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    "userId": "l0V7dtlB6ADFh3VuV",
    "name": "gemini-scraper",
    "username": "scrape.badger",
    "description": "Ask Google Gemini any prompt at scale and get the answer, its markdown, every citation and the source domains behind it as structured JSON. For answer-engine optimisation, AI search monitoring and research.",
    "isPublic": true,
    "createdAt": "2026-08-16T13:09:56.792Z",
    "modifiedAt": "2026-10-10T17:32:44.557Z",
    "taggedBuilds": {
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        "buildId": "PdBBeohLy9bGNfnUw",
        "finishedAt": "2026-10-10T17:32:44.557Z",
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        "buildNumber": "1.0.6"
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    "stats": {
      "totalBuilds": 6,
      "totalRuns": 898,
      "totalUsers": 7,
      "totalUsers7Days": 3,
      "totalUsers30Days": 4,
      "totalUsers90Days": 6,
      "lastRunStartedAt": "2026-11-03T05:16:25.363Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 2,
        "SUCCEEDED": 831,
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    "versions": [
      {
        "versionNumber": "1.0",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
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    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 3600,
      "memoryMbytes": 4096
    },
    "exampleRunInput": {
      "body": "{ \"helloWorld\": 123 }",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "AI",
      "SEO_TOOLS"
    ],
    "isDeprecated": false,
    "title": "Google Gemini Scraper — Answers, Citations & Sources",
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    "seoTitle": "Google Gemini Scraper — Answers, Citations & Sources",
    "seoDescription": "Ask Google Gemini any prompt at scale and get the answer, its markdown, every citation and the source domains behind it as structured JSON.",
    "pricingInfos": [
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        "pricingPerEvent": {
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    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Google Gemini Scraper\n\nGoogle Gemini Scraper extracts structured JSON data from the public Gemini web interface, capturing model-generated answers and associated metadata for scheduled or repeated collection. It supports multiple scraping modes (including an Ask mode that returns assistant answers with citations, cited source domains, and search results), pages through multi-page result sets, and delegates anti-bot handling to an upstream scraping service that provides residential proxy rotation, TLS/browser fingerprinting, and CAPTCHA solving. The Actor produces one structured record per result containing the original prompt, the full answer text, citation metadata (number of sources and cited domains), an indicator when a web search was used, the model identifier, and timing/latency metrics — output useful for monitoring answer changes, citation provenance, model comparisons, and automated analysis workflows.\n\n## Use cases\n\n- Track how Google’s assistant answers queries in a category and correlate assistant answers with organic rankings.\n- Compare Gemini’s answers and cited sources against other engines (e.g., ChatGPT, Perplexity) to assess citation differences and visibility.\n- Detect hallucinated or inaccurate claims about a product by running recurring support or FAQ prompts.\n- Conduct fast market research by collecting grounded answers with citations and following cited URLs for primary sources.",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCnN4E2evlC2p/1mx/WdkEzwFyNxUgMegUMaGtTxtHEuFTgJQDxfUWbFxe00L7GWpvCRUp7PllL7oNzLohKVgvrZyzcUP1d+lhfLrRUNclOXwJwX/V/SpX5pyrEFXekoQsr3foLCb6WlQxOz3jQ55134oqDN/ju2G2HYdecGso+TQTGPfuaYnGxaP7jfBwVch5BfQePcyOO5uBS/AlCscP/VV6XusYC6465CKLVAYrDN7IutJDxI0clsZAo8FZEm7DAdBvB56MuylYy36pvsSn7lwYnyymTeg0IM4oNtSKRO/0VgugJ0Jv5W+GMzQUo8EFPVlu66b3VeD0mk1jKJS0T \n"
  }
}