gmaps-leads
Skill16 starsChanged 9 months agoMITView on GitHub
Scrape Google Maps for B2B leads with deep website enrichment and contact extraction. Use when user asks to find local businesses, scrape Google Maps, generate contractor lists, or build local service business databases.
- Reads credentials
3 other projects use a version of this, 3 of them edited.
Adopted by
Most recently taken up by
- MohamedEssam0-0/claude-skillsedited, first seen Oct 11, 2026
- phuongdo/claude-skillsedited, first seen Feb 17, 2026
- nickjwells/skills-workspaceedited, first seen Feb 1, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 3
- nickjwells/skills-workspace★ 2897% same
- MohamedEssam0-0/claude-skills★ 097% same
- phuongdo/claude-skills★ 097% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 78
Auth issues: Delete token.json and re-authenticate
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Google Maps Lead Generation
Goal
Generate high-quality B2B leads from Google Maps with deep contact enrichment by scraping websites and using Claude to extract structured contact data.
Inputs
| Parameter | Required | Description |
--search | Yes | Search query (e.g., "plumbers in Austin TX") |
--limit | No | Max results (default: 10) |
--sheet-url | No | Existing sheet to append to |
--workers | No | Parallel workers (default: 3) |
Scripts
./scripts/gmaps_lead_pipeline.py- Main orchestration./scripts/gmaps_parallel_pipeline.py- Parallel version./scripts/scrape_google_maps.py- Google Maps scraper./scripts/extract_website_contacts.py- Website contact extractor./scripts/update_sheet.py- Google Sheets sync
Process
Basic Usage
# Create new sheet with 10 leads
python3 ./scripts/gmaps_lead_pipeline.py --search "plumbers in Austin TX" --limit 10
# Append to existing sheet (recommended for building database)
python3 ./scripts/gmaps_lead_pipeline.py --search "dentists in Miami FL" --limit 25 \
--sheet-url "https://docs.google.com/spreadsheets/d/..."
# Higher volume
python3 ./scripts/gmaps_lead_pipeline.py --search "roofing contractors in Austin TX" \
--limit 50 --workers 5Pipeline Steps
- Google Maps Scrape - Apify
compass/crawler-google-placesreturns listings - Website Scraping - Fetches main page + up to 5 contact pages
- Web Search Enrichment - DuckDuckGo search for owner contact info
- Claude Extraction - Claude 3.5 Haiku extracts structured contacts
- Google Sheet Sync - Appends new leads, deduplicates by lead_id
Output Schema (36 fields)
Business Basics: business_name, category, address, city, state, zip_code, phone, website, rating, review_count
Extracted Contacts: emails, additional_phones, business_hours
Social Media: facebook, twitter, linkedin, instagram, youtube, tiktok
Owner Info: owner_name, owner_title, owner_email, owner_phone, owner_linkedin
Team Contacts: JSON array of team members
Metadata: lead_id, scraped_at, search_query, pages_scraped, enrichment_status
Cost
| Component | Per Lead |
| Apify Google Maps | ~$0.01-0.02 |
| Claude Haiku | ~$0.002 |
| DuckDuckGo/HTTP | Free |
| Total | ~$0.012-0.022 |
For 100 leads: ~$1.50-2.50 total
Troubleshooting
- "No businesses found": Include location in query
- 403 Forbidden: ~10-15% of sites block scrapers (handled gracefully)
- Auth issues: Delete
token.jsonand re-authenticate - Duplicates: Uses lead_id (MD5 of name|address) for deduplication
Environment
APIFY_API_TOKEN=your_token
ANTHROPIC_API_KEY=your_keySchema
Inputs
| Name | Type | Required | Description |
search | string | Yes | Search query (e.g., 'plumbers in Austin TX') |
limit | integer | No | Max results (default: 10) |
sheet_url | string | No | Existing sheet to append to |
workers | integer | No | Parallel workers (default: 3) |
Outputs
| Name | Type | Description |
sheet_url | string | Google Sheet URL with 36-field lead data |
lead_count | integer | Number of leads scraped |
Credentials
| Name | Source |
APIFY_API_TOKEN | .env |
ANTHROPIC_API_KEY | .env |
Composable With
Skills that chain well with this one: classify-leads, casualize-names, instantly-campaigns, onboarding-kickoff
Cost
$0.012-0.022 per lead
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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