by System Admin
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by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by Daniel
Apollo Lead Scraper to Airtable CRM Automate your lead generation by scraping targeted prospects from Apollo.io, enriching with contact details, and seamlessly syncing to Airtable for organized outreach—all without manual data entry. What It Does This workflow pulls search URLs from Airtable, uses Apify to scrape Apollo leads (up to 50k), enriches with emails and LinkedIn profiles, removes duplicates, filters valid entries, and categorizes contacts into Airtable tables based on email availability for efficient CRM management. Key Features Apify Apollo Scraper** - Extracts up to 50k leads with personal/work emails Smart Deduplication** - Removes duplicates based on key fields like email and name Email Categorization** - Separates contacts with/without emails into dedicated tables Field Mapping** - Customizable data transformation for Airtable compatibility Configurable Limits** - Adjust total records and memory for optimal performance Error Handling** - Built-in troubleshooting for common issues like invalid URLs Perfect For Sales Teams**: Build targeted B2B pipelines for email campaigns Recruiters**: Source candidates by job title, location, and skills Marketers**: Create datasets for market research and analysis Agencies**: Automate client prospecting from custom filters Researchers**: Collect professional data for industry studies CRM Managers**: Maintain clean, enriched contact databases Technical Highlights Leveraging n8n's Airtable and Apify integrations, this workflow showcases: Dynamic data fetching from Airtable tables Actor-based web scraping with custom parameters Conditional branching for data routing Efficient data processing with set, filter, and if nodes Scalable design for large datasets with memory optimization Ideal for automating lead workflows and scaling prospecting efforts. No advanced coding needed—just set up credentials and run!
by THE NEXOVA
Who is this for? Vietnamese businesses, marketers, and product managers who need daily competitive intelligence about competitor websites without manually checking them every day. How it works This template combines two custom community nodes (Firecrawl + Zalo Bot) to automate competitor monitoring with AI-powered Vietnamese summaries. Schedule Trigger runs daily at 9 AM Set Configuration holds competitor URL, brand name, and Zalo Chat ID Firecrawl Scrape fetches the competitor page (handles JS, anti-bot, content cleaning) OpenAI Summarize generates a concise Vietnamese summary of key updates Format Alert prepares the notification text with timestamp and source Zalo Bot Send delivers the alert via Zalo Bot Platform Why this combination is unique Firecrawl handles modern JavaScript-heavy websites that traditional scrapers fail on Zalo Bot is the dominant messaging platform in Vietnam (75M+ users) Vietnamese AI summarization removes the language barrier for local teams No other template combines web scraping with Zalo Bot alerts Set up steps Install community nodes n8n-nodes-firecrawl-v2 and n8n-nodes-zalo-platform Get Firecrawl API key from firecrawl.dev (or use self-hosted) Create a Zalo Bot via Zalo Bot Manager in the Zalo app to get your Bot Token Add OpenAI credentials (or swap with Claude/Gemini) Update Set Configuration with competitor URL and Zalo Chat ID Activate and let it run daily Requirements Self-hosted n8n (community nodes cannot be installed on n8n Cloud) Firecrawl API key (Cloud or self-hosted) Zalo Bot Token from Zalo Bot Manager OpenAI API key How to customize Loop over multiple competitors Replace OpenAI with Claude, Gemini, or local LLM Save history to Google Sheets to track changes Add diff detection to alert only on actual changes Send to multiple Zalo recipients or groups
by Intuz
Disclaimer Community nodes are used, and template can only be used on self-hosted n8n instances. This n8n template from Intuz provides a complete solution to automate the process of scraping company and founder data from Y Combinator. It systematically extracts valuable information from your target search and organizes it directly into a Google Sheet, building a powerful prospecting list with minimal effort. Who's this workflow for? Sales Teams & SDRs Venture Capitalists Angel Investors Market Researchers Startup Founders How it works 1. Trigger the Scrape: You start the workflow manually whenever you want to gather new company data. 2. Scrape Y Combinator: An Apify actor automatically visits your specified Y Combinator search URL (e.g., filtered by batch, industry, or region) and scrapes the details of each company listed. 3. Retrieve Structured Data: The workflow fetches the neatly structured data from Apify, including company names, descriptions, websites, founder details, and more. 4. Log to Google Sheets: All the scraped information is added or updated as new rows in your designated Google Sheet, creating an organized and actionable database. Setup Instructions 1. Apify Configuration: In the Run an Actor node, connect your Apify account. Select the Y Combinator Directory Scraper actor. In the Custom Body field, replace {YOUR_Y_COMBINATOR_SEARCH_URL} with the actual URL from the Y Combinator website after you've applied your desired filters. You can adjust the maxCompanies value to control how many companies are scraped per run. 2. Google Sheets Configuration: In the Add data to Google Sheet node, connect your Google Sheets account. Select the Document (spreadsheet) and Sheet where you want to save the data. Make sure the sheet has the required columns listed in the "Key Requirements" section. 3. Execute the Workflow: Click the "Execute workflow" button to run the scraper and populate your Google Sheet. Key Requirements to Use This Template n8n Instance: An active n8n account (Cloud or self-hosted). Apify Account: An active Apify account with an API key. You will also need sufficient credits or a subscription plan to run the Y Combinator Directory Scraper actor. Google Account & Sheet: A Google account and a pre-made Google Sheet. The sheet must have the following columns created in advance: Company, Location, Website, LinkedIn, Founded, Description, Industry Tags, Founder 1 Name, Founder 1 LinkedIn, Founder 2 Name, and Founder 2 LinkedIn. Connect with us Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Worflow Automation Click here- Get Started
by amudhan
Uses a DigitalOcean Personal Access Token to create a new Droplet. Add your personal access token and change the parameters to create droplets of different sizes. You can also specify more options; refer the API docs
by System Admin
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