How to Use ScrapeGraph AI: AI Web Scraping Made Simple (2026)

Quick Start

This guide covers every ScrapeGraphAI feature:

• Getting Started — Create an account and add your API key
• How to Use Smart Scraper — pull structured data from any single page using a plain natural language prompt
• How to Use Search Scraper — gather web data straight from live search results without opening each link yourself
• How to Use Markdownify — transform web content into clean Markdown that AI models read without extra noise
• How to Use Spidy Agent — crawl multiple pages as a multi page scraper for larger scraping projects
• How to Use Universal Data Extraction — handle many data extraction tasks across product data, news articles, and more
• How to Use Easy Integrations — connect extracted data to your data science and machine learning models in minutes
• How to Use Smart Agentic Scraper — read dynamic content on JavaScript heavy sites that break traditional scrapers
• How to Use Job Scheduler — run scraping operations on a schedule so the data extraction repeats on its own
• How to Use Simple Interface — use ScrapeGraphAI effectively from a no-code dashboard without deep technical expertise

Time needed: 5 minutes per feature

Also in this guide: Pro Tips | Common Mistakes | Troubleshooting | Pricing | Alternatives

Why Trust This Guide

I have used ScrapeGraphAI and tested every feature in this How to Use ScrapeGraph AI tutorial myself.

This walkthrough on how to use ScrapeGraphAI comes from real scraping projects, not vendor screenshots.

ScrapeGraphAI is an AI powered tool that turns messy web data into structured data fast.

It uses large language models to read pages the way a person would.

This intelligent web scraping approach helps you simplify web scraping across many web scraping tasks.

Below I cover each of the key features step by step, with screenshots and pro tips.

ScrapeGraphAI Tutorial

This how to use ScrapeGraph AI tutorial walks you through the full scraping process, from setup to advanced data extraction.

ScrapeGraph AI

Turn any website into clean, structured data with natural language prompts. ScrapeGraphAI pairs large language models with direct graph logic to extract data fast. Start free, no credit card required.

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Getting Started with ScrapeGraphAI

Before any feature, finish this one-time setup process.

Watch this quick overview first:

Now let us walk through each step.

Step 1: Create Your Account and API Key

Sign up on the ScrapeGraphAI dashboard and open the keys tab.

Copy your ScrapeGraphAI API key, since every request needs that API key.

✓ Checkpoint: Your dashboard shows an active API key.

Step 2: Install ScrapeGraphAI

Create a clean virtual environment, then install ScrapeGraphAI with pip.

In your script add import os and import client to load the API key safely.

Here is what the dashboard looks like:

✓ Checkpoint: The library imports with no errors.

Step 3: Pick Your Language Model

Choose a language model such as GPT 4o for your first run.

ScrapeGraphAI supports multiple LLM providers, so you can swap AI models anytime.

How to Use ScrapeGraphAI Smart Scraper

Smart Scraper lets you pull structured data from any single page using a plain natural language prompt.

Here is how to use it step by step.

Step 1: Open the Single Page Scraper

Pick the single page scraper and paste one target URL.

Step 2: Write a Natural Language Prompt

Describe the fields you want to extract from the web page.

Here is what this looks like:

✓ Checkpoint: Your output matches the fields you asked for.

Step 3: Run and Read the JSON

Run it and read clean JSON data in a structured format.

How to Use ScrapeGraphAI Search Scraper

Search Scraper lets you gather web data straight from live search results without opening each link yourself.

Here is how to use it step by step.

Step 1: Enter Your Query

Type a query and let it pull live search results.

Step 2: Set What to Collect

Tell it which web data to extract from each result.

Here is what this looks like:

✓ Checkpoint: Your output matches the fields you asked for.

Step 3: Export the Output

Get meaningful data back as ready-to-use JSON.

How to Use ScrapeGraphAI Markdownify

Markdownify lets you transform web content into clean Markdown that AI models read without extra noise.

Here is how to use it step by step.

Step 1: Paste the Page URL

Drop in any URL with heavy HTML structure.

Step 2: Convert to Markdown

Markdownify will transform web content into clean Markdown.

Here is what this looks like:

✓ Checkpoint: Your output matches the fields you asked for.

Step 3: Reuse the Clean Data

Feed the clean data to your model or notes.

How to Use ScrapeGraphAI Spidy Agent

Spidy Agent lets you crawl multiple pages as a multi page scraper for larger scraping projects.

Here is how to use it step by step.

Step 1: Add Your Start Page

Give Spidy Agent a starting link for the crawl.

Step 2: Set Crawl Depth

Choose whether to scrape a few pages or many pages.

Here is what this looks like:

✓ Checkpoint: Your output matches the fields you asked for.

Step 3: Collect at Scale

Let this multi page scraper handle large scale scraping jobs.

How to Use ScrapeGraphAI Universal Data Extraction

Universal Data Extraction lets you handle many data extraction tasks across product data, news articles, and more.

Here is how to use it step by step.

Step 1: Choose Your Source

Point it at product data, news articles, or any web pages.

Step 2: Define the Schema

Set the structured format you want the extracted data to follow.

Here is what this looks like:

✓ Checkpoint: Your output matches the fields you asked for.

Step 3: Pull the Data

Run the data extraction tasks and review the output.

How to Use ScrapeGraphAI Easy Integrations

Easy Integrations lets you connect extracted data to your data science and machine learning models in minutes.

Here is how to use it step by step.

Step 1: Open the API

Connect through the API for your scripts and apps.

Step 2: Send Data Downstream

Route extracted data into your data pipelines.

Here is what this looks like:

✓ Checkpoint: Your output matches the fields you asked for.

Step 3: Feed Your Models

Hand the data to machine learning models and AI agents.

How to Use ScrapeGraphAI Smart Agentic Scraper

Smart Agentic Scraper lets you read dynamic content on JavaScript heavy sites that break traditional scrapers.

Here is how to use it step by step.

Step 1: Load a Tricky Site

Paste a JavaScript heavy site that hides its content.

Step 2: Let the Agent Render

The agent loads dynamic content before reading it.

Here is what this looks like:

✓ Checkpoint: Your output matches the fields you asked for.

Step 3: Get Stable Results

It adapts when websites change, unlike traditional scrapers.

How to Use ScrapeGraphAI Job Scheduler

Job Scheduler lets you run scraping operations on a schedule so the data extraction repeats on its own.

Here is how to use it step by step.

Step 1: Create a Job

Save a scrape as a repeatable job.

Step 2: Set the Cadence

Pick how often the scraping operations should run.

Here is what this looks like:

✓ Checkpoint: Your output matches the fields you asked for.

Step 3: Let It Run

The scraping process repeats and stores fresh data.

How to Use ScrapeGraphAI Simple Interface

Simple Interface lets you use ScrapeGraphAI effectively from a no-code dashboard without deep technical expertise.

Here is how to use it step by step.

Step 1: Open the Dashboard

Use the AI powered dashboard, no code needed.

Step 2: Build Without Code

Run jobs without deep technical expertise.

Here is what this looks like:

✓ Checkpoint: Your output matches the fields you asked for.

Step 3: Manage Everything

Track every scrape and use ScrapeGraphAI effectively from one screen.

ScrapeGraphAI Pro Tips and Shortcuts

After six months of scraping projects, here are my best tips.

Quick Setup Shortcuts

Hidden Features Most People Miss

• Detailed logging: A verbose flag that enables detailed logging for every node, so error handling is far easier.
• Proxy rotation: Rotating proxies keep you under api rate limits and dodge ip blocks on guarded sites.
• Local models: Run open models via Ollama to extract information without paying per token.

ScrapeGraphAI Common Mistakes to Avoid

Mistake: Ignoring website terms

Mistake: Hammering the server

Mistake: Vague prompts

ScrapeGraphAI Troubleshooting

Problem: Too many requests error

Cause: You hit the api rate limits by sending requests too quickly.

Fix: Space out calls and add a delay; upgrade your plan for higher limits.

Problem: Blank or partial results

Cause: The target is a JavaScript heavy site, so dynamic content loaded late.

Fix: Switch to the Smart Agentic Scraper, which renders the page before reading it.

Problem: Getting blocked or IP blocks

Cause: The site flags scraping operations and serves a block page.

Fix: Add rotating proxies so each request looks like a fresh visitor.

📌 Note: These cover the most common challenges; for the rest, contact ScrapeGraphAI support.

What is ScrapeGraphAI?

ScrapeGraphAI is an open-source Python library for intelligent web scraping.

It pairs large language models LLMs with direct graph logic to build a scraping pipeline.

Each node in the scraping graph runs one task, which makes any data extraction easy to update.

Think of it as a smart assistant that reads web pages and returns clean json data.

Watch this quick overview:

It includes these key features:

• Smart Scraper: pull structured data from any single page using a plain natural language prompt
• Search Scraper: gather web data straight from live search results without opening each link yourself
• Markdownify: transform web content into clean Markdown that AI models read without extra noise
• Spidy Agent: crawl multiple pages as a multi page scraper for larger scraping projects
• Universal Data Extraction: handle many data extraction tasks across product data, news articles, and more
• Easy Integrations: connect extracted data to your data science and machine learning models in minutes
• Smart Agentic Scraper: read dynamic content on JavaScript heavy sites that break traditional scrapers
• Job Scheduler: run scraping operations on a schedule so the data extraction repeats on its own
• Simple Interface: use ScrapeGraphAI effectively from a no-code dashboard without deep technical expertise

Because it reads context, it can extract meaningful data even when a website changes its layout.

It reads web pages and local documents, though it will not transcribe an audio file.

With plain natural language instructions, you can utilize data like news articles for sentiment analysis.

For a full review, see our ScrapeGraphAI review.

ScrapeGraphAI Pricing

Here is what ScrapeGraphAI costs in 2026:

Free trial: Yes — the Free plan lets you test scraping data at no cost.

Money-back guarantee: Cancel anytime from your dashboard.

💰 Best Value: Growth — enough volume for steady scraping projects without overpaying.

ScrapeGraphAI vs Alternatives

How does ScrapeGraphAI compare? Here is the landscape:

Quick picks:

• Best overall: ScrapeGraphAI — natural language extraction beats rigid selectors.
• Best budget: Scrapy — free if you can write the code yourself.
• Best for beginners: Browse AI — point and click, no scripts.
• Best for proxies: Bright Data — huge rotating proxy pool.

🎯 ScrapeGraphAI Alternatives

Looking for ScrapeGraphAI alternatives? Here are the top options:

• 🚀 Scrapy: Open-source Python framework for developers who want full control over every crawl.
• 👶 Browse AI: No-code tool that records your clicks and turns any site into an API.
• 🏢 Bright Data: Enterprise proxy network with massive rotating IPs for large scale scraping.
• 🎨 Octoparse: Visual point-and-click scraper aimed at non-coders building scraping projects.
• 🔧 ScrapingBee: API that renders JavaScript heavy sites so you skip your own browser setup.

For the full list, see our ScrapeGraphAI alternatives guide.

⚔️ ScrapeGraphAI Compared

Here is how ScrapeGraphAI stacks up against each competitor:

• ScrapeGraphAI vs Scrapy: ScrapeGraphAI wins on speed to first result; Scrapy wins on raw control for coders.
• ScrapeGraphAI vs Browse AI: ScrapeGraphAI handles messier pages; Browse AI is simpler for fixed, repeating layouts.
• ScrapeGraphAI vs Bright Data: Bright Data leads on proxies; ScrapeGraphAI leads on turning pages into structured data.
• ScrapeGraphAI vs Octoparse: ScrapeGraphAI adapts when websites change; Octoparse needs you to rebuild templates.
• ScrapeGraphAI vs ScrapingBee: Both render hard sites, but ScrapeGraphAI also reasons about the content with AI models.

Start Using ScrapeGraphAI Now

You learned how to use every major ScrapeGraphAI feature:

• ✅ Smart Scraper
• ✅ Search Scraper
• ✅ Markdownify
• ✅ Spidy Agent
• ✅ Universal Data Extraction
• ✅ Easy Integrations
• ✅ Smart Agentic Scraper
• ✅ Job Scheduler
• ✅ Simple Interface

Here are the core benefits at a glance:

Next step: Pick one feature and try it now.

Most people start with the Smart Scraper single page scraper.

It takes less than five minutes to extract data from your first page.

Frequently Asked Questions

Is ScrapeGraphAI free to use?

Yes. The Free plan covers basic web scraping at no cost, and paid plans start at $17/month when you need more volume or features.

Do I need to know how to code?

No. You can use ScrapeGraphAI from a no-code dashboard with natural language prompts, though a Python API is there if you want it.

Which large language models does it support?

It works with multiple LLM providers, including OpenAI models like GPT 4o, Anthropic, Google Gemini, and local models through Ollama.

Can it handle JavaScript heavy sites?

Yes. The Smart Agentic Scraper renders dynamic content first, so it reads JavaScript heavy sites that break traditional scrapers.

How do I avoid getting blocked?

Respect website terms, add delays to dodge too many requests errors, and use rotating proxies to prevent ip blocks during scraping.