Verid vs. Gaffa

Verid is a developer-focused API that specializes in tracking changes on webpages through structured data rather than conventional screenshots. It notifies users only when specific fields, such as price or stock levels, undergo changes by activating a webhook according to user-defined conditions. This method prioritizes monitoring the state of data over visual comparisons, providing capabilities like structured data extraction, ongoing state tracking, field-specific comparison, and notifications based on certain criteria, all integrated into a single workflow. Each instance of monitoring is governed by a schedule created through a robust REST API that adheres to the OpenAPI 3.1 standard, enabling teams to oversee their configurations while Verid manages the backend processes. The entire operation consists of five key phases: fetching data, extracting relevant information, differentiating between changes, evaluating conditions, and delivering outcomes. Initially, Verid uses a static fetch approach but can effortlessly transition to employing a headless browser if needed, and in the event of difficulties, it can also utilize a residential proxy to improve access. This adaptability guarantees that users can successfully monitor any webpage, regardless of its complexity or structure, providing them with a versatile and efficient tool for webpage oversight. Such comprehensive capabilities make Verid an essential asset for developers seeking to optimize their monitoring processes.

Gaffa is an API for web scraping and browser automation that gives developers control over real, full browsers with a single request, no headless-browser setup, proxy management, or infrastructure scaling required. Pages render with full JavaScript support by default, matching exactly what a real user would see. The platform covers the full range of automation needs: scraping, AI-powered data extraction into structured JSON using custom schemas, full-page screenshots, PDF export, infinite-scroll scraping, automated form filling, and converting webpages into clean Markdown for AI and LLM workflows. Reliability is built in through a rotating residential proxy network and automatic CAPTCHA and anti-bot handling, so requests succeed even against protected sites. Pricing follows a transparent, credit-based model tied to browser execution time and bandwidth, making costs predictable as usage scales. Gaffa is aimed at AI engineers, data-driven teams, and developers who need dependable, large-scale web data without the overhead of running their own scraping infrastructure.