Data Donkee

Data Donkee – AI-Powered Web Data Extraction at Scale

Data Donkee is an AI-powered web data extraction solution designed to be effortless, scalable, and code-free. Users describe their data needs in natural language and provide a JSON schema to define the exact output structure, enabling precise, structured data extraction from complex and dynamic websites without writing code.

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Key Value Propositions

• No coding required: Describe data requirements in plain language and let the AI build the extraction logic.
• JSON Schema Support: Define the exact output structure to ensure you receive data in the format you need.
• Consistency and reliability: The AI agent aims to deliver accurate extractions with minimal hallucination.
• Scalable and cost-effective: Scale across sites and large datasets with lower costs compared to traditional AI scraping tools.
• Dynamic site handling: Designed to navigate and extract data from modern, dynamic websites with changing structures.

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How It Works

1. Describe Your Data

• Use natural language to tell the agent what data you need and provide a JSON schema that defines the desired output.

1. Our AI Builds the Extraction

• The AI generates a custom, site-aware scraper based on your language description and schema.

1. Collect and Download

• Receive clean, structured data ready for analysis, with outputs matching your JSON schema.

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Example JSON Schema (Product Listing)

{
 "$schema": "http://json-schema.org/draft-07/schema#",
 "type": "object",
 "properties": {
 "total_products_results": {
 "type": "integer",
 "description": "The total number of products returned in the search results. Example: 250"
 },
 "country": {
 "type": "string",
 "description": "The full name of the country where the product is listed. Example: 'United Kingdom'"
 },
 "domain": {
 "type": "string",
 "description": "The domain from which the product data was retrieved, usually in URL format. Example: 'amazon.co.uk'"
 },
 "products": {
 "type": "array",
 "description": "An array of product objects, each containing details about an individual product listed in the search results.",
 "items": {
 "type": "object",
 "properties": {
 "asin": {
 "type": "string",
 "description": "Amazon Standard Identification Number (ASIN), a unique identifier for the product. Example: 'B08N5WRWNW'"
 },
 "product_title": {
 "type": "string",
 "description": "The title or name of the product as listed on the website. Example: 'Echo Dot (4th Generation) Smart Speaker with Alexa'"
 },
 "product_price": {
 "type": "number",
 "description": "The price of the product as a numeric value. Exclude currency symbols. Example: 49.99"
 },
 "currency": {
 "type": "string",
 "description": "The currency in which the product price is listed, represented by a three-letter ISO 4217 code. Example: 'GBP'"
 }
 },
 "required": ["asin", "product_title"],
 "description": "Details for an individual product, including its identifier, name, price, and currency."
 }
 }
 },
 "required": ["total_products_results", "country", "domain", "products"]
}

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Use Cases

• Market research and price monitoring across multiple retailers
• Competitive analysis with structured product data
• Catalog enrichment and inventory intelligence

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Safety & Best Practices

• Ensure compliance with terms of service of target sites.
• Use the output data responsibly and respect privacy and copyright considerations.

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Core Features

• No coding required: describe data needs in plain language and provide a JSON schema.
• AI-driven custom scraper generation tailored to your requirements.
• JSON Schema support to enforce exact output structure.
• Scalable extraction across many sites and large datasets.
• Consistent, structured data ready for analysis with minimal post-processing.
• Cost-efficient compared to traditional AI scraping tools.