End-to-end automation from search to outreach.
This AI agent automates local lead prospecting from search to outreach by scraping Google Maps with ScraperCity and collecting listings. It downloads, parses, and aggregates data, then finds owner emails via the business domain. Finally, it sends personalized Gmail outreach and tracks outcomes end to end.
A concise look at the core actions in sequence.
Trigger searches by business type and city.
Scrape Google Maps with ScraperCity to collect up to 500 listings.
Poll for scrape completion and download results.
Locate owner emails using the domain-based email finder.
Create personalized outreach emails using business name and city.
Send emails via Gmail and log outreach activity.
This AI agent helps you overcome common local-prospecting bottlenecks and scale outreach. Before adopting it, teams struggle with fragmented data, slow manual scraping, and inconsistent follow-ups. After implementing it, data is centralized, scraping is automated, emails are verified and personalized at scale, and outreach results are visible in real time.
A simple 3-step flow anyone can follow.
Set the target business type and city, then define sender details to start the workflow.
ScraperCity collects listings (up to 500 per search); the agent waits for completion and parses results into structured fields.
Find owner emails via domain-based finder and send personalized Gmail outreach, logging results for auditing.
A realistic use case with time and outcome.
A local marketing agency targets 40 HVAC contractors in Austin. In about 15 minutes, the AI agent scrapes 40 listings, verifies emails for 25, and sends personalized outreach to 20 prospects, with responses expected within 24–72 hours and results logged for follow-up.
Identify the most likely users and how they gain value.
Need scalable, repeatable prospecting for multiple clients.
Acquire SMB clients at scale without manual cold calling.
Scale outreach to potential clients in target cities.
Generate local leads efficiently for service appointments.
Expand local patient base with targeted outreach.
Prospect service vendors and partners in bulk.
Key tools that run the AI agent and how they’re used.
Fetches Google Maps data via API for business listings.
Sends outreach emails from your Gmail account.
Orchestrates the workflow and API calls between services.
Logs sent contacts and outreach status for auditing.
Practical scenarios where this AI agent shines.
Common questions about using this AI agent.
Not necessarily. The workflow is designed for non-technical users. You configure parameters in a node, connect ScraperCity and Gmail via OAuth, and run. Advanced customizations can be made in the underlying settings, but basic setup is point-and-click. If you run into issues, you can adjust the search params and credentials.
The ScraperCity integration used by this AI agent supports up to 500 listings per search. You can run multiple searches sequentially or adjust your location and filters to maximize the number of relevant prospects. Performance depends on API limits and your ScraperCity plan. Results are downloaded and parsed automatically for the next steps.
Yes. You can tailor the business type, city, and other search parameters in the Configure Search Parameters step. This enables targeted outreach for specific niches and geographies. Changes apply to subsequent runs and can be saved as presets for reuse.
The described workflow uses Gmail for outreach. You can authorize Gmail via OAuth2 and send messages from your Gmail account. If you need to use a different email provider, you can adapt the integration to route messages through that service, but it may require additional setup.
Compliance depends on how you use the tool. Ensure your outreach follows applicable laws (for example, opt-in requirements and allowed contact types in your jurisdiction). Use clear subject lines and provide a simple opt-out. Maintain respectful frequency and track responses to avoid spam-like behavior.
Yes. The AI agent supports on-demand triggers and can be configured for regular scheduling. You can specify cadence (e.g., daily or weekly) and adjust search parameters between runs. Scheduled runs help maintain a steady stream of prospects without manual initiation.
Results are stored in the connected data stores (e.g., downloaded data, parsed results, and Gmail outreach logs). You can append to Google Sheets for auditing and reporting, and keep a consistent, readable log of sent contacts and responses.
End-to-end automation from search to outreach.
