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    "exampleRunInput": {
      "body": "{ \"helloWorld\": 123 }",
      "contentType": "application/json; charset=utf-8"
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    "categories": [
      "AUTOMATION",
      "LEAD_GENERATION",
      "SOCIAL_MEDIA"
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    "isDeprecated": false,
    "title": "LinkedIn Company Posts Scraper (No Cookies)",
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              "eventDescription": "Post reaction result, if selected to scrape reactions",
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        "createdAt": "2026-02-23T18:04:20.623Z",
        "apifyMarginPercentage": 0.2,
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              "eventDescription": "Post comment result, if selected to scrape comments",
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            },
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              "eventTitle": "Actor Start",
              "eventDescription": "Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).",
              "isOneTimeEvent": true,
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          }
        },
        "startedAt": "2026-10-27T13:14:06.590Z",
        "createdAt": "2026-10-27T13:14:07.520Z",
        "apifyMarginPercentage": 0.2,
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    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## LinkedIn Profile Posts scraper\n\nScrapes posts from LinkedIn profiles and company pages to extract full post content and metadata, author information, timestamps, and social engagement data; can also capture media assets (images, videos, links, documents), reposted content, and nested reactions and comments when enabled. Operates by crawling specified profile/company feeds with configurable filters for post counts, date ranges, pagination, and inclusion/exclusion of reposts and quote posts. Technical capabilities include concurrent scraping of multiple profiles/companies, no account or cookies required for access, fresh (non-cached) data retrieval, and configurable depth for reactions and comments. Outputs structured records containing post text, author metadata, engagement metrics, media/document metadata, repost content, and nested lists of reactions and comments.\n\n## Use cases\n\n- Gather posts from LinkedIn profiles or company pages for research or monitoring  \n- Engagement analysis using post-level metrics and reaction breakdowns  \n- Outreach and prospecting informed by post content, author information, and interaction data",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCrWnyQ8HLV3S9479n1aprMchzumTO4zq8mSaP+NKbD7SVxnH5rQDr0NXt+HNPWvj6J/DpMMu0xZKikqSkqU/SCxsj9XxMhCEvOni5qHg+p06/5vQdGjneNkU89Jnw+2DcugTagiOIt6rIKzt7vNBej5iMIBred9iOit7nblY6HVLvX3gMyT78xBRyZ1m+Pw2d1cGSDWASL6w8IzPwjJQX1Oy7L+93uhxHrVc5Qjcy7OPYOSZ8MbPEb/OgGcQxuh0sF27r+qRP9tk23rWRMcLUUBpDhLCrciQwvQN7hv9BZ7AeO2w9ZTqNOhMUHcguiIt/TgnRFlcceiGZX9cpVHCjP \n"
  }
}