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Overview

Our platform supports the following AI scrapers:

  • ChatGPT Scraper
  • Perplexity Scraper
  • Copilot Scraper

Each scraper is designed to handle user prompts and return enriched responses, with varying levels of detail and supporting data.

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How AI Scraping Differs from Traditional SERP Scraping

AI bot scraping offers a smarter, more efficient alternative to traditional SERP (Search Engine Results Page) scraping. While SERP scraping involves extracting raw HTML from search engine result pages—often requiring complex parsing and frequent maintenance—AI bot scraping uses natural language models to understand the intent behind a query and return structured, context-rich answers. Key advantages of AI bot scraping over SERP scraping:

  • ✅ Understands query context and delivers direct answers
  • ✅ Includes citations, sources, and enriched content (e.g., maps, product links)
  • ✅ More resilient to UI changes and search engine updates
  • ✅ Easier to integrate via official APIs
  • ✅ Provides a better user experience with cleaner, more relevant results

In contrast, SERP scraping is limited to surface-level data, often lacks context, and may violate search engine terms of service. AI bot scraping is the modern, scalable solution for intelligent data extraction.

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1. ChatGPT Scraper

The ChatGPT Scraper interfaces with OpenAI’s ChatGPT model to generate detailed responses to user queries. It is optimized for conversational answers and supports a wide range of content types.

Features:

  • Accepts a natural language prompt
  • Returns a comprehensive answer

Includes:

  • Hyperlinks to referenced content
  • Citations (when available)
  • Product recommendations
  • Embedded map data (e.g., locations, directions)

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2. Perplexity Scraper

The Perplexity Scraper uses the Perplexity AI engine to return concise and well-sourced answers. It is particularly useful for research and fact-based queries.

Features:

  • Accepts a natural language prompt
  • Returns a direct answer

Includes:

  • List of sources used to generate the response
  • Hyperlinked citations for verification

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3. Copilot Scraper

The Copilot Scraper leverages Microsoft’s Copilot AI (based on OpenAI’s models) to provide contextual answers with source references. It is ideal for productivity, technical, and business-related queries.

Features:

  • Accepts a natural language prompt
  • Returns a detailed answer

Includes:

  • Referenced sources
  • Hyperlinked citations
  • Contextual explanations

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4. Gemini Scraper

The Gemini Scraper integrates with Google’s Gemini AI (formerly Bard) to process natural language prompts and return informative, conversational responses. Depending on the prompt, Gemini may choose to search the web and include citations or sources in its answer.

Features

  • Accepts a natural language prompt
  • Returns a detailed, conversational answer

May include:

  • Web-based citations and sources (if Gemini chooses to search the web)
  • Hyperlinked references (when available)

The decision to search the web is controlled internally by Gemini and cannot currently be forced or disabled via the scraper. Prompt phrasing may influence whether web search is triggered.