Sports Basement Scraper

Pricing

Pay per usage

Sports Basement Scraper

Scrape Sports Basement and extract data on home and garden from sportsbasement.com. Our Sports Basement API lets you crawl product information and pricing. The saved data can be downloaded as HTML, JSON, CSV, Excel, and XML.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Mark Carter

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

3 years ago

Last modified

Categories

E-commerce

Open source

You can access the Sports Basement 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

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          "maxRequestsPerCrawl": {
            "title": "Max items",
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            "default": 20
          },
          "extendOutputFunction": {
            "title": "Extend Output Function",
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          },
          "extendScraperFunction": {
            "title": "Extend Scraper Function",
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          "customData": {
            "title": "Custom data",
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          "fetchHtml": {
            "title": "Fetch HTML",
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            "description": "If you decide to fetch the HTML of the pages, it will take twice as long. Make sure to only enable this if needed",
            "default": true
          },
          "maxConcurrency": {
            "title": "Max concurrency",
            "type": "integer",
            "description": "Max concurrency to use",
            "default": 20
          },
          "maxRequestRetries": {
            "title": "Max request retries",
            "type": "integer",
            "description": "Set the max request retries",
            "default": 3
          },
          "debugLog": {
            "title": "Debug Log",
            "type": "boolean",
            "description": "Enable a more verbose logging to be able to understand what's happening during the scraping",
            "default": false
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            "type": "object",
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              "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",
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              "status": {
                "type": "string",
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                    "type": "integer",
                    "example": 300
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                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
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              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
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                "type": "string"
              },
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                "type": "string",
                "example": "1.0.0"
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                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
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                    "example": 0
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                    "type": "integer",
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                  },
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Sports Basement 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 Sports Basement 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:

Sports Basement Scraper API in Python

Sports Basement Scraper API in JavaScript

Sports Basement Scraper API through CLI

Sports Basement Scraper API

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