{
  "data": {
    "id": "Lsud1RgEXseS2kO7K",
    "userId": "TUYZnHf3wEDcqqsoh",
    "name": "gemini-search",
    "username": "s-r",
    "description": "Ask Google Gemini your questions and get the full Markdown answer plus every cited URL and domain as dataset rows. Track brand mentions and AI visibility in Gemini by question, country and language. Empty and refused answers are free.",
    "isPublic": true,
    "createdAt": "2026-10-05T02:09:37.472Z",
    "modifiedAt": "2026-10-05T02:15:44.502Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "T1ZluDDq4ShIsuSC6",
        "finishedAt": "2026-10-05T02:10:42.664Z",
        "buildNumberInt": 100002,
        "buildNumber": "0.1.2"
      }
    },
    "stats": {
      "totalBuilds": 2,
      "totalRuns": 13632,
      "totalUsers": 30,
      "totalUsers7Days": 10,
      "totalUsers30Days": 27,
      "totalUsers90Days": 27,
      "lastRunStartedAt": "2026-11-03T12:18:27.394Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 1,
        "FAILED": 0,
        "SUCCEEDED": 13313,
        "TIMED-OUT": 0,
        "TOTAL": 13314
      }
    },
    "versions": [
      {
        "versionNumber": "0.0",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      },
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 3600,
      "memoryMbytes": 1024
    },
    "exampleRunInput": {
      "body": "{ \"helloWorld\": 123 }",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "AI",
      "SEO_TOOLS",
      "MARKETING"
    ],
    "isDeprecated": false,
    "title": "Gemini Scraper - Gemini Search Answers, Citations & Sources",
    "seoTitle": "Gemini Scraper - Answers, Citations & AI Visibility",
    "seoDescription": "Gemini scraper for SEO and GEO: the Gemini answer in Markdown with every cited URL and domain, per question, country and language. Pay only for answers.",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "ai_response": {
              "eventTitle": "Gemini answer",
              "eventDescription": "One delivered, non-empty Google Gemini answer with its cited sources. Empty and refused answers are free.",
              "eventPriceUsd": 0.005,
              "isPrimaryEvent": true
            }
          }
        },
        "createdAt": "2026-10-05T02:09:38.396Z",
        "startedAt": "2026-10-05T02:09:38.396Z",
        "apifyMarginPercentage": 0.2
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Gemini Scraper\n\nA scraper that queries Google Gemini as an anonymous visitor and captures the consumer-facing, full Markdown answers together with structured citation metadata and model/location metadata. For each question it records a per-question observation containing the complete Markdown answer, the list of unique cited source URLs and domains with metadata (title, domain, position, snippet/inline excerpt, and section type), indicators for refusals and billing, the model and answer language reported by Gemini, and a retrieval timestamp; it can also emit separate citation records for each cited page and capture shopping-card observations (product title, price/currency, rating, review count, brand, merchant, and shopping URL) when present. Citation ordering preserves inline supporting sources before additional searched sources, URLs are deduplicated, and returned answers retain Markdown structure (headings, lists, links, tables) with interface placeholders removed. Keywords: Google Gemini, scraper, search answers, citations, Markdown answers, cited domains, inline sources, searched sources, shopping cards, model metadata, location, timestamp, AI-visibility, generative engine optimisation, SEO.\n\n## Use cases\n\n- Monitor brand mentions in Gemini-generated answers and count domain appearances among cited sources for visibility tracking.  \n- Compare AI visibility and cited domains across countries and interface languages by running identical questions with different locales.  \n- Track citation provenance for SEO and geographic content strategy by distinguishing inline supporting sources from pages consulted via search.  \n- Research answer structure, recommendations, and commercial shopping cards to inform content and product strategy.  \n- Build time-series observations (scheduled runs) to compare changes in answers and cited domains over time for AI visibility and generative engine optimisation.",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDojOzCxf7HDMZQfmDRACi7W54Uc3nG7o6/bLGi2CXKxjLdfuO93dsJL545MgODKbPnASocqEJfEFOQEAtmLa6EveJq35+RMLU9PYwg/s6hGe7aWGg0+jQG3rLOCK9ACq/ytZv3q6tgi0x+c7vBsjLtUIknGpATPSY51KMkSydh0HANDryCFOddtEl9/6/BDrFj7eSvCcy468mtOdcYBN51NBmZf6rxanf7wr6LT1Cx8NrA1eIOxJXECYyZ9KxoLXimWH99uel/3zT3sddfPn9NJakNRSjhx5O8rXbDJXZrP47Bfuvjy7qb9ortMVzdLl5R4p0zPQizi1PPjOwOoTuh \n"
  }
}