5.0 out of 5 stars
(5 Ratings)
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.
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4.9 out of 5 stars
(8 Ratings)
Finance teams selling to large companies lose most of their DSO before collections begins. An invoice has to reach an accounts payable portal, clear validation and be accepted, and none of that shows on an aging report. Across the $2B+ Monk manages, 92% of enterprise invoices go that route.
Monk is an AI-native accounts receivable platform that runs the whole path from invoice to cash. It submits into more than 600 corporate AP portals with 87% filed autonomously, measures acceptance rather than only delivery, and routes rejections back with a reason instead of letting the balance quietly age.
For collections, Julia, the Monk agent for Intelligent Collections, responds to what each customer replied rather than working through a fixed sequence, and 90% of invoices clear without escalation. Cash application matches 80% of payments on its own, or 95% with rules your team sets.
Connects to QuickBooks, NetSuite and Dynamics 365 Business Central. SOC 2 Type II. Live in one to three days.
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R Markdown
R Markdown documents provide a comprehensive solution for achieving reproducibility in data analysis. This adaptable notebook interface allows for a smooth combination of descriptive text and code, resulting in visually appealing outputs. It accommodates multiple programming languages, including R, Python, and SQL, making it an invaluable resource for professionals in the data field. With R Markdown, users can create a wide array of static and dynamic output formats, such as HTML, PDF, MS Word, Beamer presentations, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, and scientific papers, among others. As a powerful authoring framework for data science, R Markdown enables the integration of writing and coding tasks into a single document. When used within the RStudio IDE, this document evolves into an interactive notebook environment specifically designed for R. Users can execute each code chunk by simply clicking a designated button, allowing RStudio to run the code and present the results directly in the document. This seamless integration not only boosts productivity but also simplifies the entire workflow for data analysis and reporting. Additionally, the collaborative features of R Markdown allow teams to work together efficiently, enhancing the overall quality of data-driven projects.
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blogdown
This brief guide introduces an R package named blogdown, which facilitates the creation of websites using R Markdown and Hugo. Those familiar with website development may question the benefits of R Markdown and how blogdown distinguishes itself from popular platforms such as WordPress. In contrast to many conventional options, blogdown produces a static website comprising only static files like HTML, CSS, JavaScript, and images, among others. This type of website can be hosted on nearly any web server, as outlined in Chapter 3. Unlike WordPress, which depends on server-side scripting such as PHP or databases, blogdown streamlines the process to a single folder containing static files. The website’s content is derived from R Markdown documents, although it's important to note that the use of R is not essential; standard Markdown documents can also be employed without including R code chunks. This method provides notable benefits, especially for websites centered around data analysis or R programming, making it an invaluable resource for both developers and data scientists. Consequently, blogdown not only simplifies the web development process but also enhances the potential for creating dynamic and informative online content, broadening the horizons for users interested in data-driven websites.
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