Scrapegraph-ai vs ScraperAPI Detailed comparison features, price

Scrapegraph-ai

Scrapegraph-ai is an open-source library designed for AI-driven web scraping. It enables users to scrape thousands of web pages rapidly by simply activating their API keys. The library aims to streamline the scraping process, requiring only a few lines of code for implementation.

By leveraging AI, Scrapegraph-ai handles the complexities of web scraping, allowing users to focus on their project goals rather than the intricacies of scraping logic. This approach significantly reduces the time and effort typically associated with setting up and maintaining web scraping tasks.

ScraperAPI

ScraperAPI is a comprehensive web scraping solution designed to automate the extraction of public website data at any scale. With a simple API call, users gain access to structured JSON data from popular sources, powered by advanced AI handling for proxy rotation, CAPTCHA resolution, and browser emulation. The platform supports asynchronous requests, geotargeting, and automation of entire data pipelines, making it ideal for enterprises and teams requiring robust, scalable, and consistent data collection.

This service eliminates the need for manual proxy management or complex script maintenance, ensuring high data quality and minimal interruption from anti-bot technologies. ScraperAPI delivers LLM-ready, structured data, significantly reducing the technical burden for development teams and enabling rapid integration with AI and ML workflows, market research, e-commerce monitoring, SEO tracking, and business intelligence initiatives.

Pricing

Scrapegraph-ai Pricing

Free

Scrapegraph-ai offers Free pricing .

ScraperAPI Pricing

Paid

From $49

ScraperAPI offers Paid pricing with plans starting from $49 per month .

Features

Scrapegraph-ai

AI-Powered Scraping: Utilizes artificial intelligence to handle web scraping tasks automatically.
Easy Implementation: Requires only a few lines of code to set up and run.
Speed and Efficiency: Capable of scraping thousands of web pages in seconds.
Open-Source: Freely available library for community use and contribution.

ScraperAPI

LLM-Ready Data: Convert websites into structured JSON suitable for AI training and analysis.
AI-Powered Scraping: Automated proxy rotation, CAPTCHA solving, and browser handling.
Asynchronous Requests: Handle millions of data collection requests simultaneously without sacrificing speed.
Geotargeting: Access proxies from over 40 million IPs in 50+ countries for localized data.
Structured Data Endpoints: Direct access to specific domain data like Amazon, Google Search, Walmart, and more.
Low-Code/No-Code Data Pipeline: Automate scraping workflows without development overhead.
Concurrent Threads: Scale to hundreds of simultaneous scraping operations.
Premium Residential & Mobile IPs: Minimize blockages and increase data access success rates.

Use Cases

Scrapegraph-ai Use Cases

Automating data collection from websites.
Extracting specific information from multiple web pages quickly.
Building datasets for machine learning or analysis.
Monitoring website changes or content.

ScraperAPI Use Cases

Automated large-scale data collection for AI and machine learning training datasets.
Real-time e-commerce product and price monitoring across global marketplaces.
Market research and competitive analysis through public web data aggregation.
SEO performance and SERP tracking for agencies and digital marketers.
Continuous real estate listing data extraction for investment analysis.
Online reputation monitoring and brand protection.
Travel fare and listing aggregation for agencies and booking platforms.
Financial data extraction for portfolio optimization and investment research.