WebCrawler API vs ScraperAPI Detailed comparison features, price

WebCrawler API

Navigating the complexities of web crawling, such as managing internal links, rendering JavaScript, bypassing anti-bot measures, and handling large-scale storage and scaling, presents significant challenges for developers. WebCrawler API addresses these issues by offering a simplified solution. Users provide a website link, and the service handles the intricate crawling process, efficiently extracting content from every page.

This API delivers the scraped data in clean, usable formats like Markdown, Text, or HTML, specifically optimized for tasks such as training Large Language Model (LLM) AI models. Integration is straightforward, requiring only a few lines of code, with examples provided for popular languages like NodeJS, Python, PHP, and .NET. The service simplifies data acquisition, allowing developers to focus on utilizing the data rather than managing the complexities of crawling infrastructure.

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

WebCrawler API Pricing

Usage Based

WebCrawler API offers Usage Based pricing .

ScraperAPI Pricing

Paid

From $49

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

Features

WebCrawler API

Automated Web Crawling: Provide a URL to crawl entire websites automatically.
Multiple Output Formats: Delivers content in Markdown, Text, or HTML.
LLM Data Preparation: Optimized for collecting data to train AI models.
Handles Crawling Complexities: Manages JavaScript rendering, anti-bot measures (CAPTCHAs, IP blocks), link handling, and scaling.
Developer-Friendly API: Easy integration with code examples for various languages.
Included Proxy: Unlimited proxy usage included with the service.
Data Cleaning: Converts raw HTML into clean text or Markdown.

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

WebCrawler API Use Cases

Training Large Language Models (LLMs)
Data acquisition for AI development
Automated content extraction from websites
Market research data gathering
Competitor analysis
Building custom datasets

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.