Inicio rápido
This guide covers every ScrapeGraphAI feature:
- Empezando — 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
Tiempo necesario: 5 minutos por función
También en esta guía: Consejos profesionales | Errores comunes | Solución de problemas | Precios | Alternativas
¿Por qué confiar en esta guía?
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 datos 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 IA
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.
Getting Started with ScrapeGraphAI
Before any feature, finish this one-time setup process.
Vea primero este breve resumen:
Ahora vamos a repasar cada paso.
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.
✓ Control: 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 y import client to load the API key safely.
Así es como se ve el panel de control:
✓ Control: 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.
✅ Hecho: You can now use ScrapeGraphAI for any feature below.
How to Use ScrapeGraphAI Smart Scraper
Smart Scraper lets you pull structured data from any single page using a plain natural language prompt.
Aquí te explicamos cómo usarlo paso a paso.
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.
Así es como se ve:
✓ Control: 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.
✅ Resultado: You scraped one page into structured data in seconds.
💡 Consejo profesional: Write a detailed prompt with the exact JSON keys you want for sharper extraction.
How to Use ScrapeGraphAI Search Scraper
Search Scraper lets you gather web data straight from live search results without opening each link yourself.
Aquí te explicamos cómo usarlo paso a paso.
Paso 1: Introduzca su consulta
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.
Así es como se ve:
✓ Control: Your output matches the fields you asked for.
Step 3: Export the Output
Get meaningful data back as ready-to-use JSON.
✅ Resultado: You turned search results into usable web data.
💡 Consejo profesional: Narrow your query first so the results stay focused and clean.
How to Use ScrapeGraphAI Markdownify
Markdownify lets you transform web content into clean Markdown that AI models read without extra noise.
Aquí te explicamos cómo usarlo paso a paso.
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.
Así es como se ve:
✓ Control: Your output matches the fields you asked for.
Step 3: Reuse the Clean Data
Feed the clean data to your model or notes.
✅ Resultado: You converted a page into clean, model-ready texto.
💡 Consejo profesional: Markdown output works great as input for any AI powered summary.
How to Use ScrapeGraphAI Spidy Agent
Spidy Agent lets you crawl multiple pages as a multi page scraper for larger scraping projects.
Aquí te explicamos cómo usarlo paso a paso.
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.
Así es como se ve:
✓ Control: Your output matches the fields you asked for.
Step 3: Collect at Scale
Let this multi page scraper handle large scale scraping jobs.
✅ Resultado: You crawled multiple pages in a single run.
💡 Consejo profesional: Start with a few pages to test before any large scale scraping run.
How to Use ScrapeGraphAI Universal Data Extraction
Universal Data Extraction lets you handle many data extraction tasks across product data, news articles, and more.
Aquí te explicamos cómo usarlo paso a paso.
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.
Así es como se ve:
✓ Control: Your output matches the fields you asked for.
Step 3: Pull the Data
Run the data extraction tasks and review the output.
✅ Resultado: You handled mixed data extraction tasks at once.
💡 Consejo profesional: Define a Pydantic schema to lock the structure of every record.
How to Use ScrapeGraphAI Easy Integrations
Integraciones sencillas lets you connect extracted data to your data science and machine learning models in minutes.
Aquí te explicamos cómo usarlo paso a paso.
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.
Así es como se ve:
✓ Control: Your output matches the fields you asked for.
Step 3: Feed Your Models
Hand the data to machine learning models and AI agents.
✅ Resultado: Your extracted data now flows into your stack.
💡 Consejo profesional: Connect it to Make.com or n8n to extend your data pipelines.
How to Use ScrapeGraphAI Smart Agentic Scraper
Smart Agentic Scraper lets you read dynamic content on JavaScript heavy sites that break traditional raspadores.
Aquí te explicamos cómo usarlo paso a paso.
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.
Así es como se ve:
✓ Control: Your output matches the fields you asked for.
Step 3: Get Stable Results
It adapts when websites change, unlike traditional scrapers.
✅ Resultado: You read a JavaScript heavy site cleanly.
💡 Consejo profesional: Pair it with rotating proxies on sites that block bots hard.
How to Use ScrapeGraphAI Job Scheduler
Job Programador lets you run scraping operations on a schedule so the data extraction repeats on its own.
Aquí te explicamos cómo usarlo paso a paso.
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.
Así es como se ve:
✓ Control: Your output matches the fields you asked for.
Step 3: Let It Run
The scraping process repeats and stores fresh data.
✅ Resultado: Your scraping data now refreshes on autopilot.
💡 Consejo profesional: Stagger jobs so you never trigger too many requests at once.
How to Use ScrapeGraphAI Simple Interface
Interfaz sencilla lets you use ScrapeGraphAI effectively from a no-code dashboard without deep technical expertise.
Aquí te explicamos cómo usarlo paso a paso.
Paso 1: Abra el panel de control
Use the AI powered dashboard, no code needed.
Step 2: Build Without Code
Run jobs without deep technical expertise.
Así es como se ve:
✓ Control: Your output matches the fields you asked for.
Step 3: Manage Everything
Track every scrape and use ScrapeGraphAI effectively from one screen.
✅ Resultado: You ran a full scrape with zero code.
💡 Consejo profesional: Bookmark saved jobs to reuse them across scraping projects.
ScrapeGraphAI Pro Tips and Shortcuts
After six months of scraping projects, here are my best tips.
Quick Setup Shortcuts
| Goal | Atajo |
|---|---|
| Debug a run | Verbose mode that enables detailed logging |
| Save output | Export to JSON file or CSV files |
| Avoid blocks | Add rotating proxies |
| Lock structure | Pydantic schema |
Características ocultas que la mayoría de la gente pasa por alto
- 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
❌ Incorrecto: Scraping without checking website terms or legal considerations first.
✅ Derecha: Read the site policy and respect website terms before any scraping data run.
Mistake: Hammering the server
❌ Incorrecto: Firing requests so fast the site returns too many requests errors.
✅ Derecha: Add delays between requests so you stay under api rate limits.
Mistake: Vague prompts
❌ Incorrecto: Writing loose natural language prompts that return messy data.
✅ Derecha: Give exact fields and a schema so you get clean data every time.
ScrapeGraphAI Troubleshooting
Problem: Too many requests error
Causa: You hit the api rate limits by sending requests too quickly.
Arreglar: Space out calls and add a delay; upgrade your plan for higher limits.
Problem: Blank or partial results
Causa: The target is a JavaScript heavy site, so dynamic content loaded late.
Arreglar: Switch to the Smart Agentic Scraper, which renders the page before reading it.
Problem: Getting blocked or IP blocks
Causa: The site flags scraping operations and serves a block page.
Arreglar: Add rotating proxies so each request looks like a fresh visitor.
📌 Nota: These cover the most common challenges; for the rest, contact ScrapeGraphAI support.
¿Qué es 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.
Piénsalo como una idea inteligente asistente that reads web pages and returns clean json data.
Mira este breve resumen:
Incluye estas características clave:
- 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
- Integraciones fáciles: 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
- Programador de trabajos: run scraping operations on a schedule so the data extraction repeats on its own
- Interfaz sencilla: 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.
Para una revisión completa, consulte nuestra ScrapeGraphAI review.
Precios de ScrapeGraphAI
Here is what ScrapeGraphAI costs in 2026:
| Plan | Precio | Mejor para |
|---|---|---|
| Gratis | $0 | Testing on a few pages |
| Motor de arranque | $17/mes | Solo data extraction tasks |
| Crecimiento | $85/mes | Regular scraping projects |
| Pro | $425/mes | Large scale scraping |
| Empresa | Costumbre | Equipos de alto volumen |
Prueba gratuita: Yes — the Free plan lets you test scraping data at no cost.
Garantía de devolución de dinero: Cancel anytime from your dashboard.
💰 Mejor relación calidad-precio: Growth — enough volume for steady scraping projects without overpaying.
ScrapeGraphAI frente a alternativas
How does ScrapeGraphAI compare? Here is the landscape:
| Herramienta | Mejor para | Precio | Clasificación |
|---|---|---|---|
| ScrapeGraphAI | AI-native extraction | $17/mes | ⭐ 4.5 |
| Scrapy | Code-first crawling | Gratis | ⭐ 4.4 |
| Explorar IA | No-code monitoring | $48/mes | ⭐ 4.3 |
| Datos brillantes | Proxy network | $0.50/mo | ⭐ 4.5 |
| Octoparse | Visual scraping | $99/mes | ⭐ 4.3 |
| Abeja raspadora | Render-heavy sites | $49/mes | ⭐ 4.4 |
Selecciones rápidas:
- Mejor en general: ScrapeGraphAI — natural language extraction beats rigid selectors.
- Mejor presupuesto: Scrapy — free if you can write the code yourself.
- Ideal para principiantes: Browse AI — point and click, no scripts.
- Best for proxies: Bright Data — huge rotating proxy pool.
🎯 Alternativas a ScrapeGraphAI
¿Buscas alternativas a ScrapeGraphAI? Aquí tienes las mejores opciones:
- 🚀 Scrapy: Open-source Python framework for developers who want full control over every crawl.
- 👶 Explorar la IA: No-code tool that records your clicks and turns any site into an API.
- 🏢 Datos brillantes: Enterprise proxy network with massive rotating IPs for large scale scraping.
- 🎨 Octoparse: Visual point-and-click scraper aimed at non-coders building scraping projects.
- 🔧 Abeja raspadora: API that renders JavaScript heavy sites so you skip your own browser setup.
Para ver la lista completa, consulte nuestra Alternativas a ScrapeGraphAI guía.
⚔️ Comparación de ScrapeGraphAI
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:
Siguiente paso: Elige una función y pruébala ahora.
Most people start with the Smart Scraper single page scraper.
It takes less than five minutes to extract data from your first page.
Preguntas frecuentes
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.
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