Brief

🎯 Core Function: Locate Multiple E-commerce Suppliers and Filter Data via Telegram

This workflow is a powerful sourcing tool that allows users to quickly find various suppliers and price points for a specific product. It uses BrowserAct to execute deep searches across major e-commerce sections, extracting initial data and then diving into product pages for alternative suppliers. The retrieved information is then cleaned, refined, and filtered by Gemini AI before being presented to the user via Telegram.

Part 1: BrowserAct Workflow Description

This core module handles the multi-step search and comprehensive supplier data extraction:

Product Link/Keyword Input:

The Agent takes a Product Link or a Product Keyword as input.

Targeted E-commerce Search:

The Agent executes a web search for the product.

It immediately navigates to the dedicated Shopping/E-commerce section (e.g., Google Shopping, Amazon results) to ensure the focus is on retailers and suppliers.

Initial Data Extraction:

The Agent extracts overall data from the search results page, capturing initial supplier names, prices, and links.

Deep Supplier Discovery:

To find even more options (often found on a product's dedicated page), the Agent clicks on the first result.

On the product page, it specifically looks for and extracts additional suppliers or price comparisons usually located in a dedicated sidebar section.

Data Consolidation: All extracted supplier information (names, prices, links, etc.) is bundled and sent to the Make.com scenario.

Part 2: Automation Integration with Make.com

The Make.com scenario manages the user interaction, intelligent data cleaning, and final delivery:

User Input Validation (AI):

The workflow starts by receiving a user's request (via Telegram or another trigger).

An initial AI node validates the user's input, ensuring it's a legitimate product query and potentially generating a clean search keyword for the BrowserAct module.

Scraping Execution:

If the input is valid, the refined keyword is sent to the BrowserAct node to execute the multi-step supplier extraction.

AI Data Refinement (Gemini):

The raw, often noisy, data extracted by BrowserAct is sent to a Gemini AI node.

Acting as a Data Quality Filter, the AI's task is to:

Remove Irrelevant Data: Filter out non-supplier results, redundant entries, or clearly junk data.

Standardize Format: Clean up prices, currency symbols, and supplier names for consistent presentation.

Summarize: Format the clean results into a concise, readable message structure suitable for Telegram.

Final Delivery:

The refined and organized list of suppliers is sent back to the user via Telegram, providing a quick and actionable overview of sourcing options.

✨ Applicable Scenarios (Use Cases)

E-commerce Sourcing: Quickly compare prices and find alternative sellers for inventory restocking or drop-shipping.

Price Monitoring: Use the workflow to automatically check the availability and price fluctuations of a specific product across multiple retailers.

Retailer Research: Identify all major suppliers carrying a product to better understand market distribution and competitive landscapes.

Personal Shopping: Use the bot to find the best deal or most reliable seller for a high-value personal purchase.

35-50credits per task (estimated)