AI/AIZENME
🕷️ AUTOMATION · Agents & IoT Level: Intermediate ⏱ 15 MIN Free & Open Source

Extract Structured JSON from Complex Websites Using Natural Language with ScrapeGraphAI

Stop writing brittle XPath and CSS selectors that break on every site redesign. Describe what fields you want in plain English or Chinese with ScrapeGraphAI to get validated JSON.

CORE TOOLS ScrapeGraphAI (Open Source), Playwright, DeepSeek / Ollama
BEST FOR Data analysts, market researchers, e-commerce ops, Python beginners
REQUIREMENTS Python 3.10+; LLM API key or local Ollama
✦ WHY THIS WORKFLOW

Writing custom XPath selectors for one-off research or frequently changing websites wastes hours. ScrapeGraphAI reads page structure semantically and returns schema-validated JSON.

✦ Interactive Workflow Animation Preview

Step-by-Step Action Checklist

0 / 4 Completed
READY-TO-USE PROMPT TEMPLATE
Open Official Tool / Repo ↗
Write a complete Python script using open-source `ScrapeGraphAI` (`SmartScraperGraph`) to extract structured data from [target page: e.g., competitor pricing page / vendor directory]:
1) Define a strict `Pydantic` `BaseModel` schema for the output items;
2) Configure the LLM backend and Playwright `headless` browser options;
3) Save the extracted JSON records into a clean CSV/Excel file.
Use Cases & Tags:
Competitor price & SKU monitoringDirectory & exhibition vendor extractionJob board skill & salary aggregationMulti-page search result scraping#scrapegraphai