Gaffa

Gaffa is a cutting-edge API that addresses the complexities of web data extraction and browser automation at scale. It simplifies the daunting task of building and maintaining a scraping infrastructure into a seamless, dependable service. With just a single REST API endpoint, Gaffa manages the intricate backend elements, including residential proxy management, infrastructure scaling, error handling, and data parsing. This allows developers, data scientists, and businesses to concentrate on their main objectives instead of troubleshooting broken data pipelines. Gaffa caters to a diverse audience, from startups gathering market insights to large enterprises tracking competitors and aggregating web content. Its primary value proposition lies in delivering human-like browser interactions even with the toughest websites to scrape, ensuring users obtain the data they need with minimal technical hassle and optimal reliability.

Simple REST API

Gaffa provides a straightforward REST API for browser automation, enabling users to control real browsers at scale with a single API call. This eliminates the need to deal with frameworks, proxies, or scaling complexities, allowing for quick and easy browser interactions.

Automate Real Browsers in Minutes

With Gaffa, users can set up automation for various tasks like scraping, printing web pages, taking screenshots, or converting content into LLM-ready markdown in just a few minutes. This feature allows for rapid deployment and efficient task execution.

Ready to Scale

Gaffa is built to handle any level of demand, relieving users of the burden of scaling web data projects. Its infrastructure is designed to adapt seamlessly to increasing workloads, ensuring consistent performance regardless of the volume of requests.

Real Browser Experience

By default, Gaffa offers JavaScript rendering without the quirks associated with headless browsers. This ensures that all automation behaves exactly like a human user interacting with a browser, providing a more accurate and reliable data extraction experience.

Market Research for Startups

Startups can leverage Gaffa to conduct comprehensive market research by scraping relevant data from competitor websites, social media platforms, and industry news sites. This data-driven approach helps in making informed business decisions and identifying market trends.

Content Aggregation for Enterprises

Large enterprises can utilize Gaffa for content aggregation, effortlessly pulling data from multiple sources to create cohesive reports or dashboards. This capability enhances the ability to monitor market changes and competitor strategies in real time.

E-commerce Price Monitoring

E-commerce businesses can implement Gaffa to track product prices across various platforms. This allows for dynamic pricing strategies and ensures competitiveness in the market by adjusting prices based on real-time data.

Academic Research and Data Collection

Researchers can use Gaffa to automate the collection of online data for various studies. The API simplifies the process of gathering large amounts of information from academic journals, databases, and other online resources, streamlining the research process.

What is a credit worth?

Browser requests are charged in credits based on the request length and proxy bandwidth usage. A request is billed at 1 credit per 30 seconds of runtime, and if screen recording is enabled, it doubles to 2 credits per 30 seconds. Proxy bandwidth usage is charged at 1500 credits per 1GB used.

Does this app offer a free trial period?

Yes, Gaffa provides a free trial that allows users to explore all key features and capabilities on the demo site. This enables potential users to build automations and test the API without any financial commitment.

What's the refund policy?

Gaffa offers a refund policy where users can request a refund before utilizing any credits within the current month. This policy ensures that users can try out the service risk-free.

Do credits rollover?

No, unused credits do not rollover. Any credits that are not used within the billing period will expire, encouraging users to make the most of their allocated resources each month.