2026 Developer Showdown

Extracto vs Scrapy

Building a modern AI pipeline? Stop writing brittle scraper code.

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The Ultimate Data Feed for LLMs

Extracto is an AI-native scraper, not just an HTML downloader. You do not need to parse DOM trees. Extracto semantically understands the page and natively exports directly to Markdown or structured JSON—creating the cleanest possible context window for downstream RAG applications and AI Agents.

Feature Matrix

Feature Extracto Scrapy
Extraction Paradigm Semantic AI (Zero Code) Event Loop Framework
Target Audience AI Pipelines / RAG / Agents Python Developers
CSS/XPath Selectors Never Required Mandatory
Export Formats LLM-Ready JSON & Markdown Standard CSV/HTML

The Code Difference

Scrapy (Brittle Locators)
import scrapy

class ProductSpider(scrapy.Spider):
    name = 'products'
    start_urls = ['https://example.com']

    def parse(self, response):
        for product in response.css('.product-card'):
            yield {
                'name': product.css('h2.title::text').get(),
                'price': product.css('span.price-tag::text').get(),
            }
# Breaks instantly if class='product-card' changes to class='p-card-v2'
Extracto (Semantic AI)
from extracto import CrawlerEngine
import asyncio

async def main():
    engine = CrawlerEngine()
    data = await engine.run(
        "https://example.com",
        "Extract the core products"
    )
    print(data.to_json())

asyncio.run(main())

Why Extracto beats Scrapy for AI Developers

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