

Pricing Model	Typical Market Rate	This Actor
Per job result	$0.01 – $0.03	$0.002 (5x to 15x cheaper)
Per page fee	$0.09 – $0.20 / page	$0.00 (no per-page charges)
Empty / failed runs	Often billed	$0.00 (never charged on 0 results)
Startup / monthly minimum	Often required	$0.00 (pay only for what you extract)

You only pay for valid, successfully extracted job records pushed to your dataset.

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FAQ

1. How many job listings can I extract per search?

A single Google Jobs SERP page provides approximately 10 listings per query. Because Google Jobs does not support pagination on this interface, scale your extraction by utilizing the search matrix: provide multiple related titles in queries (e.g. ["backend engineer", "python developer", "software engineer"]) and multiple locations in locations. The actor automatically runs the product of queries × locations (up to 100 combinations).

2. How does the incremental monitoring (onlyNew) feature work?

When onlyNew: true is configured, the actor checks each extracted job against a list of previously scraped IDs stored in the SEEN Key-Value store. Any job that was delivered in an earlier run is skipped automatically and not charged. This makes it ideal for automated, scheduled runs (e.g. daily alerts).

3. Can I filter jobs by publication date?

Yes. You can set datePosted to today (past 24 hours), 3days, week, or month. Note that Google's search parameter for date filtering is optimized for English queries (languageCode: "en"); for other languages, it is ignored safely to prevent unintended zero-result drops.

4. Does this actor extract personal contact info for recruiters?

No. In compliance with strict privacy and GDPR standards, this actor exclusively extracts organizational and employer job postings. Personal recruiter profiles and direct contacts are outside its scope. Furthermore, any email addresses found inside job descriptions are automatically redacted and replaced with [email removed].

5. What happens if Google blocks a request or returns zero results?

The actor implements a fail-on-zero policy. If 0 offers are found, it does not record a misleading success; instead, it sets a clear diagnostic status message (distinguishing between natural NO_RESULTS, query mismatch, or SERP blocks) and terminates without charging your account. In addition, when unexpected page layout changes occur, the first 200 KB of HTML is preserved in the Key-Value store under DEBUG_* for inspection.

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Legality & Compliance

• Public Data Only: The actor collects publicly available Google search engine results without bypassing authentication, paywalls, or login requirements.
• Privacy Protection: Extracts corporate hiring information only. Recruiter personal data is not collected, and email addresses in descriptions are automatically redacted.
• User-Directed Queries: Searches are executed strictly on user demand with configurable quantity caps; there is no autonomous mass crawling.
• Redirects Only: Application URLs are captured as Google redirect links; external job board pages are not crawled or scraped.
• User Responsibility: Users are responsible for ensuring that their downstream storage, processing, and use of collected data adhere to applicable local laws, regulations, and third-party terms.

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Feedback & Reviews

We actively maintain and improve the Google Jobs Scraper. If this actor saved you time, reduced your infrastructure expenses, or simplified your data pipeline, please consider leaving a 5-star review on the Apify Store. Your feedback and suggestions directly guide future updates!