With Digi-Key’s electronic component marketplace—part of the world’s leading electronic parts distribution platform—booming, are you wasting countless hours manually collecting electronic component information such as product part numbers, specification parameters, real-time stock levels, unit prices, supplier details, minimum order quantities, lead times, and RoHS compliance statuses? Faced with Digi-Key’s massive repository of component content, spanning millions of electronic parts, paginated product listings and multi-dimensional technical specifications, efficiently acquiring structured component data to accurately source parts for electronic engineers or optimize procurement efficiency for manufacturing teams has become a common challenge for many electronic engineers, procurement specialists, R&D professionals, and electronic manufacturing enterprise teams. Say goodbye to tedious manual copy-and-paste and page-by-page recording of component details or technical parameters. BrowserAct will revolutionize the way you access Digi-Key’s electronic component data.

What is BrowserAct Data Scraper ?

BrowserAct is a powerful automated data extraction tool that lets you easily scrape required data from any web page without programming knowledge. It can efficiently capture key electronic component data from Digi-Key’s massive repository of product content, including component listings, specification details, inventory levels, and supplier information. What can it do for you?

• Digi-Key Electronic Component Scraping: Our Digi-Key crawler can intelligently identify and extract core component data from the platform. This includes product part numbers (e.g., “ATMEGA328P-PU,” “STM32F103C8T6”), specification parameters (e.g., voltage rating, pin count, operating temperature), real-time stock levels, unit prices, supplier details, minimum order quantities, lead times, and RoHS compliance statuses. It covers all critical information needed to track electronic component dynamics on Digi-Key.
• AI-Powered Field Suggestions: Using AI to intelligently identify the structure of Digi-Key pages, such as component listing pages, part detail pages, and supplier profile pages, it quickly suggests and extracts key fields like "part number, specification parameters, stock level, unit price, lead time". No manual positioning is needed, and structured data is generated directly to support efficient analysis.
• Ideal Users: Suitable for electronic engineers, procurement specialists, R&D professionals, and electronic manufacturing teams. It helps you obtain structured Digi-Key electronic component data to drive decisions—like optimizing parts sourcing plans and streamlining procurement processes—or meet practical needs, such as comparing supplier offerings, tracking inventory availability and ensuring compliance with industry standards.

Features and Workflow Capabilities

• Input Parameters for Effective Conecte Imóvel Scraping. Detailed explanation of required input parameters, presented in a table for clarity:

Step 1: Create Workflow and Set Input Parameters

• Click the "Workflow" button in the left sidebar, then "Create" to name your workflow (e.g., "Financial Data Automation").
• Define customizable inputs for flexibility:

Target_url
Product_Name

Step 2: Add Navigation and Search Actions 📍

• Click the "+" icon to add actions. Start with "Visit Page" and enter "Visit /url" to direct the workflow to the specified URL, such as https://www.digikey.co.uk/en/. BrowserAct's AI will automatically understand the page structure, powering your Forbes web scraper without hassle.

Step 3: Add "Extract Data" Action 📊

• Click "+" and select "Extract Data." In the description box, specify what to extract and set limits, such as:

• • add Title to "Name" , add price to "Price" , add in-Stock to "Quantity", extract Product Attributes data "as text" preserving the label-and-value structure

• The AI will interpret your request and precisely scrape Rightmove houses list—no CSS selectors, no XPath, no coding required. This makes BrowserAct a seamless job scraper for scraping jobs from the internet.

Step 4: Add Output, Publish, and Run 📈

• Click "+" and select "Finish: Output Data." Choose CSV as the output format and enable "Output as a file" for easy downloading.

• Click "Publish" to save and finalize your Forbes scraper.

• Navigate to the "Run" section. Adjust parameters if Forbes (or use defaults), then click "Start" to execute the scrape.

Step 5: Download the Results

• Before downloading, you can preview the scraped results to see if they meet your expectations.