Mmcp.market

google-maps-contact-extract skill

by browser-act·browser-act/skills·6.0k stars·MIT

Extracts business contact details from Google Maps search results and place detail pages, then visits each business website to collect emails, phone numbers, and social media profiles (Facebook, Instagram, Twitter/X, LinkedIn, YouTube, TikTok, Pinterest, Discord). Use when user mentions Google Maps contact extraction, maps email scraper, business lead generation from Google Maps, find emails from maps, scrape Google Maps businesses, maps business contacts, get phone from Google Maps, social media from maps listing, competitor research from maps, local business contact list, maps data export, google maps scraper, extract contacts from google maps, find business email google, gmaps leads, maps email finder, or wants to replicate Google Maps business data extraction.

A100/100content scan

Is the google-maps-contact-extract skill safe?

Clean: nothing in its files matched our rules. We read 4 files in the folder on 2026-09-28.

No findings.

Install the google-maps-contact-extract skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description. 

git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -r /tmp/skills/solutions/lead-generation/google-maps-contact-extract ~/.claude/skills/google-maps-contact-extract
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

Google Maps — Contact Extractor

keyword + location → business list with name/address/phone/website + email/social media/contacts from each business's website

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Search Google Maps by keyword and location, collect place details from each result, visit each business's website to extract emails and social media profiles, and return a merged dataset replicating Google Maps Email Extractor functionality.

Prerequisites

  • For search: navigate to https://www.google.com/maps/search/{keyword}/@{lat},{lng},{zoom}z — the search results sidebar (feed) must be visible
  • For place detail: navigate to the individual place URL https://www.google.com/maps/place/?q=placeid:{placeid} — the place sidebar with name, address, phone must be visible
  • For website contact extraction: navigate to the business's website homepage
  • No login required for Google Maps or most business websites

Pre-execution Checks

1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

Capability Components

This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". It is recommended to use the bash tool for execution. Working directory: all python scripts/ commands must be run from the Skill's root directory (the directory containing SKILL.md and scripts/). Use cd {skill-directory} before running batch scripts, or use absolute paths: python {absolute-path-to-scripts}/xxx.py.

DOM: Search results list — extract business cards from Google Maps search feed

Prerequisite: navigate to and wait for Google Maps search results to load, then extract all visible business cards.

navigate https://www.google.com/maps/search/{keyword}/@{lat},{lng},{zoom}z
wait stable
eval "$(python scripts/search-places.py '{keyword}' --max {max_count})"

Parameters:

  • {keyword}: search term, e.g. coffee shops
  • --max: maximum number of places to extract, default 20
  • {lat},{lng}: center coordinates, e.g. 40.7580,-73.9855
  • {zoom}: zoom level, e.g. 14

Output example:

{
  "keyword": "coffee shops",
  "count": 20,
  "places": [
    {
      "name": "Blue Dove Coffee",
      "rating": 4.8,
      "review_count": "292",
      "category": "Coffee shop",
      "price_range": null,
      "phone": null,
      "open_status": "Closed · Opens 7 AM",
      "place_id": "0xa5922b78cc420fb1:0x535506dc9cdb2cec",
      "lat": 40.7368708,
      "lng": -73.9909297,
      "maps_url": "https://www.google.com/maps/place/Blue+Dove+Coffee/data=..."
    }
  ]
}

Pagination: Google Maps loads ~20 results per view. Scroll down in the results panel to trigger loading of additional results, then re-run the extraction script. Repeat until desired count is reached.

scroll down --amount 3000
wait stable
eval "$(python scripts/search-places.py '{keyword}' --max {total_count})"

DOM: Place detail — extract full business info from a Google Maps place page

Prerequisite: navigate to the place page and wait for the sidebar to load with name, address, and phone visible.

navigate https://www.google.com/maps/place/?q=place_id:{place_id}
wait stable
wait --selector "h1" --state visible --timeout 15000
eval "$(python scripts/place-detail.py)"

Alternatively, navigate directly using the maps_url returned from the search results component.

Output example:

{
  "place_id": "0xa5922b78cc420fb1:0x535506dc9cdb2cec",
  "name": "Blue Dove Coffee",
  "rating": 4.8,
  "review_count": 292,
  "category": "Coffee shop",
  "address": "33 Union Square W, New York, NY 10003",
  "located_in": null,
  "phone": "(646) 939-0937",
  "website": "https://www.bluedovecoffee.com/",
  "menu_url": "https://order.dripos.com/Blue-Dove-Coffee",
  "price_range": "$1–10",
  "coordinates": { "lat": 40.7368708, "lng": -73.9909297 },
  "hours": [
    "Monday7 AM–5 PM",
    "Tuesday7 AM–5 PM",
    "Wednesday7 AM–5 PM",
    "Thursday7 AM–5 PM",
    "Friday7 AM–5 PM",
    "Saturday7 AM–5 PM",
    "Sunday7 AM–4 PM"
  ],
  "service_options": ["Serves dine-in", "Offers takeout", "Offers delivery"],
  "amenities": ["Has wheelchair accessible entrance", "Accepts credit cards", "Accepts NFC mobile payments"],
  "maps_url": "https://www.google.com/maps/place/..."
}

DOM: Website contacts — extract emails, phones, social media from a business website

Prerequisite: navigate to the business website homepage.

navigate {website_url}
wait stable
eval "$(python scripts/extract-contacts.py --depth shallow)"

For deeper extraction (also scans contact/about subpages), use --depth deep. After running with --depth deep, check contact_subpages in the output, then navigate to each and re-run:

navigate {subpage_url}
wait stable
eval "$(python scripts/extract-contacts.py --depth shallow)"

Parameters:

  • --depth: shallow (homepage only, default) or deep (also discovers and lists contact/about subpage URLs)

Output example:

{
  "source_url": "https://www.bluedovecoffee.com/",
  "emails": ["support@bluedovecoffee.com", "careers@bluedovecoffee.com", "orders@bluedovecoffee.com"],
  "phone_numbers": [],
  "social_media": {
    "facebook": ["https://www.facebook.com/people/Blue-Dove-Coffee/100094867009022"],
    "instagram": ["https://www.instagram.com/bluedovecoffee"],
    "tiktok": ["https://www.tiktok.com/@bluedovecoffee"]
  },
  "contact_subpages": []
}

Composite: Full pipeline — search + place details + website contacts

Complete flow replicating Google Maps Email Extractor:

  1. Navigate to Google Maps search:
navigate https://www.google.com/maps/search/{keyword}/@{lat},{lng},{zoom}z
   wait stable
   eval "$(python scripts/search-places.py '{keyword}' --max {max_count})"

Save list of places (especially name, mapsurl, placeid).

  1. For each place: navigate to place detail page and extract full info:
navigate {maps_url}
   wait stable
   wait --selector "h1" --state visible --timeout 15000
   eval "$(python scripts/place-detail.py)"

Collect website, phone, address, hours, rating, etc.

  1. For each place with a website value: extract contacts from the website:
navigate {website}
   wait stable
   eval "$(python scripts/extract-contacts.py --depth deep)"

For each URL in contact_subpages, navigate and extract again to find additional emails.

  1. Merge results: join by place_id or name. Final record per business:
{
     "name": "Blue Dove Coffee",
     "address": "33 Union Square W, New York, NY 10003",
     "phone": "(646) 939-0937",
     "website": "https://www.bluedovecoffee.com/",
     "rating": 4.8,
     "review_count": 292,
     "category": "Coffee shop",
     "coordinates": { "lat": 40.7368708, "lng": -73.9909297 },
     "hours": ["Monday7 AM–5 PM", "..."],
     "service_options": ["Serves dine-in", "Offers takeout"],
     "emails": ["support@bluedovecoffee.com"],
     "social_media": {
       "instagram": ["https://www.instagram.com/bluedovecoffee"],
       "tiktok": ["https://www.tiktok.com/@bluedovecoffee"]
     }
   }

Pagination

DOM Pagination: Google Maps search loads ~20 results initially. Scroll down in the sidebar:

scroll down --amount 3000
wait stable
eval "$(python scripts/search-places.py '{keyword}' --max {total_count})"

Repeat until the desired number of results is reached. Termination: Google Maps typically shows up to ~120 results per search; the sidebar will show "You've reached the end of the results" or stop loading new items.

Success Criteria

  • places.count >= 1 from search results extraction
  • Place detail returns name != null AND (address != null OR phone != null)
  • Website contact extraction returns emails.length + phonenumbers.length + Object.keys(socialmedia).length >= 0 (no contacts = valid result for businesses without public contact info)

Known Limitations

  • Google Maps search results are limited to approximately 120 businesses per search query; to get more, use more specific sub-area searches
  • Phone numbers on the Google Maps search list card are not always shown; place-detail.py on the individual place page is more reliable
  • Website contact extraction depends on the business's website structure; sites using image-based emails or obfuscated text will return no emails
  • Some businesses do not have a website listed on Google Maps; those cannot be enriched with contact data
  • Google Maps may throttle requests if too many place pages are navigated in rapid succession; add 1–2 second delays between place navigations in batch scripts

Execution Efficiency

More skills from browser-act/skills

  • A1688-product-detailExtracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.
  • Aairbnb-listing-detailFetches complete Airbnb listing details for a given numeric listing ID via the internal GraphQL API, returning title, room type, description, amenities, photos, coordinates, city, house rules, highlights, ratings, review count, bedroom configuration, and property overview. Use when user mentions Airbnb listing details, Airbnb property info, Airbnb room details, get Airbnb listing data, Airbnb amenities list, Airbnb house rules, Airbnb property description, Airbnb detail page scraper, Airbnb rooms detail, Airbnb property page data, Airbnb listing info, fetch Airbnb room details, pull Airbnb listing.
  • Aairbnb-search-listingExtracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page extraction, Airbnb search by destination.
  • Aamazon-alexa-qaAmazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.
  • Aamazon-asin-lookup-api-skillThis skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.
  • Aamazon-best-selling-products-finder-api-skillThis skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.
  • Aamazon-bestseller-listingAmazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page — returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and pagination state (currentPage, hasNextPage, nextPageUrl). Works across all Amazon regional TLDs (amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, etc.). Use when user mentions Amazon Best Sellers, Amazon bestsellers, Amazon top 100, Amazon zgbs, Amazon /zgbs/, Amazon /gp/bestsellers/, Amazon Best Sellers Rank, Amazon BSR, Amazon top ranked products, Amazon top-selling products, Amazon chart, Amazon category ranking, Amazon best sellers by category, Amazon best sellers electronics, Amazon best sellers kitchen, Amazon best sellers toys, scrape Amazon bestsellers, extract Amazon top 100, Amazon rank scraper, Amazon best seller list, Amazon leaderboard, Amazon trending products, discover trending Amazon products, Amazon niche discovery, Amazon top ranked ASINs. Also applies to competitive intelligence via ranking snapshots, spotting up-and-coming products, sourcing bestseller ASINs for further enrichment, tracking rank changes over time, and building bestseller-per-category datasets.
  • Aamazon-buy-box-monitor-api-skillThis skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods for competitors, compare Amazon product prices across different sellers, retrieve Amazon buy box availability status, analyze Amazon seller profile details.
  • Aamazon-competitor-analyzerScrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
  • Aamazon-listing-competitor-analysis-skillThis skill helps users analyze Amazon competitor listings by ASIN and produce structured competitive intelligence plus strategic opportunity points for their own go-to-market. The Agent should proactively apply this skill when users want to analyze a competitor Amazon listing by ASIN, understand what a top-ranked product does right in content keywords or visuals, find market gaps and unmet buyer needs, turn competitor research into opportunity maps for their brand, identify keyword placement patterns on rival listings, extract SEO insights from Amazon product pages, reverse-engineer competitor bullet and title strategies, mine competitor reviews for buyer psychology, compare seller and A plus content patterns, run gap analysis before launching a new SKU, research why a listing wins conversion signals, synthesize whitespace you can own versus the diagnosed listing, or say just look at this ASIN with a competitive or optimization angle.
  • Aamazon-product-api-skillThis skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists.
  • Aamazon-product-detailAmazon product detail page scraper: extract full product data from any open Amazon product detail URL (any /dp/{asin} or /gp/product/{asin} page across all Amazon regional TLDs) — returns asin, url, title, brand, price, listPrice, stars, reviewsCount, starsBreakdown (5/4/3/2/1 star percentages), answeredQuestions, inStock, inStockText, delivery, fastestDelivery, returnPolicy, breadCrumbs, features (bullet points), description, bookDescription, thumbnailImage, highResolutionImages, galleryThumbnails, productOverview (Brand/Model/etc.), attributes (tech spec table), attributesMapped (flat key-value), bestsellerRanks (rank + category + url), variantAttributes (currently selected color/size/style), variantAsins, seller (name + id + url), isAmazonChoice, amazonChoiceText, monthlyPurchaseVolume, hasAPlusContent, hasBrandStory, aiReviewsSummary, reviewsLink, productPageReviews (sample), videosCount, locationText, loadedCountryCode. Works on amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, amazon.com.mx, amazon.com.br, amazon.nl, amazon.se, amazon.sg, amazon.ae, amazon.sa, amazon.pl, amazon.tr, amazon.eg. Use when user mentions Amazon product page, Amazon /dp/, Amazon dp URL, Amazon ASIN scraper, Amazon product detail, Amazon PDP, Amazon product data, Amazon product info, Amazon product fields, Amazon product attributes, Amazon full field extraction, Amazon per-ASIN enrichment, Amazon rating breakdown, Amazon stars breakdown, Amazon bestseller rank, Amazon BSR, Amazon variants, Amazon variant ASINs, Amazon color size options, Amazon feature bullets, Amazon A+ content, Amazon brand story, Amazon AI review summary, Amazon bought in past month, Amazon monthly sales volume, Amazon Amazon's Choice badge, Amazon seller info, scrape Amazon product, enrich Amazon ASIN, Amazon ASIN details, Amazon product review data. Also applies to bulk ASIN enrichment from a list of URLs, competitive product research, brand catalog audits, price and stock monitoring per ASIN, and building a normalized product dataset from a list of Amazon URLs.

All agent skills → · MCP servers