Google Maps Lead Scraping And Outreach
Submit a location and keyword to scrape Google Maps leads, generate personalized cold call scripts via AI, and store everything in Supabase.
What it does
Submit your location and keyword to instantly find businesses on Google Maps, receive AI-generated cold call scripts tailored to each lead, and have all results saved securely in your database.
Step by step
- Configure the Bright Data scraper with specific parameters for location, keyword, and country to extract structured business data.
- Set up a Supabase table schema to store lead details such as name, phone number, email, and generated script content.
- Implement an API trigger that passes the scraped lead data payload to the LLM generation endpoint.
Where the LLM does the work
- Generate personalized cold call scripts that incorporate specific business context from the scraped Google Maps data.
- Create tailored talking points that address potential objections based on the industry or service type of each lead.
- Refine the tone and length of the outreach content to match the user's preferred communication style.
Watch out for
Google Maps data often contains missing phone numbers so implement a fallback strategy like email extraction or manual review.
LLM outputs may vary in format so enforce strict JSON schema validation before storing results in Supabase.
Personalization quality drops if the scraped data lacks details like business description so filter out incomplete leads early.
Tools that fit
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Google Maps Lead Scraping And Outreach: Submit a location and keyword to scrape Google Maps leads, generate personalized cold call scripts via AI, and store everything in Supabase. ## Specification - What it does: Submit your location and keyword to instantly find businesses on Google Maps, receive AI-generated cold call scripts tailored to each lead, and have all results saved securely in your database. - Trigger: Run manually (Manual · on form submission) - Autonomy: You stay in control - Expected setup effort: about an afternoon - Tools/services involved: - Bright Data: Scraping Google Maps data - LLM: Generating personalized cold call scripts - Supabase: Storing enriched leads and scripts ## Known pitfalls, handle each one explicitly in your implementation 1. Google Maps data often contains missing phone numbers so implement a fallback strategy like email extraction or manual review. 2. LLM outputs may vary in format so enforce strict JSON schema validation before storing results in Supabase. 3. Personalization quality drops if the scraped data lacks details like business description so filter out incomplete leads early. ## Reference implementation https://n8n.io/workflows/6993 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/google-maps-lead-scraping-and-outreach/ via usecasesforagents.com
Frequently asked questions
Can I use a different Web Scraping than Bright Data?
Yes. Bright Data is only the example web scraping in this recipe. The same flow works with Airtop, Apify, Decodo and Firecrawl. Swap the web scraping connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for founders and execs who need sales handled without hiring for it.
Freelancers and consultants can run this per-client with no changes beyond the source data.
Sales teams can plug this into their own CRM and call cadence just as easily.