Under maintenance

Pricing

Pay per event + usage

Try for free

Go to Apify Store

Amazon Best Sellers Scraper

Under maintenance

Try for free

Extract 1000 of Amazon best-selling products at a time with ranking, prices, ratings, review counts, offer data & product video URLs. Perfect for market research & competitor analysis.

Pricing

Pay per event + usage

Rating

0.0

(0)

Developer

CodeNest

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

E-commerce

Automation

Developer tools

You can access the Amazon Best Sellers Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.0",
    "x-build-id": "HOWYRe21a1otKdvPV"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/codenest~amazon-best-sellers-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-codenest-amazon-best-sellers-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/codenest~amazon-best-sellers-scraper/runs": {
      "post": {
        "operationId": "runs-sync-codenest-amazon-best-sellers-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/codenest~amazon-best-sellers-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-codenest-amazon-best-sellers-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "categoryUrls"
        ],
        "properties": {
          "categoryUrls": {
            "title": "Category URLs",
            "type": "array",
            "description": "Enter Amazon Best Sellers category URLs (e.g. https://www.amazon.com/Best-Sellers-Electronics/zgbs/electronics or https://www.amazon.com/gp/bestsellers/books/17).",
            "items": {
              "type": "string"
            }
          },
          "maxPages": {
            "title": "Pages to Scrape",
            "minimum": 1,
            "maximum": 5,
            "type": "integer",
            "description": "How many pages of the Best Sellers list to scrape per category (Amazon typically shows 2 pages, max 100 products).",
            "default": 2
          },
          "maxConcurrency": {
            "title": "Max Concurrency (Speed)",
            "minimum": 1,
            "maximum": 15,
            "type": "integer",
            "description": "Maximum number of product details to fetch in parallel. Default is 6 for speed.",
            "default": 6
          },
          "minDelayMs": {
            "title": "Minimum Delay (ms)",
            "minimum": 100,
            "type": "integer",
            "description": "Minimum random delay between requests. Default 500ms.",
            "default": 500
          },
          "maxDelayMs": {
            "title": "Maximum Delay (ms)",
            "minimum": 100,
            "type": "integer",
            "description": "Maximum random delay between requests. Default 1500ms.",
            "default": 1500
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Amazon Best Sellers Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Amazon Best Sellers Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Amazon Best Sellers Scraper API in Python

Amazon Best Sellers Scraper API in JavaScript

Amazon Best Sellers Scraper API through CLI

Amazon Best Sellers Scraper API

Amazon Bestsellers Scraper

junglee/amazon-bestsellers

Scrape the Amazon Best Sellers categories and extract details on top 100 most popular items on Amazon. Download product name, price, URL, and thumbnail image. Best used on .com, .co.uk, .de, .fr, .es, and .it domains. Download your data in various formats: HTML table, JSON, CSV, Excel, and more.

Junglee

3.7K

5.0

(10)

Fast Amazon Bestsellers Scraper

amazon-scraper/amazon-bestsellers-scraper

Amazon Best Sellers Scraper, Amazon URLs from 9 different Amazon domains: .com, com.au, .in, co.jp, .de. .co.uk, .fr, .es and .it. Scrape the 100 top-selling items on Amazon

Amazon Scraper

476

5.0

(1)

Amazon Bestsellers Scraper

scraper-engine/amazon-bestsellers-scraper

Amazon Bestsellers Scraper extracts top-selling product data from Amazon’s bestseller lists. Collect product titles, rankings, prices, reviews, ratings, and ASINs across categories. Ideal for market research, competitor analysis, and e-commerce insights with accurate, up-to-date data.

Scraper Engine

5.0

(2)

Amazon Bestsellers Scraper

dainty_screw/amazon-bestsellers-scraper

Amazon Bestsellers Scraper is a powerful Apify actor designed to efficiently extract real-time data from Amazon's Best Sellers lists. This actor is tailored for businesses, researchers, and individuals who seek to monitor and analyze market trends, product rankings, and pricing dynamics

codemaster devops

5.0

(1)

Amazon Best Sellers Scraper

parseforge/amazon-bestsellers-scraper

Track Amazon Best Sellers rankings across any category and domain. Collect product names, prices, ratings, review counts, and ASINs from any category listing. Enable product details to also collect brand, stock status, feature bullets, gallery images, and monthly purchase volume per product.

ParseForge

Amazon Bestsellers Scraper

simpleapi/amazon-bestsellers-scraper

Amazon Bestsellers Actor extracts top-ranked products from Amazon’s Best Sellers lists across any category. It collects titles, prices, ratings, reviews, rankings, images, and seller details. Perfect for market research, trend spotting, competitor analysis, and automated product insights at scale

SimpleAPI

Amazon Bestsellers Scraper

automation-lab/amazon-bestsellers-scraper

Scrape Amazon Best Sellers rankings from any category. Extract product names, prices, ratings, reviews, ASIN codes, and thumbnails. 10 marketplaces. Export to JSON, CSV, Excel, or API.

Stas Persiianenko

Amazon Best Sellers Scraper

codingfrontend/amazon-bestsellers-scraper

Scrape Amazon Best Sellers rankings by category from Amazon.in (and other marketplaces). Extracts rank, title, ASIN, price, rating, reviews, and optionally full product details.

codingfrontend

Amazon Best Sellers Scraper

happitap/amazon-best-sellers-scraper

Extracts real-time product listings from Amazon's Best Sellers pages with structured data including title, ASIN, rank, price, ratings, reviews, and more. Perfect for eCommerce competitor analysis, product research, and trend monitoring.

HappiTap

122

5.0

(3)

Amazon Best Sellers Scraper

pintostudio/amazon-best-sellers-scraper

The Amazon BestSeller Actor is a web scraping tool deployed on the Apify platform that extracts best-selling products from Amazon across multiple product categories and countries.

Pinto Studio

Amazon Bestsellers Scraper

api-empire/amazon-bestsellers-scraper

Amazon Bestsellers Scraper extracts top-selling products from any Amazon bestseller category. Capture titles, prices, ratings, ranks, images, and key details. Ideal for market research, product validation, competitor tracking, and workflows needing structured bestseller data.