Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gmapsscraper/google-maps-agent-skills --skill business-email-extractorgit clone --depth 1 https://github.com/gmapsscraper/google-maps-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gmapsscraper/google-maps-agent-skills/business-email-extractor)<a href="https://agentmods.dev/skills/gmapsscraper/google-maps-agent-skills/business-email-extractor"><img src="https://agentmods.dev/badge/skills/gmapsscraper/google-maps-agent-skills/business-email-extractor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gmapsscraper/google-maps-agent-skills/business-email-extractor"><img src="https://agentmods.dev/badge/skills/gmapsscraper/google-maps-agent-skills/business-email-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.01185 |
| Opus 5 | $0.00015 | $0.00593 |
| Sonnet 5 | $0.00006 | $0.00237 |
| Haiku 4.5 | $0.00003 | $0.00119 |
Grade A, and why
business-email-extractor scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Email Extractor
Extract business email addresses from Google Maps at scale. Find verified contact emails for any industry and location — ready for outreach campaigns.
When to Use
- User needs business email addresses for outreach
- User asks to "find emails" for businesses in an area
- User wants to build an email list for cold outreach
- User needs contact information for a specific industry
Important: Credit System
Each extraction costs 2 credits. Free accounts get 10 credits (5 extractions).
Email extraction uses deep website crawling — always enable email: true.
Workflow
Step 1: Define Target
Ask the user:
- Industry: What businesses to target?
- Location: Where?
- Volume: How many emails needed?
- Quality preference: Only custom domains? Or include generic (info@)?
Step 2: Optimize for Email Coverage
Tips to maximize emails per credit:
- Professional services (lawyers, accountants) have 60-80% email coverage
- Restaurants/retail have lower coverage (30-50%)
- Always use
depth: 2+email: truefor maximum extraction
Step 3: Confirm
✉️ Email Extraction:
Target: {{industry}} in {{location}}
Expected emails: 15-50 (depending on industry)
Cost: 2 credits
Proceed?
Step 4: Extract
curl -X POST "https://gmapsscraper.io/api/v1/jobs" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $GMAPS_SCRAPER_API_KEY" \
-d '{
"name": "Emails: {{industry}} in {{location}}",
"keywords": ["{{industry}} in {{location}}"],
"lang": "en",
"depth": 2,
"email": true
}'
Step 5: Download & Filter Emails
curl -s "https://gmapsscraper.io/api/v1/jobs/{{job_id}}/download" \
-H "Authorization: Bearer $GMAPS_SCRAPER_API_KEY" \
--output raw_results.csv
Quality filtering:
| Quality | Pattern | Action |
|---|---|---|
| ⭐⭐⭐ High | [email protected], domain matches website | Use first |
| ⭐⭐ Medium | [email protected], custom domain | Good for outreach |
| ⭐ Low | @gmail.com, @yahoo.com | Use with caution |
| ❌ Remove | noreply@, no-reply@, invalid format | Skip |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 156 lines · 30 tokens per session scan A 37a1353bb838
business-email-extractor is a skill published in the GitHub repository gmapsscraper/google-maps-agent-skills (129 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 1,185 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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