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Builtwith Discovery Parser Spider

Introduction

The Builtwith Discovery Parser Spider is a powerful tool designed to extract detailed information from BuiltWith's discovery platform. It enables users to gather insights on various platforms and technologies used by websites, providing valuable data for market research, competitive analysis, and more.

Features

• Comprehensive Data Extraction: Extracts detailed information about platforms and technologies.
• Customizable Search Parameters: Allows configuration of search keys and item limits.
• High-Quality Data Output: Provides reliable and structured output in JSON format.
• Scalable Performance: Efficiently handles large datasets with adjustable item limits.
• User-Friendly Interface: Easy setup and execution within the Apify platform.

Input Parameters Table

Parameter	Type	Required	Description	Example
SearchKey	string	No	The search key for the spider.	"Platform"
item_limit	integer	No	Maximum items to scrape per actor run. Set to 0 for no limit.	10

Example Usage

Input JSON

{
  "SearchKey": "Platform",
  "item_limit": 10
}

Output JSON

[
  {
    "name": "Platform Media",
    "detail_url": "https://trends.builtwith.com/agency/Platform-Media",
    "description": "Platform Media is a Belfast-based marketing agency that goes beyond traditional services and helps extend clients' reach.",
    "categories": [
      "Agency",
      "UK Agency"
    ],
    "total_live": 5,
    "live_and_expired": 54,
    "expired": 49,
    "actor_id": "1HTY4SdsH74meN2aB",
    "run_id": "eRiJRthUVYZ7WgK4U"
  },
  {
    "name": "Acadaca Platform",
    "detail_url": "https://trends.builtwith.com/shop/Acadaca-Platform",
    "description": "Enterprise eCommerce platform.",
    "categories": [
      "eCommerce",
      "Enterprise",
      "Online Store Builder",
      "Hosted Solution",
      "Agency",
      "B2B eCommerce",
      "Cross-Border eCommerce",
      "Custom Commerce Solution",
      "Digital Experience Platform",
      "Direct-to-Consumer eCommerce",
      "eCommerce Enabler",
      "eCommerce Marketing",
      "Fashion eCommerce",
      "Industry-Specific eCommerce",
      "Mobile Commerce Platform",
      "Omnichannel Commerce",
      "Order Management System",
      "Social Commerce"
    ],
    "total_live": 14,
    "american_live_sites": 6,
    "live_and_expired": 136,
    "expired": 122,
    "actor_id": "1HTY4SdsH74meN2aB",
    "run_id": "eRiJRthUVYZ7WgK4U"
  },
  {
    "name": "Leaflet Platform",
    "detail_url": "https://trends.builtwith.com/shop/Leaflet-Platform",
    "description": "Price testing platform for Shopify.",
    "categories": [
      "eCommerce",
      "Non Platform",
      "Shopify App",
      "Conversion Rate Optimization",
      "Hosted Solution",
      "SMB Solution",
      "eCommerce Marketing",
      "Merchandising Platform",
      "Pre-Purchase Solutions"
    ],
    "total_live": 13,
    "american_live_sites": 10,
    "live_and_expired": 154,
    "expired": 141,
    "actor_id": "1HTY4SdsH74meN2aB",
    "run_id": "eRiJRthUVYZ7WgK4U"
  }
]

Use Cases

• Market Research and Analysis: Gain insights into market trends and competitor technologies.
• Competitive Intelligence: Understand the technological stack of competitors.
• Price Monitoring: Track pricing strategies across different platforms.
• Content Aggregation: Collect data for content creation and analysis.
• Academic Research: Support studies in technology adoption and digital marketing.
• Business Automation: Integrate with business processes for automated insights.

Installation and Usage

1. Search for "Builtwith Discovery Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array where each object represents a platform with fields such as name, detail_url, description, categories, total_live, live_and_expired, expired, actor_id, and run_id. This structured data format allows for easy integration into various applications.

Error Handling

The actor is designed to handle common errors gracefully. If an error occurs, it will be logged in the Apify console with details on how to resolve it. Users are encouraged to check the log for any issues during execution.

Rate Limiting and Best Practices

• Rate Limiting: Ensure compliance with BuiltWith's terms of service by adhering to rate limits.
• Best Practices: Use appropriate item limits to optimize performance and avoid unnecessary data retrieval.

Limitations and Considerations

• The actor relies on the availability and structure of BuiltWith's discovery platform, which may change over time.
• Users should verify that their use case complies with BuiltWith's terms of service.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: Contact Us

We're here to help you get the most out of this Actor!