ManualTrigger Langchain.chainLlm Langchain.outputParserStructured Langchain.lmChatOpenAi SplitOut Set +8 more

Automated local business lead generation with Google Maps & GPT-4

Supercharge your prospecting by automating the hunt for local business leads using AI-driven search queries and intelligent web scraping. This workflow navigates Google Maps to identify targets, extracts contact information directly from their websites, and organizes everything into a deduplicated, ready-to-use list. Stop wasting time on manual data entry and start focusing on closing deals with high-intent local clients.

Run this with your team's AI

What This Recipe Does

The Google Maps Scraper automation transforms a manual, time-consuming research task into a streamlined lead generation engine. By programmatically extracting business data directly from Google Maps, your team can instantly build targeted prospect lists without the need for manual data entry or expensive third-party databases. This workflow handles the heavy lifting of navigating search results, filtering out duplicates, and organizing essential information such as business names, contact details, and locations into a structured format. For sales and marketing teams, this means more time spent on high-value outreach and less time on administrative data collection. The automation is designed to respect rate limits and ensure data integrity, providing a reliable way to scale your local market research and competitive analysis efforts. By turning geographical search queries into actionable business intelligence, you can identify new opportunities and expand your market reach with precision and speed.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

ManualTrigger, Langchain.chainLlm, Langchain.outputParserStructured, Langchain.lmChatOpenAi, SplitOut connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect ManualTrigger and Langchain.chainLlm once, in your team cloud, and nobody has to do it again on their own machine

  2. 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. 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

Frequently Asked Questions

Do I need coding skills to use this scraper?

No, this automation is designed to run as a complete application. You simply provide the search criteria and the system handles the extraction process automatically.

Can I target specific industries or locations?

Yes, the workflow is fully customizable. You can define the exact business categories and geographical areas you want to target to ensure the data is relevant to your needs.

How does the system handle duplicate listings?

The automation includes a built-in filtering mechanism that identifies and removes duplicate entries, ensuring your final list is clean and unique.

What information can I expect to receive?

The scraper extracts key business details available on Google Maps, including business names, addresses, ratings, and other publicly available contact information.

Coming from n8n?

This recipe uses nodes like ManualTrigger, Langchain.chainLlm, Langchain.outputParserStructured, Langchain.lmChatOpenAi and 10 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.

ManualTrigger Langchain.chainLlm Langchain.outputParserStructured Langchain.lmChatOpenAi SplitOut Set SplitInBatches Limit Wait Code HttpRequest Filter RemoveDuplicates StickyNote

Based on n8n community workflow. View original

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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