{
  "data": {
    "id": "DAj0KBMoCNDqMLe82",
    "userId": "HIMU0xktu1JeZb4Xl",
    "name": "reddit-scraper",
    "username": "fetch_cat",
    "description": "Scrape Reddit posts, search results, and optional comments from subreddits, users, or URLs. Export public discussion data for monitoring, research, and AI summaries.",
    "isPublic": true,
    "createdAt": "2026-06-13T16:33:09.129Z",
    "modifiedAt": "2026-07-09T11:03:39.034Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "j74aYAJeIFTA4Q2Jv",
        "finishedAt": "2026-07-09T11:03:39.034Z",
        "buildNumberInt": 100031,
        "buildNumber": "0.1.31"
      },
      "beta": {
        "buildId": "s2MnEYVuIUVphOJcK",
        "finishedAt": "2026-07-09T02:04:12.619Z",
        "buildNumberInt": 100023,
        "buildNumber": "0.1.23"
      }
    },
    "stats": {
      "totalBuilds": 31,
      "totalRuns": 188,
      "totalUsers": 6,
      "totalUsers7Days": 1,
      "totalUsers30Days": 3,
      "totalUsers90Days": 3,
      "lastRunStartedAt": "2026-07-09T19:44:49.372Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 57,
        "TIMED-OUT": 0,
        "TOTAL": 57
      }
    },
    "versions": [
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 512
    },
    "exampleRunInput": {
      "body": "{\"urls\": [{\"url\": \"https://www.reddit.com/r/technology/\"}], \"sort\": \"hot\", \"maxPostsPerSource\": 5, \"includeComments\": false, \"proxyConfiguration\": {\"useApifyProxy\": true, \"apifyProxyGroups\": [\"RESIDENTIAL\"], \"apifyProxyCountry\": \"US\"}}",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "SOCIAL_MEDIA",
      "AI",
      "AUTOMATION"
    ],
    "isDeprecated": false,
    "title": "Reddit Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/HIMU0xktu1JeZb4Xl-actor-DAj0KBMoCNDqMLe82-dAqRq6fp76-reddit-scraper.png",
    "seoTitle": "Reddit Scraper API for Posts, Search & Comments",
    "seoDescription": "Scrape Reddit posts, comments, subreddit feeds, user feeds, and keyword search results for market research, social listening, AI datasets, and alerts.",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "createdAt": "2026-06-13T16:39:38.312Z",
        "startedAt": "2026-06-13T16:39:37.000Z",
        "apifyMarginPercentage": 0.2,
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Start",
              "eventDescription": "One-time fee per run",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Reddit record",
              "eventDescription": "Per Reddit post or comment record produced",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.00115
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.001
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.00078
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.0006
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.0004
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.00028
                }
              }
            }
          }
        }
      },
      {
        "pricingModel": "PAY_PER_EVENT",
        "startedAt": "2026-06-13T16:42:41.000Z",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Start",
              "eventDescription": "One-time fee per run",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Item extracted",
              "eventDescription": "Charged per Reddit post or comment record extracted.",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.0001329
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.00011557
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.000090141
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.000069339
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.000046226
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.000032358
                }
              }
            }
          }
        },
        "createdAt": "2026-06-13T16:42:42.111Z",
        "apifyMarginPercentage": 0.2
      },
      {
        "pricingModel": "PAY_PER_EVENT",
        "startedAt": "2026-06-17T11:27:47.809Z",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Start",
              "eventDescription": "One-time fee per run",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Item extracted",
              "eventDescription": "Charged per Reddit post or comment record extracted.",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.0001329
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.00011557
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.000090141
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.000069339
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.000046226
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.000032358
                }
              },
              "isPrimaryEvent": true
            }
          }
        },
        "apifyMarginPercentage": 0.2,
        "createdAt": "2026-06-17T11:27:47.888Z"
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Reddit Scraper\n\nReddit Scraper converts public Reddit pages into structured records by scraping subreddit listings, individual post pages, user submission pages, comment threads, and search results (global and subreddit-scoped). It supports common sort orders and time-range targeting to capture recent or historical discussions, and can optionally extract comment threads or focused comment context for a specific comment URL. The Actor parses public HTML pages (no API credentials required), normalizes varying Reddit page structures into consistent post and comment records, and produces metadata-rich outputs including identifiers, subreddit and thread context, titles and post text or summaries, comment bodies, author names, public timestamps, score values when exposed, comment counts, parent/child relationships and nesting depth, source/resolved URLs, and scrape timestamps. The scraper includes anti-blocking considerations and proxy support for reliable collection and is geared toward monitoring, research, dataset creation, and feeding public discussion data into summarization or downstream analytics workflows.\n\n## Use cases\n\n- Monitor a subreddit for new posts about a brand, product, or competitor  \n- Build keyword-based datasets from public Reddit discussions  \n- Collect post URLs, titles, authors, timestamps, and comment counts for analysis  \n- Pull a small set of comments for thread review or qualitative research  \n- Feed public Reddit discussions into dashboards, alerts, or LLM summarization workflows  \n- Market research to track conversations around products  \n- Data analysis teams assembling public discussion datasets  \n- Developers prototyping Reddit-powered workflows and integrations  \n- Academic researchers collecting public post metadata for studies  \n- Growth teams monitoring subreddit mentions and trends  \n- Trust and safety teams analyzing public discussion trends",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDieKpr5q4/cctmLVATDPES0to/k9Tmm5OQZTK+Yacdcgp49QZbmUwPMwMDiGY8Yxygum6XNbmxeZcQU9Qc+njUKBaiZ6kVmjn1guf5khti19pX1PjJuH1i49VbEt3qyb5hYocT7vqmtVr7Y7a1sgwxzr5qCSu2fupoLlj3tTAfblJbScUQXJAH9nE47KMLOVyBjcq40g33AdVKFFgo+5ilC6bk92EUmkAZmM3mDQcredrz/ts+vOTPg82ObYwMp0wX9ngYOo/Jl2lLhRdgkBU1bWN30EfwUygMV0YDEAoknTMwuV+n4k4xJU4ODA281UWOWRAKtuGQISviiXuv4Om1 \n"
  }
}