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ScrapeGraphAI project preview

ScrapeGraphAI

Python scraper library that uses LLMs and direct graph logic to extract website data.

LicenseApache-2.0
GitHub stars14.5k
Last commit1 weeks ago
Tags6 topics
Ai MlAi ScraperDag PipelinesLlm ExtractionPythonOllama
Overview

Why consider ScrapeGraphAI?

ScrapeGraphAI is an open-source web scraping Python library that uses LLMs (OpenAI, Ollama, Groq) and Direct Acyclic Graph (DAG) pipelines to automatically extract structured JSON data from any website without manual CSS selectors.

Guided learning

Learn ScrapeGraphAI by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of ScrapeGraphAI

ScrapeGraphAI adapts automatically to website layout changes, generating robust extraction pipelines purely from natural language prompts.

Quickstart

bash
1pip install scrapegraphai
python
1from scrapegraphai.graphs import SmartScraperGraph
2
3graph_config = {
4 "llm": {"model": "ollama/llama3", "temperature": 0},
5 "headless": True
6}
7smart_scraper_graph = SmartScraperGraph(
8 prompt="List all company news titles and dates",
9 source="https://example.com/news",
10 config=graph_config
11)
12result = smart_scraper_graph.run()
13print(result)

ScrapeGraphAI is licensed under the Apache License Version 2.0.

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ScrapeGraphAI FAQs

ScrapeGraphAI is listed as a Ai Ml tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

ScrapeGraphAI is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

ScrapeGraphAI is listed as an alternative to Apify. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.