LlamaIndex Tool - Scrapegraph

This tool integrates Scrapegraph with LlamaIndex, providing intelligent web scraping capabilities with structured data extraction.

Installation

pip install llama-index-tools-scrapegraph

Usage

First, import and initialize the ScrapegraphToolSpec:

from llama_index.tools.scrapegraph import ScrapegraphToolSpec

scrapegraph_tool = ScrapegraphToolSpec()

Available Functions

The tool provides the following capabilities:

1. Smart Scraper

from pydantic import BaseModel


# Define your schema (optional)
class ProductSchema(BaseModel):
    name: str
    price: float
    description: str


schema = [ProductSchema]

# Perform the scraping
result = scrapegraph_tool.scrapegraph_smartscraper(
    prompt="Extract product information",
    url="https://example.com/product",
    api_key="your-api-key",
    schema=schema,  # Optional
)

2. Markdownify

Convert webpage content to markdown format:

markdown_content = scrapegraph_tool.scrapegraph_markdownify(
    url="https://example.com", api_key="your-api-key"
)

3. Local Scrape

Extract structured data from raw text:

text = """
Your raw text content here...
"""

structured_data = scrapegraph_tool.scrapegraph_local_scrape(
    text=text, api_key="your-api-key"
)

Requirements

• Python 3.8+
• scrapegraph-py package
• Valid Scrapegraph API key