Block 1 - Fetch Tech Stack
- Type / Role
- @predictleads/n8n-nodes-predictleads.predictLeads - predictLeads
- Config choices
- Version 1
Overview This workflow reads a list of prospect company domains from Google Sheets, enriches each company with multiple PredictLeads data sources, calculates a weighted intent score based on job op...
@predictleads/n8n-nodes-predictleads.predictleads, n8n-nodes-base.slack, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.scheduletrigger, n8n-nodes-base.if, n8n-nodes-base.sort, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yaron Been.
Original n8n.io sourceThis workflow reads a list of prospect company domains from Google Sheets, enriches each company with multiple PredictLeads data sources, calculates a weighted intent score based on job openings, technology detections, and news events, filters for high-intent accounts, ranks them by score, sends Slack notifications for immediate action, and logs the qualified leads back to Google Sheets.
domain column for the prospect list.The workflow does not send emails or generate AI outreach copy. It is focused on lead scoring, prioritization, alerting, and storage.
The scoring formula is currently:
intent_score = (job openings * 5) + (technology detections * 3) + (news events * 2)
intent_score > 20
Qualified leads are both alerted in Slack and written to Google Sheets for persistence.
PredictLeads docs: https://docs.predictleads.com
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Score multi-signal buying intent and prioritize leads with PredictLeads, Google Sheets, and Slack |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Lead Generation, AI Summarization |
| Author | Yaron Been |
| Published | 26 Mar 2026 |
Use the JSON export at /data/workflows/14348/14348.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Overview This workflow reads a list of prospect company domains from Google Sheets, enriches each company with multiple PredictLeads data sources, calculates a weighted intent score based on job op...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.