{
  "data": {
    "id": "bYtpLK0zhABsQb1kz",
    "userId": "HIMU0xktu1JeZb4Xl",
    "name": "google-trending-searches-scraper",
    "username": "fetch_cat",
    "description": "Scrape country-level Google trending search topics with traffic estimates, trend timing, and related news context.",
    "isPublic": true,
    "createdAt": "2026-06-17T02:58:35.995Z",
    "modifiedAt": "2026-08-26T06:09:32.348Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "0pEaqyuhBD2g7WMM5",
        "finishedAt": "2026-08-26T06:09:32.348Z",
        "buildNumberInt": 100017,
        "buildNumber": "0.1.17"
      }
    },
    "stats": {
      "totalBuilds": 17,
      "totalRuns": 119,
      "totalUsers": 3,
      "totalUsers7Days": 0,
      "totalUsers30Days": 1,
      "totalUsers90Days": 1,
      "lastRunStartedAt": "2026-08-26T14:06:43.493Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 30,
        "TIMED-OUT": 0,
        "TOTAL": 30
      }
    },
    "versions": [
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 256
    },
    "exampleRunInput": {
      "body": "{\"geos\": [\"US\", \"GB\"], \"maxItemsPerGeo\": 10, \"includeNewsItems\": true}",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "SEO_TOOLS",
      "MARKETING",
      "NEWS"
    ],
    "isDeprecated": false,
    "title": "Google Trending Searches Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/HIMU0xktu1JeZb4Xl-actor-bYtpLK0zhABsQb1kz-MTGDIuLhE5-google-trending-searches-scraper.png",
    "seoTitle": "Google Trending Searches Scraper - Export Trends",
    "seoDescription": "Export Google trending searches by country with traffic estimates, timing, related news, images, and clean CSV, JSON, Excel, or API output for monitoring.",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Start",
              "eventDescription": "One-time fee per run",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "result": {
              "eventTitle": "Trending search result",
              "eventDescription": "Per trending search topic saved to the dataset",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.000575
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.0005
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.00039
                },
                "GOLD": {
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                "DIAMOND": {
                  "tieredEventPriceUsd": 0.00014
                }
              }
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        "startedAt": "2026-06-17T03:01:35.000Z",
        "apifyMarginPercentage": 0.2,
        "createdAt": "2026-06-17T03:01:35.423Z"
      },
      {
        "pricingModel": "PAY_PER_EVENT",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Run started",
              "eventDescription": "One-time fee charged when a run starts. Covers fixed startup cost.",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "result": {
              "eventTitle": "Trending search result",
              "eventDescription": "Per trending search topic saved to the dataset.",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.0000575
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.00005
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.000039
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.00003
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.00002
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.000014
                }
              }
            }
          }
        },
        "startedAt": "2026-06-17T03:04:11.000Z",
        "apifyMarginPercentage": 0.2,
        "createdAt": "2026-06-17T03:04:12.101Z"
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Google Trending Searches Scraper\n\nA country-level Google Trends scraper that collects current trending search topics and related context via HTTP collection, returning structured, normalized rows for multi-geo trend monitoring. The Actor extracts trending phrases with approximate traffic labels, publication timing, related queries and related news context, image metadata and source traceability; supports multi-country runs and optional inclusion of news cards; is designed for scheduled or recurring runs to feed dashboards, alerts, editorial workflows, keyword research, and market-intelligence processes.\n\n## Use cases\n\n- News monitoring and newsroom alerts to spot breaking or gaining topics.  \n- SEO research and discovery of timely keyword opportunities.  \n- Editorial planning and rapid story-idea generation while topics are trending.  \n- Content marketing and social media planning for fast-response posts and campaigns.  \n- Market intelligence and cross-country comparison of attention spikes.  \n- Brand safety review and monitoring of emerging brand-related searches.  \n- Building content calendars by turning trend titles and news snippets into draft ideas.  \n- Automation into Slack alerts, spreadsheets, or BI tools for team workflows.  \n- Exporting trend rows to Google Sheets or Airtable for editorial review and tagging.  \n- Feeding BI dashboards and internal scoring workflows for trend analysis.",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqZP2pQTP0pa1CqV8jHJfqncjrGImYhcpeKftIl/56PVDHBiSq3xhFemfR8mZeElvpRmCvo5BjOSrNLpRvARSE1354Zi+ed8/wGaP44FkvrduVyPuhAnPNnUV2k0UkWGpzttgsAFWkPrdgpdYXqTSPUhSMjTwgsM8V8gAMKTlJoEJ62djInAFG/tZIE6FD1gIbjOGrH6hUgPEravH6IP2J0iz3QRzA0MFnpKDELWba59ZvCToW1eQwi1Vtw6Tw1UURaZlNrFjlqVuvCTv4o/YZQTq2LJzyXp8zEBhG2KWR7K2mu4YJnKPxSML0U7v8hYkQ+8A6Ba1Vb78nQlUTvANV \n"
  }
}