Track technology stacks & find decision makers with BuiltWith to Google Sheets
Unlock deep insights into your prospects' digital infrastructure by automatically piping BuiltWith technology profiles into Google Sheets. This workflow streamlines lead enrichment by identifying key technical decision-makers and monitoring shifts in competitor tech stacks. Stay one step ahead in the B2B landscape by targeting the right people based on the specific tools they use.
Run this with your team's AIWhat This Recipe Does
The Builtwith TechLead Tracker automates the process of gathering competitive intelligence and technical data on prospective clients. By leveraging the Builtwith API, this automation identifies the specific software, frameworks, and tools installed on any target website and centralizes that information directly into a Google Sheet. Sales and marketing teams can use these insights to qualify leads based on their current technology stack, allowing for highly personalized outreach and more effective sales pitches. Instead of manual research, your team receives a structured list of leads categorized by the technology they use, such as specific e-commerce platforms, analytics tools, or advertising networks. This workflow transforms raw technical data into a strategic asset, helping your business identify market gaps, track competitor usage, and prioritize high-value accounts that are most likely to convert. By eliminating the manual data entry associated with technical prospecting, your team can focus on closing deals rather than searching for domain details.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Google Sheets connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google Sheets once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Sales Development Representatives use this to qualify prospects by identifying those currently using a competitor's software.
- Marketing teams use this to build segmented email lists for account-based marketing campaigns based on specific website technologies.
- Strategic partnership managers use this to find companies that use complementary technologies to identify ideal integration partners.
Frequently Asked Questions
What information do I need to provide to run this tracker?
You only need to provide a list of company domain names, and the automation will handle the technical data retrieval and organization.
Can I filter for specific technologies or software categories?
Yes, the workflow can be configured to look for specific tools, such as e-commerce platforms, payment processors, or CRM systems.
Do I need a Builtwith API key to use this?
Yes, this automation requires a valid Builtwith API key to fetch real-time technology data from their database.
How is the final data delivered?
All identified technical insights and lead information are automatically saved and formatted into a Google Sheet for immediate use by your sales team.
Coming from n8n?
This recipe uses nodes like ManualTrigger, Set, HttpRequest, Code and 2 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
Related Recipes
Build targeted prospect lists: find & enrich leads with Surfe to HubSpot
Manually building prospecting lists is a significant bottleneck for sales teams, often consuming hours that should be spent closing deals. This automation streamlines the entire process by capturing prospect data from external sources and instantly syncing it with your CRM. Instead of copying and pasting information between tabs, this workflow uses intelligent filtering to ensure only high-quality leads enter your pipeline. Once a prospect is identified and verified, the system automatically creates or updates a record in HubSpot, maintaining data integrity and eliminating manual entry errors. Furthermore, it bridges the gap between discovery and outreach by integrating directly with Gmail, allowing you to trigger personalized notifications or initial contact the moment a new lead is qualified. By automating the repetitive task of list building, your sales team can focus on high-value interactions and strategic outreach. This workflow ensures your pipeline stays full of actionable opportunities without the administrative overhead usually required to maintain it.
Automate scraping Y Combinator startups with Apify & Google Sheets
Staying ahead in the venture capital and startup ecosystem requires immediate access to data on the world's most promising new companies. This automation simplifies the process of tracking Y Combinator startups by bridging the gap between web data and your internal database. By integrating Apify's powerful scraping capabilities with Google Sheets, this workflow automatically extracts detailed information on YC-backed companies and organizes it into a structured, shareable format. Instead of manually searching directories and copying data point by data point, business development teams can now generate comprehensive lead lists in minutes. This tool ensures your CRM or investment pipeline is always populated with the latest information from the most recent cohorts, allowing you to focus on outreach and analysis rather than manual data entry. Whether you are looking for potential partners, investment opportunities, or competitive intelligence, this automation provides a reliable, scalable way to monitor the startup landscape.
Reddit freelance job monitor with Google Sheets tracking and Telegram alerts
This sales intelligence and lead notification automation bridges the gap between data discovery and active outreach. By scheduling regular checks across external data sources and internal databases, the system identifies high-potential sales opportunities without manual intervention. The automation fetches fresh lead data through web requests, filters the results based on your specific business criteria, and synchronizes the information with Google Sheets to maintain a centralized source of truth. This process eliminates the need for sales representatives to manually refresh dashboards or hunt for new prospects across different platforms. Instead, the system pushes real-time alerts directly to Telegram, ensuring your team can respond to new leads within minutes. This proactive approach significantly increases conversion rates by shortening the response time and keeps your prospecting data organized and actionable. By automating the repetitive tasks of lead monitoring and data entry, your sales team can focus their energy entirely on high-value activities like closing deals and building client relationships.
Automated AI lead enrichment: Salesforce to Explorium for enhanced prospect data
Manual lead research is a significant bottleneck for high-growth sales teams, often resulting in outdated information and missed opportunities. This automation eliminates the manual grind by connecting Salesforce directly to Explorium's external data engine. Whenever a new lead is created or updated in Salesforce, the workflow automatically triggers a data enrichment process. It filters the incoming data, processes it through custom logic, and pulls deep firmographic and demographic insights from Explorium to fill the gaps in your CRM. By ensuring every prospect record is automatically populated with accurate, high-quality data, your sales representatives can stop hunting for phone numbers and company details and start focusing on high-value outreach. The result is a more efficient sales pipeline, better lead scoring accuracy, and a significantly higher conversion rate driven by personalized, data-backed communication.
Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork