Multi-platform price finder: Scraping prices with Bright Data, Claude AI & Telegram
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
π¦ Multi-Platform Price Finder: Scraping Prices with Bright Data & Telegram
An intelligent n8n automation that fetches real-time product prices from marketplaces like Amazon, Wayfair, Lowe's, and more using Bright Data's dataset, and sends promotional messages via Telegram using AIβperfect for price tracking, deal alerts, and affiliate monetization.
π Overview
This automation tracks product prices across top e-commerce platforms using Bright Data and sends out alerts via Telegram based on the best available deals. The workflow is designed for affiliate marketers, resellers, and deal-hunting platforms who want real-time competitive pricing.
β¨ Key Features
- π Multi-Platform Scraping: Supports Amazon, Wayfair, Lowe's, and more
- β‘ Bright Data Integration: Access to structured product snapshots
- π’ AI-Powered Alerts: Generates Telegram-ready promo messages using AI
- π§ Lowest Price Logic: Filters and compares products across sources
- π Data Merge & Processing: Combines multiple sources into a single stream
- π Keyword-Driven Search: Searches using dynamic keywords from form input
- π¦ Scalable Design: Built for multiple platform processing simultaneously
- π§Ό Clean Output: Strips unnecessary formatting before publishing
π― What This Workflow Does
Input
- Search Keywords: User-defined keyword(s) from a form trigger
- Platform Sources: Wayfair, Lowe's, Amazon, etc.
- Bright Data API Key: Needed for authenticated scraping
Processing Steps
- User Input via n8n form trigger (keyword-based)
- Bright Data API Trigger for each marketplace
- Status Polling: Wait until scraping snapshot is
ready - Data Retrieval: Fetches JSON results from Bright Data snapshot
- Data Cleaning & Normalization: Price, title, and URL are extracted
- Merging Products from all platforms
- Find Lowest Price Product using custom JS logic
- AI Prompt Generation via Claude/Anthropic
- Telegram Formatting and alert message creation
Output
- ποΈ Product Title
- π° Final Price
- π Product URL
- βοΈ Promotional Message (for Telegram/notifications)
π Setup Instructions
Step 1: Import Workflow
- Open n8n > Workflows > + Add Workflow
- Import the provided JSON file
Step 2: Configure Bright Data
- Add credentials under Credentials β Bright Data API
- Set the appropriate
dataset_idfor each platform - Ensure dataset includes
title,price, andurlfields
Step 3: Enable Keyword Trigger
- Use the built-in
Form Triggernode - Input: Single keyword field (SearchHere)
Step 4: Telegram or AI Integration
- Modify prompt node for your language or tone
- Add Telegram webhook or integration where needed
π Usage Guide
Adding Keywords
- Trigger the form with a product keyword like
iPhone 15 - Wait for workflow to fetch best deals and generate Telegram message
Understanding AI-Powered Output
- AI creates a short, engaging message like: > "π₯ Deal Alert: Get the iPhone 15 for just βΉ74,999! Limited stockβCheck it out: [link]"
Debugging Output
- Output node shows cleaned JSON with
title,price,url, andmessage - If no valid results, debug message is returned with sample structure info
π§ Customization Options
Add More Marketplaces
- Clone any HTTP Request node (e.g., for Wayfair)
- Update
dataset_idand required output fields
Modify Price Logic
- Update the
Code1node to change comparison (e.g., highest price instead of lowest)
Change Message Format
- Edit the
AI Agentprompt to customize tone/language - Add emoji, CTAs, or markdown formatting as needed
π§ͺ Test & Activation
- Add a few sample keywords via form trigger
- Run manually or set as a webhook for external app input
- Check final AI-generated message in output node
π¨ Troubleshooting
| Issue | Solution |
|-------|----------|
| No Data Returned | Ensure keyword matches real products |
| Status Not 'Ready' | Bright Data delay; add Wait nodes |
| Invalid API Key | Check Bright Data credentials |
| AI Errors | Adjust prompt or validate input fields |
π Use Cases
- π° Affiliate Campaigns: Show best deals across platforms
- π Deal Pages: Post live offers with product links
- π§ Competitor Analysis: Track cross-platform pricing
- π Alert Bots: Send real-time alerts to Telegram or Slack
β Quick Setup Checklist
- [x] Bright Data API credentials configured
- [x] n8n form trigger enabled
- [x] Claude or AI model connected
- [x] All HTTP requests working
- [x] AI message formatting verified
π Example Output
{
"title": "Apple iPhone 15 Pro Max",
"price": 1199,
"url": "https://amazon.com/iphone-15",
"message": "π₯ Grab the Apple iPhone 15 Pro Max for just $1199! Limited dealβCheck it out: https://amazon.com/iphone-15"
}
π¬For any questions or support, please contact:
π§ <info@incrementors.com>
or fill out this form: https://www.incrementors.com/contact-us/
# Multi-Platform Price Finder: Scraping Prices with Bright Data, Claude AI & Telegram
This n8n workflow automates the process of finding and comparing product prices across multiple platforms using web scraping, AI analysis, and Telegram notifications. It allows users to submit product URLs via a form, scrapes the specified websites for price information using Bright Data, leverages Claude AI to analyze the data, and then sends the results to a Telegram chat.
## What it does
1. **Receives Product URLs**: Listens for new product URLs submitted through an n8n form.
2. **Scrapes Product Data**: Uses an HTTP Request node (presumably configured with Bright Data or a similar scraping service) to scrape product information, including prices, from the provided URLs.
3. **Processes Scraped Data**: Transforms and prepares the scraped data for AI analysis using a Code node.
4. **Analyzes with AI**: Sends the processed product data to an Anthropic Chat Model (Claude AI) to extract and compare prices, identify the best deals, or summarize information.
5. **Filters Results**: Filters the AI-generated results based on defined conditions (e.g., price thresholds, availability).
6. **Merges Data**: Combines the original input with the AI-analyzed results.
7. **Sends Telegram Notification**: Posts the final price comparison and insights to a specified Telegram chat.
8. **Waits (Optional)**: Includes a `Wait` node, which might be used for rate limiting or to allow time for manual review in more complex scenarios.
## Prerequisites/Requirements
* **n8n Instance**: A running n8n instance.
* **Google Sheets Account**: (Potentially, as a Google Sheets node is present, though not directly connected in the provided JSON. It might be for logging or initial data input in a larger context.)
* **Bright Data Account (or similar web scraping service)**: For the HTTP Request node to perform web scraping. You'll need API credentials and potentially a custom scraping setup.
* **Anthropic API Key**: For the Anthropic Chat Model (Claude AI) to process and analyze data.
* **Telegram Bot Token and Chat ID**: To send notifications to a Telegram chat.
* **n8n Form Trigger**: The workflow is initiated by an n8n form submission.
## Setup/Usage
1. **Import the workflow**: Download the JSON and import it into your n8n instance.
2. **Configure Credentials**:
* **Anthropic Chat Model**: Add your Anthropic API Key to the "Anthropic Chat Model" node.
* **HTTP Request**: Configure the HTTP Request node with your Bright Data (or other scraping service) API endpoint and credentials. You will likely need to adjust the request body and headers to match your scraping service's requirements and the target websites.
* **Telegram**: Set up a Telegram Bot and provide its API Token and the Chat ID where you want to receive notifications in the "Telegram" node.
* **Google Sheets (if used)**: If you plan to use the Google Sheets node, configure its credentials.
3. **Configure the n8n Form Trigger**: The "On form submission" node will provide a webhook URL. Share this URL or embed the form on a webpage to allow users to submit product URLs.
4. **Customize Nodes**:
* **Code Node**: Review and adjust the JavaScript in the "Code" node to correctly parse and format the scraped data for the AI agent.
* **AI Agent**: Customize the prompt and tools used by the "AI Agent" to ensure it extracts the desired price information and comparisons.
* **Filter Node**: Adjust the conditions in the "Filter" node to refine which results are passed on (e.g., only show prices below a certain threshold).
* **Telegram Node**: Customize the message template in the "Telegram" node to present the price comparison results clearly.
5. **Activate the workflow**: Once configured, activate the workflow in n8n.
6. **Submit a URL**: Submit a product URL via the n8n form to trigger the workflow.
Related Templates
Automate interior design lead qualification with AI & human approval to Notion
Overview This automated workflow intelligently qualifies interior design leads, generates personalized client emails, and manages follow-up through a human-approval process. Built with n8n, Claude AI, Telegram approval, and Notion database integration. β οΈ Hosting Options This template works with both n8n Cloud and self-hosted instances. Most nodes are native to n8n, making it cloud-compatible out of the box. What This Template Does Automated Lead Management Pipeline: Captures client intake form submissions from website or n8n forms AI-powered classification into HOT/WARM/COLD categories based on budget, project scope, and commitment indicators Generates personalized outreach emails tailored to each lead type Human approval workflow via Telegram for quality control Email revision capability for rejected drafts Automated client email delivery via Gmail Centralized lead tracking in Notion database Key Features β Intelligent Lead Scoring: Analyzes 12+ data points including budget (AED), space count, project type, timeline, and style preferences β Personalized Communication: AI-generated emails reference specific client details, demonstrating genuine understanding β Quality Control: Human-in-the-loop approval via Telegram prevents errors before client contact β Smart Routing: Different workflows for qualified leads (meeting invitations) vs. unqualified leads (respectful alternatives) β Revision Loop: Rejected emails automatically route to revision agent for improvements β Database Integration: All leads stored in Notion for pipeline tracking and analytics Use Cases Interior design firms managing high-volume lead intake Architecture practices with complex qualification criteria Home renovation companies prioritizing project value Any service business requiring budget-based lead scoring Sales teams needing approval workflows before client contact Prerequisites Required Accounts & API Keys: Anthropic Claude API - For AI classification and email generation Telegram Bot Token - For approval notifications Gmail Account - For sending client emails (or any SMTP provider) Notion Account - For lead database storage n8n Account - Cloud or self-hosted instance Technical Requirements: Basic understanding of n8n workflows Ability to create Telegram bots via BotFather Gmail app password or OAuth setup Notion database with appropriate properties Setup Instructions Step 1: Clone and Import Template Copy this template to your n8n instance (cloud or self-hosted) All nodes will appear as inactive - this is normal Step 2: Configure Form Trigger Open the Client Intake Form Trigger node Choose your trigger type: For n8n forms: Configure form fields matching the template structure For webhook: Copy webhook URL and integrate with your website form Required form fields: First Name, Second Name, Email, Contact Number Project Address, Project Type, Spaces Included Budget Range, Completion Date, Style Preferences Involvement Level, Previous Experience, Inspiration Links Step 3: Set Up Claude AI Credentials Obtain API key from https://console.anthropic.com In n8n: Create new credential β Anthropic β Paste API key Apply credential to these nodes: AI Lead Scoring Engine Personalized Client Outreach Email Generator Email Revision Agent Step 4: Configure Telegram Approval Bot Create bot via Telegram's @BotFather Copy bot token Get your Telegram Chat ID (use @userinfobot) In n8n: Create Telegram credential with bot token Configure Human-in-the-Loop Email Approval node: Add your Chat ID Customize approval message format if desired Step 5: Set Up Gmail Sending Enable 2-factor authentication on Gmail account Generate app password: Google Account β Security β App Passwords In n8n: Create Gmail credential using app password Configure Client Email Delivery node with sender details Step 6: Connect Notion Database Create Notion integration at https://www.notion.so/my-integrations Copy integration token Create database with these properties: Client Name (Title), Email (Email), Contact Number (Phone) Project Address (Text), Project Type (Multi-select) Spaces Included (Text), Budget (Select), Timeline (Date) Classification (Select: HOT/WARM/COLD), Confidence (Select) Estimated Value (Number), Status (Select) Share database with your integration In n8n: Add Notion credential β Paste token Configure Notion Lead Database Manager with database ID Step 7: Customize Classification Rules (Optional) Open AI Lead Scoring Engine node Review classification criteria in the prompt: HOT: 500k+ AED, full renovations, 2+ spaces WARM: 100k+ AED, 2+ spaces COLD: <100k AED OR single space Adjust thresholds to match your business requirements Modify currency if not using AED Step 8: Personalize Email Templates Open Personalized Client Outreach Email Generator node Customize: Company name and branding Signature placeholders ([Your Name], [Title], etc.) Tone and style preferences Alternative designer recommendations for COLD leads Step 9: Test the Workflow Activate the workflow Submit a test form with sample data Monitor each node execution in n8n Check Telegram for approval message Verify email delivery and Notion database entry Step 10: Set Up Error Handling (Recommended) Add error workflow trigger Configure notifications for failed executions Set up retry logic for API failures Workflow Node Breakdown Client Intake Form Trigger Captures lead data from website forms or n8n native forms with all project details. AI Lead Scoring Engine Analyzes intake data using structured logic: budget validation, space counting, and multi-factor evaluation. Returns HOT/WARM/COLD classification with confidence scores. Lead Classification Router Routes leads into three priority workflows based on AI classification, optimizing resource allocation. Sales Team Email Notifier Sends instant alerts to sales representatives with complete lead details and AI reasoning for internal tracking. Personalized Client Outreach Email Generator AI-powered composer creating tailored responses demonstrating genuine understanding of client vision, adapted by lead type. Latest Email Version Controller Captures most recent email output ensuring only final approved version proceeds to delivery. Human-in-the-Loop Email Approval Telegram-based review checkpoint sending generated emails to team member for quality control before client delivery. Approval Decision Router Evaluates reviewer's response, routing approved emails to client delivery or rejected emails to revision agent. Email Revision Agent AI-powered editor refining rejected emails based on feedback while maintaining personalization and brand voice. Client Email Delivery Sends final approved personalized emails demonstrating understanding of project vision with clear next steps. Notion Lead Database Manager Records all potential clients with complete intake data, classification results, and tracking information for pipeline management. Customization Tips Adjust Classification Thresholds: Modify budget ranges and space requirements in the AI Lead Scoring Engine prompt to match your market and service level. Multi-Language Support: Update all AI agent prompts with instructions for your target language. Claude supports 100+ languages. Additional Routing: Add branches for special cases like urgent projects, VIP clients, or specific geographic regions. CRM Integration: Replace Notion with HubSpot, Salesforce, or Airtable using respective n8n nodes. SMS Notifications: Add Twilio node for immediate HOT lead alerts to mobile devices. Troubleshooting Issue: Telegram approval not received Verify bot token is correct Confirm chat ID matches your Telegram account Check bot is not blocked Issue: Claude API errors Verify API key validity and credits Check prompt length isn't exceeding token limits Review rate limits on your Anthropic plan Issue: Gmail not sending Confirm app password (not regular password) is used Check "Less secure app access" if using older method Verify daily sending limits not exceeded Issue: Notion database not updating Confirm integration has access to database Verify property names match exactly (case-sensitive) Check property types align with data being sent Template Metrics Execution Time: ~30-45 seconds per lead (including AI processing) API Calls: 2-3 Claude requests per lead (classification + email generation, +1 if revision) Cost Estimate: ~$0.05-0.15 per lead processed (based on Claude API pricing) Support & Community n8n Community Forum: https://community.n8n.io Template Issues: Report bugs or suggest improvements via n8n template feedback Claude Documentation: https://docs.anthropic.com Notion API Docs: https://developers.notion.com License This template is provided as-is under MIT license. Modify and adapt freely for your business needs. --- Version: 1.0 Last Updated: October 2025 Compatibility: n8n v1.0+ (Cloud & Self-Hosted), Claude API v2024-10+
Automated UGC video generator with Gemini images and SORA 2
This workflow automates the creation of user-generated-content-style product videos by combining Gemini's image generation with OpenAI's SORA 2 video generation. It accepts webhook requests with product descriptions, generates images and videos, stores them in Google Drive, and logs all outputs to Google Sheets for easy tracking. Main Use Cases Automate product video creation for e-commerce catalogs and social media. Generate UGC-style content at scale without manual design work. Create engaging video content from simple text prompts for marketing campaigns. Build a centralized library of product videos with automated tracking and storage. How it works The workflow operates as a webhook-triggered process, organized into these stages: Webhook Trigger & Input Accepts POST requests to the /create-ugc-video endpoint. Required payload includes: product prompt, video prompt, Gemini API key, and OpenAI API key. Image Generation (Gemini) Sends the product prompt to Google's Gemini 2.5 Flash Image model. Generates a product image based on the description provided. Data Extraction Code node extracts the base64 image data from Gemini's response. Preserves all prompts and API keys for subsequent steps. Video Generation (SORA 2) Sends the video prompt to OpenAI's SORA 2 API. Initiates video generation with specifications: 720x1280 resolution, 8 seconds duration. Returns a video generation job ID for polling. Video Status Polling Continuously checks video generation status via OpenAI API. If status is "completed": proceeds to download. If status is still processing: waits 1 minute and retries (polling loop). Video Download & Storage Downloads the completed video file from OpenAI. Uploads the MP4 file to Google Drive (root folder). Generates a shareable Google Drive link. Logging to Google Sheets Records all generation details in a tracking spreadsheet: Product description Video URL (Google Drive link) Generation status Timestamp Summary Flow: Webhook Request β Generate Product Image (Gemini) β Extract Image Data β Generate Video (SORA 2) β Poll Status β If Complete: Download Video β Upload to Google Drive β Log to Google Sheets β Return Response If Not Complete: Wait 1 Minute β Poll Status Again Benefits: Fully automated video creation pipeline from text to finished product. Scalable solution for generating multiple product videos on demand. Combines cutting-edge AI models (Gemini + SORA 2) for high-quality output. Centralized storage in Google Drive with automatic logging in Google Sheets. Flexible webhook interface allows integration with any application or service. Retry mechanism ensures videos are captured even with longer processing times. --- Created by Daniel Shashko
Track personal finances in Google Sheets with AI agent via Slack
Who's it for This workflow is perfect for individuals who want to maintain detailed financial records without the overhead of complex budgeting apps. If you prefer natural language over data entry forms and want an AI assistant to handle the bookkeeping, this template is for you. It's especially useful for: People who want to track cash and online transactions separately Anyone who lends money to friends/family and needs debt tracking Users comfortable with Slack as their primary interface Those who prefer conversational interactions over manual spreadsheet updates What it does This AI-powered finance tracker transforms your Slack workspace into a personal finance command center. Simply mention your bot with transactions in plain English (e.g., "βΉ500 cash food, borrowed βΉ1000 from John"), and the AI agent will: Parse transactions using natural language understanding via Google Gemini Calculate balance changes for cash and online accounts Show a preview of changes before saving anything Update Google Sheets only after you approve Track debts (who owes you, who you owe, repayments) Send daily reminders at 11 PM with current balances and active debts The workflow maintains conversational context using PostgreSQL memory, so you can say things like "yesterday's transactions" or "that payment to Sarah" and it understands the context. How it works Scheduled Daily Check-in (11 PM) Fetches current balances from Google Sheets Retrieves all active debts Formats and sends a Slack message with balance summary Prompts you to share the day's transactions AI Agent Transaction Processing When you mention the bot in Slack: Phase 1: Parse & Analyze Extracts amount, payment type (cash/online), category (food, travel, etc.) Identifies transaction type (expense, income, borrowed, lent, repaid) Stores conversation context in PostgreSQL memory Phase 2: Calculate & Preview Reads current balances from Google Sheets Calculates new balances based on transactions Shows formatted preview with projected changes Waits for your approval ("yes"/"no") Phase 3: Update Database (only after approval) Logs transactions with unique IDs and timestamps Updates debt records with person names and status Recalculates and stores new balances Handles debt lifecycle (Active β Settled) Phase 4: Confirmation Sends success message with updated balances Shows active debts summary Includes logging timestamp Requirements Essential Services: n8n instance (self-hosted or cloud) Slack workspace with admin access Google account Google Gemini API key PostgreSQL database Recommended: Claude AI model (mentioned in workflow notes as better alternative to Gemini) How to set up Google Sheets Setup Create a new Google Sheet with three tabs named exactly: Balances Tab: | Date | CashBalance | OnlineBalance | Total_Balance | |------|--------------|----------------|---------------| Transactions Tab: | TransactionID | Date | Time | Amount | PaymentType | Category | TransactionType | PersonName | Description | Added_At | |----------------|------|------|--------|--------------|----------|------------------|-------------|-------------|----------| Debts Tab: | PersonName | Amount | Type | Datecreated | Status | Notes | |-------------|--------|------|--------------|--------|-------| Add header rows and one initial balance row in the Balances tab with today's date and starting amounts. Slack App Setup Go to api.slack.com/apps and create a new app Under OAuth & Permissions, add these Bot Token Scopes: app_mentions:read chat:write channels:read Install the app to your workspace Copy the Bot User OAuth Token Create a dedicated channel (e.g., personal-finance-tracker) Invite your bot to the channel Google Gemini API Visit ai.google.dev Create an API key Save it for n8n credentials setup PostgreSQL Database Set up a PostgreSQL database (you can use Supabase free tier): Create a new project Note down connection details (host, port, database name, user, password) The workflow will auto-create the required table n8n Workflow Configuration Import the workflow and configure: A. Credentials Google Sheets OAuth2: Connect your Google account Slack API: Add your Bot User OAuth Token Google Gemini API: Add your API key PostgreSQL: Add database connection details B. Update Node Parameters All Google Sheets nodes: Select your finance spreadsheet Slack nodes: Select your finance channel Schedule Trigger: Adjust time if you prefer a different check-in hour (default: 11 PM) Postgres Chat Memory: Change sessionKey to something unique (e.g., financetrackeryour_name) Keep tableName as n8nchathistory_finance or rename consistently C. Slack Trigger Setup Activate the "Bot Mention trigger" node Copy the webhook URL from n8n In Slack App settings, go to Event Subscriptions Enable events and paste the webhook URL Subscribe to bot event: app_mention Save changes Test the Workflow Activate both workflow branches (scheduled and agent) In your Slack channel, mention the bot: @YourBot βΉ100 cash snacks Bot should respond with a preview Reply "yes" to approve Verify Google Sheets are updated How to customize Change Transaction Categories Edit the AI Agent's system message to add/remove categories. Current categories: travel, food, entertainment, utilities, shopping, health, education, other Modify Daily Check-in Time Change the Schedule Trigger's triggerAtHour value (0-23 in 24-hour format). Add Currency Support Replace βΉ with your currency symbol in: Format Daily Message code node AI Agent system prompt examples Switch AI Models The workflow uses Google Gemini, but notes recommend Claude. To switch: Replace "Google Gemini Chat Model" node Add Claude credentials Connect to AI Agent node Customize Debt Types Modify AI Agent's system prompt to change debt handling logic: Currently: IOwe and TheyOwe_Me You can add more types or change naming Add More Payment Methods Current: cash, online To add more (e.g., credit card): Update AI Agent prompt Modify Balances sheet structure Update balance calculation logic Change Approval Keywords Edit AI Agent's Phase 2 approval logic to recognize different approval phrases. Add Spending Analytics Extend the daily check-in to calculate: Weekly/monthly spending summaries Category-wise breakdowns Use additional Code nodes to process transaction history Important Notes β οΈ Never trigger with normal messages - Only use app mentions (@botname) to avoid infinite loops where the bot replies to its own messages. π‘ Context Awareness - The bot remembers conversation history, so you can reference "yesterday", "last week", or previous transactions naturally. π Data Privacy - All your financial data stays in your Google Sheets and PostgreSQL database. The AI only processes transaction text temporarily. π Backup Regularly - Export your Google Sheets periodically as backup. --- Pro Tips: Start with small test transactions to ensure everything works Use consistent person names for debt tracking The bot understands various formats: "βΉ500 cash food" = "paid 500 rupees in cash for food" You can batch transactions in one message: "βΉ100 travel, βΉ200 food, βΉ50 snacks"