Google Maps Web Lead Extractor Agent Template

• What it does: Finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads.
• Best for: local lead teams, agencies, sales operators, consultants, and small businesses.
• Apps used: web_search, Apify.
• Setup time: 10 to 15 minutes before a small 10 to 20 lead smoke test.

Last verified from workflow config on 2026-08-20. Includes exact connector scopes, common failure modes, and fixes.

The Google Maps Web Lead Extractor finds, cleans, deduplicates, scores, and exports local business leads with controlled scraping costs. This template acts as a starting point: open any agent and use Use AI to help draft or update its instructions—adding new agents or connecting new tools is done manually in the canvas.

The problem this template solves

• Paid scraping begins without: a confirmed niche, location, lead cap, required fields, or enrichment policy.
• Retries can duplicate a: still-running actor and create avoidable cost.
• Lead files mix duplicates: missing values, fit, and completeness into one unreliable score.

How do you build a Google Maps lead generation agent yourself?

A reliable Google Maps lead generation agent needs ICP research, an approved Google Maps actor, capped run control, safe polling, normalization, deduplication, transparent scoring, reusable profiles, and JSON or CSV validation. The method must keep source evidence, calculations, recommendations, and external actions distinct so a user can review what happened.

You can build this with Claude Code, Codex, or a custom stack. You would own authentication, schemas, retries, storage, approval state, testing, and ongoing connector maintenance. This template starts with those workflow decisions already represented in an editable Agent Build.

If the adjacent job is a better fit, the B2B Lead Sourcing and Cold Outreach Manager template provides a related starting point without forcing this agent beyond its actual scope.

Setup guide

Step 1: Clone the template into the right Project

Open the template gallery from Agent Space, choose Google Maps Web Lead Extractor, and clone it into the Project that holds the relevant customer context. The workflow opens as an editable draft with its agents, notes, tools, and installed skills.

Step 2: Review Project context and complete first-run setup

Open Run and start a new conversation with Web Lead Extractor. The agent checks read-only Project files and its reusable setup record before asking only for unresolved choices from the installed Plan and Run the Lead Search method.

Step 3: Connect only the apps this workflow needs

Open Agent Build, inspect each tool node, and connect the required accounts for web_search, Apify. Review the allowlisted actions shown in the Apps used table below, and avoid granting broader write access than the template needs.

Step 4: Confirm goals, limits, and approval policy

Review the saved setup fields, reporting window, output preferences, cost limits, and any external-write policy. Keep analysis and draft work available by default, and require explicit approval for any live side effect described in the workflow guardrails.

Step 5: Test a normal prompt and an edge case

Run Find 15 Berlin coffee roasters with four or more stars, a website, and any observed email. Then open a clean conversation and test Inspect the latest actor run before retrying and do not invent missing contact details. Inspect tool calls, files, human-input pauses, and the final answer in the trace before changing instructions.

Step 6: Publish the tested draft

Return to Build, save the final configuration, then publish it from Deploy after the draft test behaves as expected. Use Playground for ongoing work and Agent Space to watch live status or requests that need human input.

Common issues and fixes

• A required connector is disconnected: Open Tools and Skills, connect the account in the same Project, and confirm the intended actions remain allowlisted.
• Project context is incomplete: Add or update the relevant brand, goal, policy, glossary, or source file at Project scope, then ask the agent to refresh setup instead of guessing.
• The requested action is unsupported: Keep the local analysis or draft, state the connector gap, and do not claim a live write without a returned identifier.
• The result uses the wrong window or target: Confirm the saved setup, source period, locale, identity, and output goal before rerunning a cost-bearing or external step.

Customization knobs

• company offer and ideal business profile: Review and update this value through the first-run setup flow when the Project changes.
• business categories, search terms, and target locations: Review and update this value through the first-run setup flow when the Project changes.
• exclusions and minimum rating/review requirements: Review and update this value through the first-run setup flow when the Project changes.
• first-run and normal lead-count caps: Review and update this value through the first-run setup flow when the Project changes.
• required and optional output fields: Review and update this value through the first-run setup flow when the Project changes.
• contact extraction and paid-enrichment policy: Review and update this value through the first-run setup flow when the Project changes.

Who this template is for

• Google Maps lead scrapers: Ranked from google maps lead scraper (50 US searches/month in the evaluated dataset). The workflow fits because it can finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads.
• Local lead teams: Ranked from local business leads (40 US searches/month in the evaluated dataset). The workflow fits because it can finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads.
• Lead generation agencies: Ranked from google maps lead generation for agencies (0 US searches/month in the evaluated dataset). The workflow fits because it can finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads.
• Local-business sales teams: Ranked from google maps lead generation local business (0 US searches/month in the evaluated dataset). The workflow fits because it can finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads.

What the agent does

This template can:

• Inspect Project context, the: company profile, and any saved lead-search profiles before asking questions.
• Confirm the niche, location: search terms, required fields, exclusions, lead cap, and enrichment policy.
• Run an approved Apify: Google Maps actor with a hard item limit, then poll and fetch the result safely.
• Normalize source fields, preserve: missing values, and deduplicate by place ID, domain, and normalized phone.
• Apply exclusions and score: ICP fit separately from record completeness.
• Merge results only when: niche and location match, and distinguish new leads from prior records.
• Validate the final JSON: or CSV and save reusable search settings and results.
• Report counts, top matches: paid options used, costs, and unresolved data gaps.

How the workflow works

1. Inspect Project context, the company profile, and any saved lead-search profiles before asking questions.
2. Confirm the niche, location, search terms, required fields, exclusions, lead cap, and enrichment policy.
3. Run an approved Apify Google Maps actor with a hard item limit, then poll and fetch the result safely.
4. Normalize source fields, preserve missing values, and deduplicate by place ID, domain, and normalized phone.
5. Apply exclusions and score ICP fit separately from record completeness.
6. Merge results only when niche and location match, and distinguish new leads from prior records.
7. Save the evidence, approvals, files, and final result for review.

This is a single-agent workflow. The main agent owns research, planning, tool use, approvals, files, and the final response without passing routine stages between specialists.

Requirements and setup inputs

Use the template in a Project that contains the relevant business context. Connect only the accounts required for web_search, Apify. The agent reads Project files before asking questions and stores confirmed reusable setup at agent scope.

• company offer and ideal business profile: Confirm this only when it is not already available from Project context, public evidence, or a saved setup record.
• business categories, search terms, and target locations: Confirm this only when it is not already available from Project context, public evidence, or a saved setup record.
• exclusions and minimum rating/review requirements: Confirm this only when it is not already available from Project context, public evidence, or a saved setup record.
• first-run and normal lead-count caps: Confirm this only when it is not already available from Project context, public evidence, or a saved setup record.
• required and optional output fields: Confirm this only when it is not already available from Project context, public evidence, or a saved setup record.
• contact extraction and paid-enrichment policy: Confirm this only when it is not already available from Project context, public evidence, or a saved setup record.
• cost approval, deduplication scope, and output format: Confirm this only when it is not already available from Project context, public evidence, or a saved setup record.

No template-wide sample-data artifact is installed. The template installs its reusable methods and setup.md through skills, then creates customer-specific profiles, reports, charts, exports, and receipts from authorized evidence. Generated files can be inspected in Playground.

Apps and tools used

Connector actions are scoped to this Agent Build. A Project connection does not automatically grant every agent or every action access.

Practical use cases

First setup and baseline

Google Maps lead scrapers can use the template to finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads. The saved setup and evidence files reduce repeated onboarding while keeping unknowns visible.

Best for: google maps lead scrapers.

Focused analysis or production run

Local lead teams can use the template to finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads. The saved setup and evidence files reduce repeated onboarding while keeping unknowns visible.

Best for: local lead teams.

Ongoing review and iteration

Lead generation agencies can use the template to finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads. The saved setup and evidence files reduce repeated onboarding while keeping unknowns visible.

Best for: lead generation agencies.

Safe edge-case handling

Local-business sales teams can use the template to finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads. The saved setup and evidence files reduce repeated onboarding while keeping unknowns visible.

Best for: local-business sales teams.

Example prompts and outputs

Example prompt: core workflow

Find 15 Berlin coffee roasters with four or more stars, a website, and any observed email.

Example output: A clean JSON or CSV lead set with source dates, fit and completeness scores, counts, top matches, and paid options used. The actual numbers, sources, files, and connector receipts depend on the user's authorized data.

Example prompt: safety or limitation check

Inspect the latest actor run before retrying and do not invent missing contact details.

Expected behavior: the agent follows this boundary, preserves useful local work, and does not claim an unsupported or unapproved external action.

Why use this template

• Research happens before questions: the agent inspects Project context, saved setup, and available evidence before requesting unresolved choices.
• The method stays maintainable: detailed repeatable steps live in human-readable skills instead of one oversized agent prompt.
• External actions stay reviewable: connector scopes, approval boundaries, and returned identifiers are explicit.
• Files carry the detail: reports, evidence, drafts, charts, and receipts remain inspectable instead of being lost in a long chat response.
• The workflow remains editable: teams can refine one agent, skill, tool scope, or handoff at a time and retest it.

Frequently asked questions

Is this a fixed automation or an editable template?

This template acts as a starting point: open any agent and use Use AI to help draft or update its instructions—adding new agents or connecting new tools is done manually in the canvas.

What does the Google Maps Web Lead Extractor do?

It finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads. Its primary mission in the workflow is to finds local businesses through Google Maps data, then cleans, deduplicates, scores, and exports outreach-ready leads.

Does it inspect Project context before asking setup questions?

Yes. The first-run method tells the agent to inspect relevant read-only Project files, public evidence when needed, and any reusable agent setup record before asking only for material unknowns.

Does every external action happen automatically?

No. - Never invent a company, email, phone, rating, review count, URL, or social profile. Missing remains missing. - Deduplicate by placeId first, then normalized domain/phone as secondary evidence. Keep one valid JSON array. - Rank fit separately from data completeness and explain the score. - Paid contact enrichment, reviews, and person enrichment are off unless the approved profile requires them. Warn before enabling cost-bearing add-ons. - A failed or thin search should produce a transparent summary and a suggested profile adjustment, not fabricated leads. The agent must preserve useful local work when an optional connection is unavailable.

Which apps and permissions does it need?

The template includes web_search, Apify with the exact allowlisted actions shown above. External accounts still need to be connected in the user's Project before those actions can run.

What happens when a connector is missing or fails?

The agent should complete the supported research, analysis, drafting, or file work, record the gap, and give a clear manual next step. It must not claim a write succeeded without a verifiable connector result.

Can Google Maps be used for lead generation?

Google Maps business data can support local prospect discovery when collection is authorized and cost-capped. This template uses approved Apify actors, preserves source fields, and never fills missing contacts with guesses.

Does this template include a first-time setup file?

Yes. The installed Plan and Run the Lead Search skill includes setup.md where first-run setup is required. It records verified, user-confirmed, inferred, and unknown fields so later runs do not repeat generic onboarding.

Does it install sample data or a template-wide artifact bundle?

No. The methods and setup files install as skills. Customer-specific data and deliverables are created from that customer's Project files, uploads, connected apps, and conversation evidence, which avoids mixing sample data into the workspace.

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