Introduction
BrowseAct Workflow delivers AI-powered, zero-code web scraping with drag-and-drop nodes, natural language steps, smart error handling, and up to 90% lower costs than agent-based tools.
Major Launch: BrowseAct Workflow Now Available
Breaking away from traditional tools, BrowseAct Workflow offers a visual, no-code solution that lets anyone build scraping workflows using intuitive nodes and natural language. It removes the need for technical setup or exception handling. With smarter page recognition than RPA and more accurate extraction than AI agents, it delivers powerful results at up to 90% less cost than agent-based methods.
How to Begin with BrowseAct Workflow
To begin using the BrowseAct Workflow feature, start by logging into your account on the BrowseAct platform. Once logged in, navigate to the homepage and select the "Workflow" module to access its tools. To create a new workflow, click the "Create" button, enter a suitable name for your workflow (for example, "Amazon Data Scraping"), and then click "Create" again. This will take you directly into the visual editor, where you can start designing your workflow.
Full Guide to the Node Action Library
BrowseAct offers an extensive library of node actions, each equipped with natural language support. This allows you to concentrate on the core business logic without getting caught up in technical complexities.
Notice
Please note that all nodes—including input, click, pagination, and scroll—are restricted to interacting only with elements present on the current page.
Input Parameters
Input parameters are used to define variable values necessary for the execution of a workflow. These may include items such as search keywords, target URLs, or login credentials. The platform intelligently supports features like automatic recognition of parameter types and enables the reuse of parameters across different parts of the workflow. For example, you can configure an input field to accept a dynamic keyword, which can then be referenced by multiple nodes within the workflow.
Example Parameters
The SearchKeyword is set to “women swimwear”, and the TargetURL is defined as https://www.amazon.com/best-sellers/....
Visit Page
This action is designed to intelligently navigate to the specified web page and wait until it has fully loaded. For example, it will visit the URL defined in {{TargetURL}} and pause execution until the page is completely ready. You can also type “/” to quickly insert parameter values.
The system is equipped with smart features that automatically manage regional selection prompts and handle cookie consent popups without additional configuration.
In the event of a page loading failure, the workflow will automatically attempt to reload the page. Additionally, it includes built-in verification to ensure the page has loaded correctly, which is considered a best practice for maintaining workflow reliability.
Input Text
This action is designed to intelligently enter text into input fields on a web page. For instance, it can input the value of the SearchKeyword into a designated search box. Users can also type “/” to select and insert parameter values directly.
The system smartly detects the correct input fields and clears any pre-existing text before entering new content. This function is particularly useful for tasks such as submitting search queries, filling out forms, or setting filter conditions.
To enhance realism and reduce bot detection, the input process is designed to mimic natural human typing speed.
Clicking Page Elements
This action allows the system to intelligently locate and click on specific elements within a webpage. For example, it can execute a search by clicking an orange search button or pressing a search icon, using natural language instructions like “Click the orange search button to submit the search.”
The underlying recognition system is capable of automatically identifying elements based on their color, displayed text, and on-page position. If a targeted element is not immediately visible, the system applies intelligent handling to address such exceptions. To further ensure reliability, it also includes fault-tolerant logic that supports multiple fallback methods for locating elements when the primary approach fails.
Smart Page Scrolling for Dynamic Content Loading
This action enables intelligent page scrolling to support data loading and extend the visible area that the AI can interpret. One of its primary functions is to trigger the loading of additional content, such as lazy-loaded elements or infinite scrolling sections. By expanding the visible portion of the page, it also ensures that hidden elements are brought into view, allowing the AI to recognize and interact with them effectively.
Natural language commands can be used, such as “Scroll to load more products until 15+ items are visible” or “Scroll down to the bottom section of the product grid.” The system automatically monitors page loading status and detects changes in the viewport to control the scroll behavior precisely. This feature is especially important for AI-driven workflows, as the AI’s understanding of the page depends on what is currently visible on screen. Typical use cases include navigating through scrollable product lists, accessing lazy-loaded content, or ensuring that specific target elements are scrolled into view.
Pagination Control for Page Navigation
This action allows the workflow to navigate across multiple pages by clicking pagination buttons such as “Next” or “Previous.” It automatically detects pagination elements and available page options. Built-in boundary recognition ensures scrolling stops when no more pages are available, preventing infinite loops. Note that this node handles navigation only and should be paired with “Extract Data” nodes for collecting content.
Structured Data Extraction from Web Pages
This node serves as the core function for extracting structured data across entire webpages. It supports full-page coverage, capturing information even beyond the visible area, but can only extract content that has already been loaded into the DOM. Therefore, actions like “Scroll Page” should be used beforehand to ensure all relevant content is available.
Within each product card, fields such as the full product name—including brand and description—and the brand itself can be extracted. The node can be configured to collect only relevant items, such as women’s swimwear (bikinis, one-pieces, bathing suits), while skipping unrelated products like goggles, towels, or cover-ups.
Additional features include smart data recognition, automatic filtering of irrelevant items, format conversion (e.g., relative to absolute time), and built-in validation to ensure the extracted data is both accurate and complete.
Loop Execution for Repetitive Workflow Tasks
This node repeatedly runs a defined sub-workflow by executing all nodes placed within the loop container for each iteration. It supports loop control through a maximum iteration limit—such as scraping up to 3 pages—or stopping once a set number of qualifying products (e.g., /product_limit) is reached. If the current page contains fewer results than needed, the loop continues.
The system intelligently adjusts the loop strategy based on real-time page content and conditions, while also optimizing performance by preventing unnecessary iterations and improving overall efficiency.
Export Results
This step outputs cleaned, deduplicated, and sorted data in formats like CSV or JSON. Filenames use timestamp rules, and data is verified for integrity before export.
Run a Test
Once your workflow is complete, click Publish to finalize and activate it.
To begin data scraping, click Run, then click Start to execute the workflow.
Key Advantages of BrowseAct Workflow
BrowseAct enables natural language-driven automation, removing the need for complex setup and making workflows easy to manage. Its built-in fault tolerance handles errors smoothly with smart fallbacks. Compared to agents and RPA, it offers up to 90% cost savings and requires little to no maintenance. Powered by AI, it ensures accurate data extraction and adapts automatically to page changes.
Get Started in Minutes
To build your first workflow, start with a blank canvas and configure parameters as needed—or skip them for more flexible data targeting. Add nodes by clicking the plus icon, then describe each action using simple natural language. Once ready, click the run button to begin scraping, and your results will be automatically exported as structured data files.
Start Your Zero-Code Scraping Journey
With BrowseAct Workflow, data projects that once took weeks can now be completed in just hours—without the need for a development team. Built on the power of the BrowseAct AI engine, the platform enables business users to create and modify workflows with ease, even as requirements change. Delivering over 95% accuracy, it offers a faster, more reliable, and highly cost-effective solution for web data extraction. Start today and experience the future of no-code scraping.
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