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What is Jaunt?

Jaunt is a specialized Java library designed for tasks such as web scraping, web automation, and JSON data querying. It includes a lightweight and speedy headless browser that enables Java applications to perform web scraping, manage form submissions, and interact with RESTful APIs seamlessly. This library supports the parsing of multiple formats, including HTML, XHTML, XML, and JSON, and offers features like HTTP header and cookie manipulation, proxy support, and customizable caching options. While Jaunt does not run JavaScript, those interested in automating browsers that support JavaScript can utilize Jauntium as an alternative. The library is distributed under the Apache License and has a monthly version that necessitates regular updates, prompting users to download the newest release upon expiration. It excels in extracting and parsing data from web pages, handling filled form submissions, and managing HTTP requests and responses effectively. Furthermore, users can access a wealth of tutorials and detailed documentation, making it easier for developers to learn and leverage the capabilities of Jaunt. Overall, Jaunt stands out as a practical and user-friendly option for anyone looking to enhance their web scraping and automation projects in Java.

What is Gaffa?

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.

Media

Media

Integrations Supported

HTML
JavaScript
Google Chrome
Internet Explorer
JSON
Java
Markdown
Mozilla Firefox
Playwright
Puppeteer
Safari
Selenium
XML

Integrations Supported

HTML
JavaScript
Google Chrome
Internet Explorer
JSON
Java
Markdown
Mozilla Firefox
Playwright
Puppeteer
Safari
Selenium
XML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$20 per 5000 credits
Gaffa uses a simple credit-based pricing model. Plans start at $20 for 5,000 credits, with no subscription lock-in. Credits cover both browser execution time (1 credit per 30 seconds of runtime) and residential proxy bandwidth (750 credits per GB). A typical browser session, combining short execution time with low proxy bandwidth costs, costs around 3 credits, so 5,000 credits covers roughly 1,600+ typical sessions. All new accounts also receive 500 free credits to get started, no credit card required.
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Jaunt

Company Website

jaunt-api.com

Company Facts

Organization Name

Gaffa.dev

Date Founded

2024

Company Location

United Kingdom

Company Website

gaffa.dev/

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