{
  "data": {
    "id": "2gEiylC6OpE9FtwiS",
    "userId": "HIMU0xktu1JeZb4Xl",
    "name": "poshmark-sold-listings-scraper",
    "username": "fetch_cat",
    "description": "Scrape sold Poshmark listings for resale comps. Export sold price, brand, size, category, seller, image, and URL data for pricing research.",
    "isPublic": true,
    "createdAt": "2026-06-14T13:23:43.819Z",
    "modifiedAt": "2026-07-19T06:38:00.132Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "7jfpshWebFeF128SE",
        "finishedAt": "2026-07-19T06:38:00.132Z",
        "buildNumberInt": 100013,
        "buildNumber": "0.1.13"
      }
    },
    "stats": {
      "totalBuilds": 13,
      "totalRuns": 225,
      "totalUsers": 1,
      "totalUsers7Days": 0,
      "totalUsers30Days": 0,
      "totalUsers90Days": 0,
      "lastRunStartedAt": "2026-08-26T01:24:45.170Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 63,
        "TIMED-OUT": 0,
        "TOTAL": 63
      }
    },
    "versions": [
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 512
    },
    "exampleRunInput": {
      "body": "{\"query\": \"nike shoes\", \"maxItems\": 20, \"maxPages\": 2, \"sortBy\": \"added_desc\", \"proxyConfiguration\": {\"useApifyProxy\": false}}",
      "contentType": "application/json"
    },
    "categories": [
      "ECOMMERCE",
      "AUTOMATION",
      "BUSINESS"
    ],
    "isDeprecated": false,
    "title": "Poshmark Sold Listings Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/HIMU0xktu1JeZb4Xl-actor-2gEiylC6OpE9FtwiS-v0SN2Atf7B-actor-icon.png",
    "seoTitle": "Poshmark Sold Listings Scraper for Sold Comps",
    "seoDescription": "Scrape Poshmark sold listings and resale comps with sold prices, brands, sizes, sellers, images, and item URLs for resale price research in CSV or JSON.",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "createdAt": "2026-06-14T13:26:43.604Z",
        "startedAt": "2026-06-14T13:26:43.000Z",
        "apifyMarginPercentage": 0.2,
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Start",
              "eventDescription": "One-time fee per run",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Sold listing saved",
              "eventDescription": "Per sold Poshmark listing saved to the dataset",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.000575
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.0005
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.00039
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.0003
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.0002
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.00014
                }
              }
            }
          }
        }
      },
      {
        "pricingModel": "PAY_PER_EVENT",
        "createdAt": "2026-06-14T13:29:06.905Z",
        "startedAt": "2026-06-14T13:29:06.000Z",
        "apifyMarginPercentage": 0.2,
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Run started",
              "eventDescription": "One-time fee charged when a run starts. Covers fixed startup cost.",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Sold listing saved",
              "eventDescription": "Charged per sold Poshmark listing saved to the dataset.",
              "eventPriceUsd": 0.000026163
            }
          }
        }
      },
      {
        "pricingModel": "PAY_PER_EVENT",
        "startedAt": "2026-06-14T13:42:26.331Z",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Run started",
              "eventDescription": "One-time fee charged when a run starts.",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Sold listing saved",
              "eventDescription": "Charged per sold Poshmark listing saved to the dataset.",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.000575
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.0005
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.00039
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.0003
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.0002
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.00014
                }
              }
            }
          }
        },
        "createdAt": "2026-06-14T13:42:26.429Z",
        "apifyMarginPercentage": 0.2
      },
      {
        "pricingModel": "PAY_PER_EVENT",
        "startedAt": "2026-06-17T11:27:47.367Z",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "start": {
              "eventTitle": "Run started",
              "eventDescription": "One-time fee charged when a run starts.",
              "eventPriceUsd": 0.005,
              "isOneTimeEvent": true
            },
            "item": {
              "eventTitle": "Sold listing saved",
              "eventDescription": "Charged per sold Poshmark listing saved to the dataset.",
              "eventTieredPricingUsd": {
                "FREE": {
                  "tieredEventPriceUsd": 0.000575
                },
                "BRONZE": {
                  "tieredEventPriceUsd": 0.0005
                },
                "SILVER": {
                  "tieredEventPriceUsd": 0.00039
                },
                "GOLD": {
                  "tieredEventPriceUsd": 0.0003
                },
                "PLATINUM": {
                  "tieredEventPriceUsd": 0.0002
                },
                "DIAMOND": {
                  "tieredEventPriceUsd": 0.00014
                }
              },
              "isPrimaryEvent": true
            }
          }
        },
        "apifyMarginPercentage": 0.2,
        "createdAt": "2026-06-17T11:27:47.446Z",
        "isPriceChangeNotificationSuppressed": true
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## Poshmark Sold Listings Scraper\n\nA web scraper that extracts public sold-listing results from Poshmark search pages to generate structured, record-per-listing data for resale price analysis and marketplace research. It programmatically navigates sold-listing search results and pagination, parses sold and listing price information, marketplace metadata (brand, size, category, department), seller identifiers and display names, listing identifiers and public URLs, image URLs, timestamps (creation/update/sold), currency, and source query context. The Actor produces cleaned, structured records optimized for comparative pricing, trend analysis, and automated monitoring workflows, and supports pagination controls and proxy handling for large or recurring runs.\n\n## Use cases\n\n- Collect resale comps and sold-price research for pricing decisions\n- Inventory sourcing and pre-purchase price comparison for resellers and flippers\n- Marketplace analysis of brand, size, category, and department demand\n- Repeatable price-monitoring workflows and scheduled trend tracking\n- Compare sold prices against original/list prices for margin analysis\n- Title and category analysis to identify common listing keywords and classifications\n- Seller visibility audits using public seller metadata in sold-search results\n- Build brand demand reports by tracking sold price ranges, categories, and sizes over time\n- Create datasets for researchers and data teams for dashboards, enrichment, and historical market studies\n- Automate resale pricing checks (median/low/high price summaries and outlier identification)",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDtxHzI5UMQ4Bet6/0U+bGCIn8Mn+slTGb7pbWAZaufm6gOc82XSpbmam7ArwbNy0nc2vnQrt33dlhwxOUNoQ0ejzKKw+6QoDsr8rZgnzXSI3mxUZ91c7w9EzaxUGaUZqEt9AHN7jOg5YmMoHQD4KXoU6H7UeGEgI4RLU4LSYXi/29YKMXjIvs1LirYlY9Py9KTHtBSrt97P39VHQhyw9X0I8ReUs40tJd5NN8IvwUTdIPnLkaQpdEMWFCtrE3IVyba+cqSJvB6fIy3LWKT5o0UP0PW+w/OCaO+CWVL7vjSHU4iXV+2wfDtzPjmhiiIXUTfIAJ/X1mrW4Znjml7U0nX \n"
  }
}