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    "name": "google-jobs-scraper",
    "username": "automation-lab",
    "description": "Search Google Jobs and extract fast job-card listings by default, with optional full detail fetching for descriptions, apply URLs, and highlights via includeDetails.",
    "isPublic": true,
    "createdAt": "2026-03-27T10:48:22.491Z",
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    "stats": {
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      "totalRuns": 9487,
      "totalUsers": 370,
      "totalUsers7Days": 13,
      "totalUsers30Days": 42,
      "totalUsers90Days": 123,
      "lastRunStartedAt": "2026-10-23T05:40:04.237Z",
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      "publicActorRunStats30Days": {
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        "FAILED": 26,
        "SUCCEEDED": 394,
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    "versions": [
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    "defaultRunOptions": {
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      "timeoutSecs": 900,
      "memoryMbytes": 512
    },
    "exampleRunInput": {
      "body": "{\"queries\":[\"software engineer\"],\"maxResults\":10,\"country\":\"us\",\"language\":\"en\"}",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "JOBS"
    ],
    "isDeprecated": false,
    "title": "Google Jobs Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/ntHCnhNUkzXR7nbUZ-actor-eODibuofeQhBDZ5VR-xAt67S9sRM-actor-icon.png",
    "seoTitle": "Google Jobs Scraper - Job Listings & Salaries",
    "seoDescription": "Scrape Google Jobs card listings by default. Optionally enable includeDetails for descriptions, apply URLs, and highlights. Export to JSON, CSV files.",
    "pricingInfos": [
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        "pricingModel": "PAY_PER_EVENT",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Run started",
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        "startedAt": "2026-03-27T10:51:18.196Z",
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        "pricingPerEvent": {
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            "start": {
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              "eventDescription": "One-time charge when the scraper starts.",
              "isOneTimeEvent": true,
              "eventTieredPricingUsd": {
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                },
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                },
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            "job-scraped": {
              "eventTitle": "Job scraped",
              "eventDescription": "Charged for each job listing extracted.",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.006
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.0054
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                "SILVER": {
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        "startedAt": "2026-08-25T20:04:10.656Z",
        "apifyMarginPercentage": 0.2,
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    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Google Jobs Scraper\n\nGoogle Jobs Scraper searches Google's job aggregation engine and extracts structured job listings into normalized records for analytics and indexing. It captures core SERP-card data such as job title, employer name, location, validated salary text and parsed compensation (minimum/maximum amounts, currency, pay interval), employment type, posting date, source domain, and the original posting URL; an optional detail mode opens job detail pages to collect full job descriptions, direct apply links, qualifications, responsibilities, and benefits. The Actor uses an efficient HTTP SERP extraction path with a bounded browser fallback for difficult queries, supports location/country/language filtering, accepts multiple queries per run and batch extraction up to 200 results per query, and performs deterministic extraction suitable for building searchable, time-series, and benchmark datasets.\n\n## Use cases\n\n- Recruiters and HR teams tracking job market trends and competitor postings across industries  \n- Compensation analysts collecting salary data across roles, locations, and companies  \n- Job aggregator platforms building comprehensive job databases from Google's curated listings  \n- Labor market researchers studying employment trends, skill demand, and hiring patterns  \n- Job board startups sourcing listings from Google's aggregated feed of thousands of boards  \n- Career coaches analyzing employer requirements for specific roles and industries  \n- Data analysts building datasets for workforce analytics, salary benchmarking, and market intelligence  \n- Policy researchers studying employment patterns, remote work trends, and regional job availability",
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  }
}