Block 1 - Run Every Day at 1 PM
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Who is this for? This workflow is perfect for lead generation experts, digital marketers, SEO professionals, and virtual assistants who need to quickly collect local business information based on s...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.splitout, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yang.
Original n8n.io sourceThis workflow is perfect for lead generation experts, digital marketers, SEO professionals, and virtual assistants who need to quickly collect local business information based on specific search terms without manually navigating Google Places.
Manually searching Google Places for business leads is time-consuming and inconsistent. This workflow automates the entire process using Dumpling AI’s Google Places search endpoint, helping users collect accurate and structured business data and log it into a Google Sheet automatically.
This workflow runs daily at 1 PM. It starts by reading a list of business-related search terms from a Google Sheet (for example, “dentists in Dallas”). Each term is sent to Dumpling AI’s search-places endpoint, which returns local business listings from Google Places. The data is split, structured, and logged row-by-row in a connected Google Sheet.
Run Every Day at 1 PM
A scheduled trigger that executes the workflow daily.
Google Sheets (Input) – Fetch Search Terms from Sheet
Pulls a list of search terms from a Google Sheet. Each term should describe a business category and location (e.g., “coffee shops in Atlanta”).
HTTP Request – Scrape Google Places via Dumpling AI
Sends each search term to Dumpling AI’s /search-places endpoint, returning data like business names, phone numbers, websites, ratings, and categories.
Split In Batches – Split Places Result
Breaks the list of businesses returned for each search term into individual items for processing.
Google Sheets (Output) – Save Each Business to Sheet
Saves the scraped data into a second Google Sheet. Each row contains:
titleaddressratingcategoryphoneNumberwebsiteThis 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 | Scrape Google Places via Dumpling AI and auto-save to Google Sheets |
|---|---|
| Complexity | intermediate |
| Nodes | 6 |
| Categories | Lead Generation |
| Author | Yang |
| Published | 03 Jun 2025 |
Use the JSON export at /data/workflows/4632/4632.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.
Who is this for? This workflow is perfect for lead generation experts, digital marketers, SEO professionals, and virtual assistants who need to quickly collect local business information based on s...
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 use case.