Gaffa

About Gaffa

Gaffa is a powerful API designed to simplify the process of web data extraction and browser automation. It is tailored for businesses, developers, and researchers who need reliable access to web data at scale without the complexities typically associated with scraping. Gaffa abstracts away the technical challenges of web scraping, such as managing residential proxies, scaling infrastructure, handling failures, and parsing data. This allows users to focus on their core business objectives rather than on maintaining scraping pipelines. With Gaffa, you can easily perform various actions like scrolling, clicking, and data extraction in a manner that mimics natural human browsing behavior. The platform is particularly beneficial for those grappling with difficult-to-scrape websites, offering features like stealth mode, which uses real browsers and solves CAPTCHAs, ensuring that users can obtain the necessary data with minimal friction.

Features of Gaffa

Simple REST API for Browser Automation

Gaffa provides a straightforward REST API that allows users to automate real browsers without the need for complex frameworks. This means you can execute browser automation tasks with a single API call, eliminating the need for knowledge of tools like Playwright, Selenium, or Puppeteer.

Ready to Scale

Gaffa is designed to handle projects of any size. Users do not need to worry about the complexities of scaling their web automation tasks. The platform ensures that it can manage high volumes of requests efficiently, allowing businesses to grow without the technical headaches.

Real Browsers with JavaScript Rendering

Unlike many scraping tools that rely on headless browsers, Gaffa utilizes real browsers that render JavaScript by default. This approach guarantees that the data extracted is as accurate as what a human user would see, thus reducing issues related to browser quirks.

Comprehensive Data Processing

Gaffa goes beyond simple web page retrieval. The API can process page data into various formats, including simplified HTML, LLM-ready markdown, or even self-contained offline versions of web pages, providing users with flexible options for data usage.

Use Cases of Gaffa

Market Research

Businesses can leverage Gaffa to conduct market research by scraping competitor websites, gathering product information, pricing, and customer reviews efficiently. This data can inform strategic decisions and market positioning.

Content Aggregation

For content creators and marketers, Gaffa can automate the process of gathering articles, images, and other media from various websites. This streamlines the workflow of collecting relevant content for blogs, newsletters, or social media.

Data Analysis

Data analysts can use Gaffa to collect datasets from multiple sources, allowing for comprehensive analysis and insights. By automating the data extraction process, analysts can focus more on interpreting data rather than on the extraction process itself.

Academic Research

Researchers can utilize Gaffa to extract relevant information from academic journals, databases, and other online resources. This capability greatly enhances the efficiency of literature reviews and data collection for studies.

Frequently Asked Questions

What is a credit worth?

Credits are used to measure browser requests, with billing based on request length and proxy bandwidth usage. Requests are charged at 1 credit per 30 seconds of runtime, and if screen recording is enabled, it costs 2 credits per 30 seconds.

Does this app offer a free trial period?

Yes, Gaffa offers a free trial that allows users to explore its features by building automations on the demo site without needing a credit card. This trial gives users a risk-free opportunity to test the API’s capabilities.

What's the refund policy?

Gaffa provides a refund policy that allows users to request a refund before utilizing any credits in the current billing cycle. Users are encouraged to read the detailed refund policy for more information.

Do credits rollover?

No, any unused credits will not roll over to the next billing cycle. Users should be mindful of their credit usage as they approach the end of their billing period.