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    "username": "fetch_cat",
    "description": "Scrape public Quora questions and answers from keyword searches or direct question URLs. Export text, authors, credentials, links, dates, and visible metrics.",
    "isPublic": true,
    "createdAt": "2026-07-25T08:32:48.378Z",
    "modifiedAt": "2026-08-09T08:48:37.927Z",
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      "totalUsers": 2,
      "totalUsers7Days": 1,
      "totalUsers30Days": 1,
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      "lastRunStartedAt": "2026-08-26T12:08:55.103Z",
      "actorReviewCount": 0,
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      "publicActorRunStats30Days": {
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    "versions": [
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        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
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    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 1024
    },
    "exampleRunInput": {
      "body": "{\"queries\":[\"market research\"],\"maxItemsPerQuery\":5,\"failOnBlocked\":true}",
      "contentType": "application/json"
    },
    "categories": [
      "LEAD_GENERATION",
      "BUSINESS",
      "AUTOMATION"
    ],
    "isDeprecated": false,
    "title": "Quora Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/HIMU0xktu1JeZb4Xl-actor-xDvjSQP7YsL8EHMkn-N0pcAEN4Oe-actor-icon.png",
    "seoTitle": "Quora Scraper - CSV, JSON, API",
    "seoDescription": "Scrape public Quora questions and answers by keyword or URL. Export text, authors, credentials, links, dates, and visible metrics to CSV, JSON, or API.",
    "pricingInfos": [
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        "startedAt": "2026-08-03T22:22:25.250Z",
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              "eventTitle": "Item extracted",
              "eventDescription": "Charged per item extracted.",
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    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
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    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Quora Scraper\n\nQuora Scraper collects public Quora questions and answers from direct question URLs or keyword searches and returns source-linked Q&A records that include question and answer text, canonical question links, public author details and credentials, visible engagement metrics (upvotes, views, comments, shares when shown), posting timestamps (parsed and raw labels), collection timestamps, and extraction status. The Actor discovers candidate question pages via queries or supplied question links, validates and opens each page, extracts structured metadata and visible labels, preserves missing values rather than inventing them, and supports repeated monitoring of selected questions with result-preservation across partial failures for research, reporting, and automated analysis workflows.\n\n## Use cases\n\n- Research how people discuss a product, market, problem, or trend for market and customer research  \n- Export public answers with author names, credentials, links, dates, and visible engagement metrics for qualitative review or datasets  \n- Monitor selected public questions on a schedule to track new answers or changes over time  \n- Build source-linked Q&A datasets for reporting, analysis, or enrichment workflows  \n- Discover audience language and topic demand for content and SEO planning  \n- Feed public discussions into automation or AI tools for summarization, clustering, or downstream processing  \n- Preserve successful extraction results when some sources fail while avoiding misleading empty-run successes",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCpfEH0xBM1THvBEvybd+T99X2/oPJJxnrpfVFj2JGnAWxAmpFgHRj5uoZtADSQKprsYhqyzYHsWxXdn1lu+8vjuQyUBE8TsiOLb1rY16kQ9mcP4RRnczkgQurbYYGmUC55pIgDzbD992SKHqg9EoPOUxCFuvJuw1bPlZ1YCaRJh/8gWloLi7RBwfKaM8NnaJLadrMPWdUoc5lO+OKifoFIanqSnuVv5CN9xkBOE3PlSnT4vZYeurkq+jsX+17mzNQiWEEhE+nE0ml1V0kzslkEe8xGQJZIyiGJbEkX7q3QHDrF1twtkLR8ivOyzrm2nqMHYoHR8FyrpFIjvJI8dXZF \n"
  }
}