Monitor Google Maps for specified business types in any city, validate results, enrich emails with AI, and save complete leads to Airtable while logging results and notifying when ready.
Automates discovery of target businesses by city and type, enriches with emails via AI, and stores results in Airtable.
A streamlined sequence from search to storage.
Search Google Maps for target city and business type.
Validate operational status and presence of a website.
Enrich each lead with a verified email using Jina AI.
Format and standardize data to Airtable schema.
Store enriched leads in Airtable with complete fields.
Log results and flag duplicates or errors for review.
This AI agent replaces tedious manual searching with an end-to-end automated pipeline that delivers ready-to-use outreach data.
A simple 3-step flow from input to Airtable storage.
Submit country, city, and target business type to start the AI agent.
AI validates input, builds an optimized Google Places query, and fetches results.
Filter for operational leads, enrich emails with Jina AI, and save to Airtable.
A realistic run showing end-to-end automation in action.
Scenario: Country USA, City New York, Business Type IT services. The AI agent fetches up to 20 businesses, filters for operational sites, enriches emails via Jina AI, and saves 8 complete leads to Airtable in under 5 minutes.
Roles that gain concrete value from automated lead generation.
Need targeted city-and-type lead lists for outbound outreach.
Require contact data for campaigns and list-building.
Offer scalable lead-generation services to clients.
Identify potential customers or partners in new cities.
Keep contact data fresh and standardized in the CRM.
Rapidly assemble outreach-ready lead pools for experiments.
Key tools the AI agent uses to build and enrich leads.
Finds target businesses by city and type and returns basic details.
Visits company websites to locate contact emails using site navigation.
Stores final lead records with a standardized schema.
Generates optimized search queries and processes data.
Concrete scenarios where automated city/type lead gen shines.
Common questions and practical guidance.
Provide Country, City, and Target Business Type. Optional filters can refine results. The form triggers the AI agent to generate the best query for Google Places, fetch matching businesses, and prepare data for Airtable storage. The AI agent maps fields to Airtable automatically, reducing setup time. If you need more customization, you can adjust the AI prompts and search parameters.
The AI agent fetches up to 20 results per Google Places query; subsequent filtered results may be fewer. You can adjust the pageSize setting to fetch more or fewer results. Lead quality depends on city and business type availability. Emails are enriched only for valid and accessible websites. Airtable storage occurs after enrichment. If you need higher throughput, you can run multiple target configurations in sequence.
Email extraction relies on the site structure and public availability of contact pages. While the AI scraper uses navigation heuristics to locate emails, there is no guarantee every lead will have a valid email. Some emails may be outdated or protected. You should verify critical contacts before high-volume outreach. The AI agent provides logs and a fail-safe to re-scrape or flag uncertain leads.
Yes. You can modify the AI prompts to adjust how the query is built for Google Places. You can also swap in alternative data sources or adjust the target fields. The AI agent supports changing the business types, cities, and countries via the trigger form. Some integrations may require configuration changes, but the core flow remains the same.
Currently Airtable is the default destination. The design supports exporting to Google Sheets or a CRM with additional configuration. You can map fields to your chosen schema. If you need another destination, you can adapt the Airtable export step to push to a different endpoint.
Data privacy depends on the sources and how you process contact information. The AI agent uses publicly available data and stores it in your Airtable base; ensure you comply with local outreach regulations. Implement consent and opt-out processes within your campaigns. For high-sensitivity data, consider additional privacy controls and access permissions.
The AI agent includes a de-duplication step that checks for existing records in Airtable before saving new leads. If a potential duplicate is detected, the lead is skipped or merged, depending on your configuration. Duplicates are logged for review. You can customize duplicate handling rules to fit your data hygiene needs.
Monitor Google Maps for specified business types in any city, validate results, enrich emails with AI, and save complete leads to Airtable while logging results and notifying when ready.
