Crawlkit vs Gaffa
Side-by-side comparison to help you choose the right AI tool.
Crawlkit
CrawlKit is an API-first web scraping platform that effortlessly extracts data, monitors changes, and captures screen...
Gaffa
Gaffa is a simple API that automates real browsers for easy web scraping and data extraction.
Feature Comparison
Crawlkit
One-Click Data Extraction
CrawlKit offers an incredibly simple API that allows you to extract data from any URL with just a single request. This feature eliminates the headaches associated with managing scraping infrastructure, enabling you to focus solely on data utilization.
Real-Time Change Monitoring
With CrawlKit, you can effortlessly track changes in prices, stock levels, or content updates across websites in real-time. This feature is particularly valuable for e-commerce businesses and market analysts who need to stay updated on market trends and competitive pricing.
Automated Screenshot Capture
In addition to data extraction, CrawlKit lets you capture full-page screenshots of any URL in either PNG or PDF format. This is especially useful for documenting web layouts, monitoring changes visually, or archiving web content for compliance purposes.
High Success Rate and Speed
CrawlKit boasts industry-leading success rates and lightning-fast response times, averaging under 500 milliseconds. This means you can rely on CrawlKit to deliver the data you need quickly and consistently, even when websites update their security measures.
Gaffa
Simple REST API
Gaffa eliminates the need to learn and maintain complex frameworks like Playwright or Selenium. You interact with powerful browser automation through a straightforward REST API. Send a single request to perform actions, extract data, or capture pages, and Gaffa handles the execution on its managed infrastructure. This dramatically reduces development time and lets you integrate web data capabilities directly into your applications with minimal setup.
Stealth Mode & Real Browsers
To tackle the hardest-to-scrape sites, Gaffa employs a stealth mode that uses real, fully-fledged browsers (not just headless ones). This ensures perfect JavaScript rendering and makes your automation appear human-like. Combined with automatic CAPTCHA solving and a global network of residential proxies, this feature maximizes success rates and minimizes blocks, giving you reliable access to the data you need with minimal stress.
Built-in Data Processing & Conversion
Gaffa does more than just fetch a page. It can intelligently process the content for you. Extract clean, simplified HTML or convert pages into LLM-ready markdown for easy ingestion into AI models. You can also request data as structured JSON or capture the page as an image or a self-contained offline file. This saves you the step of building and maintaining your own post-processing pipelines.
Full Observability & Managed Scaling
Every automation run is recorded, allowing you to visually replay sessions to see exactly what happened—a huge help for debugging. Furthermore, Gaffa is built for scale from the ground up. You don't need to worry about provisioning servers, managing proxy pools, or handling concurrent requests. Just define your task, and Gaffa's infrastructure scales to handle your volume, ensuring consistent performance.
Use Cases
Crawlkit
E-Commerce Price Tracking
For e-commerce businesses, CrawlKit can be used to monitor competitor pricing in real-time. By extracting price data regularly, companies can adjust their pricing strategies accordingly to stay competitive in the market.
Market Research and Competitor Analysis
CrawlKit serves as a critical tool for market researchers who need to gather data from various sources. By using its web search API, teams can programmatically extract structured data about competitors, trends, and consumer sentiment.
Content Aggregation and Analysis
Content marketers can leverage CrawlKit to scrape content from multiple sources for aggregation and analysis. This allows them to gain insights into industry trends, popular topics, and audience engagement strategies.
Academic Research and Data Collection
For academic researchers, CrawlKit simplifies the process of collecting data from online sources for studies. It can be used to extract relevant data sets from various websites, making it easier to conduct comprehensive research without the manual labor of traditional data collection methods.
Gaffa
Market Research & Price Monitoring
Continuously track competitor prices, product listings, and promotional offers across multiple e-commerce websites. Gaffa can automate the browsing, handle logins if needed, and extract structured data (like price, availability, specs) as JSON, enabling you to build dynamic pricing strategies and stay competitive in fast-moving markets.
Lead Generation & Data Enrichment
Automate the collection of business contact information, professional profiles, or company details from directories and social platforms like LinkedIn. By mimicking human search and navigation patterns, Gaffa can gather high-quality lead data at scale, which can then be fed directly into your CRM or marketing systems for enrichment.
Content Aggregation for AI & LLMs
Feed large language models with fresh, relevant web content. Use Gaffa to scrape news articles, blog posts, or forum discussions and have the content automatically converted into clean, LLM-ready markdown format. This is ideal for building knowledge bases, training custom models, or powering research tools that require up-to-date information from the web.
Automated Testing & Screenshot Capture
Perform visual regression testing by automating browsers to take screenshots of web applications at different stages or after deployments. Developers and QA teams can use Gaffa to ensure UI consistency. It's also perfect for creating automated reports that require capturing web pages as images or self-contained archives for record-keeping.