# Jewelry Store Email Scraper (`contacts-api/jewelry-store-email-scraper`) Actor Jewelry store email scraper to extract verified emails from jewelry stores, jewelers, gemstone retailers, luxury boutiques, and jewelry business directories 📧💍✨ Perfect for B2B outreach, wholesale partnerships, marketing campaigns, and jewelry industry lead generation. - **URL**: https://apify.com/contacts-api/jewelry-store-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### 💎 Jewelry Store Email Scraper — Find Verified Jewelers’ Contacts Fast > The fastest way to build a targeted jewelry store email list. This actor searches Google Maps for jewelers and related businesses across any city, crawls their websites, and extracts verified emails, phone numbers, and social media profiles — all in one clean, export-ready dataset. Use this jewelry store email scraper to turn map listings into qualified pipelines for outreach, partnerships, or supplier sales. --- #### 🚀 Quick Start 1. Enter your search term — e.g., "Jewelry Store" or "diamond jeweler" 2. Add one or more target locations — e.g., "New York", "Los Angeles, California" 3. Set your desired number of businesses with emails 4. Hit Run and get contact-rich results in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### 💡 What Is The Jewelry Store Email Scraper? The Jewelry Store Email Scraper is a purpose-built lead generation and contact discovery tool for: - Jewelry wholesalers and distributors - Watch and repair service providers - Marketing agencies and lead gen teams - B2B sales reps targeting retailers and boutiques - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data — producing an accurate, deduplicated jewelry store list ready for immediate use. Whether you need a jewelry store lead finder for new accounts or a jewelry store contact finder for local outreach, this actor handles discovery and extraction in one pass. Use it as your jewelry store email scraper for fast prospecting, or run it as a scalable jewelry store email extractor to enrich your CRM with verified inboxes and phone numbers. --- #### 📦 What Data Does It Extract? | Field | Description | |---|---| | Business Name | Store or company name from Google Maps | | Website | Official website URL | | Phone | Primary phone from the listing or website | | Full Address | Complete address as listed | | City / State / ZIP | Parsed location components | | Country Code | ISO country code where available | | Emails | All public jewelry store email addresses extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter, and more | | Email Count | Total unique emails found per business | | Pages Scraped | Number of website pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total number of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping and filtering | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | --- #### ⚙️ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Jewelry Store", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example With All Options ```json { "googleMapsSearchTerm": "Jewelry Store", "googleMapsLocation": [ "New York", "Los Angeles, California", "Chicago, Illinois" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | ✅ Yes | Business type or niche to search — e.g., "Jewelry Store", "diamond jeweler", "watch repair" | | `googleMapsLocation` | Array | ✅ Yes | One or more locations — e.g., \["New York", "Los Angeles, California"] | | `maxBusinesses` | Number | ❌ No | Max businesses with emails to return (1–1,000). The actor stops when this target is reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the cap per location. If false, it’s a combined total | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs | *** #### 📤 Sample Output ```json [ { "name": "BrightStone Jewelers", "website": "https://www.brightstonejewelers.com", "phone": "+1 212-555-0148", "full_address": "245 W 47th St, New York, NY 10036, United States", "city": "New York", "state": "NY", "zip": "10036", "country_code": "US", "scraped_emails": [ "info@brightstonejewelers.com", "sales@brightstonejewelers.com" ], "scraped_phones": ["+1 212-555-0148", "+1 212-555-0194"], "scraped_social_media": [ "instagram:https://instagram.com/brightstonejewelers", "facebook:https://facebook.com/brightstonejewelers" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.7, "total_reviews": 318, "lat": 40.7592, "long": -73.9835, "place_id": "ChIJEXAMPLEID47th", "scrape_status": "success" } ] ``` *** #### 🔧 How It Works — Under The Hood ``` Step 1 → Search Google Maps using your term + location(s) Step 2 → Collect listing details (name, address, phone, website, coordinates, ratings) Step 3 → Visit each website and crawl key pages (Home, Contact, About, Footer) Step 4 → Extract public emails, phone numbers, and social links Step 5 → Normalize and deduplicate contacts across domains Step 6 → Output structured results ready for export or API consumption ``` The actor can function as both a Jewelry Store Email Scraper (discovery + extraction) and a robust jewelry store data scraper for continuous enrichment and analysis. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint jewelers in any city, state, or region. Build hyper-local pipelines of jewelry store leads with clean addresses, phones, and verified emails. ##### 🔍 Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public jewelry store email and phone number. Acts as a dependable jewelry store email extractor for stores with sparse listings. ##### 🧠 Smart Pattern Matching Detects contact forms, mailto links, and common "info/sales/support" inboxes to increase yield. Ideal when you need a jewelry store lead scraper that doesn’t miss hard-to-find inboxes. ##### 🧹 De-Duplication & Normalization Removes duplicate emails per domain and standardizes phones and links so your CRM stays clean. Perfect for teams using a jewelry store lead finder for ongoing campaigns. ##### 🌎 Multi-Location Scaling Target dozens of markets in one run. Choose a combined cap or a per-location cap to build a balanced jewelry store list across regions. ##### 🛡️ Proxy-Ready For Reliability Built-in proxy support prevents rate limits and blocks during aggressive campaigns — dependable for agencies and suppliers running a jewelry store contact scraper at scale. ##### ⚙️ Configurable Limits Stop at exactly your maxBusinesses target to control spend. Combine this with per-location capping to tailor how your jewelry store contact finder distributes results. ##### 🔄 Schedulable & Repeatable Run daily, weekly, or monthly to refresh your jewelry store leads and keep data current. *** #### 🎯 Use Cases - B2B sales to retailers, boutiques, and watch repair shops — fuel cold outreach with verified inboxes using a jewelry store email finder. - Wholesale gemstone, setting, or packaging suppliers building geo-targeted routes with a jewelry store contact finder. - Marketing agencies launching regional campaigns — produce ready-to-send lists via a jewelry store lead finder and move faster on pitches. - Directory owners and marketplaces enriching profiles with contact and social data from a jewelry store lead scraper. - Academic research or economic studies requiring clean, city-level datasets from a jewelry store data scraper. *** #### 📈 How Many Results Can You Get? Output volume depends on: - Number and size of locations - Breadth of the search term (e.g., “Jewelry Store” vs. “Custom Engagement Rings”) - Website availability and email visibility - maxBusinesses and per-location settings - Proxy configuration and run timeout Typical ranges per campaign: - Small (1–3 cities): 20–100 businesses with emails - Medium (5–15 cities): 200–600 businesses with emails - Large (20+ cities/states): 800–1,000+ per run Run multiple campaigns across regions to continuously grow your jewelry store list without hitting hard platform limits. *** #### 🔌 Integrations & Export Options When your run completes, you can: - Download JSON for full structured output - Export CSV / Excel for spreadsheets and quick filters - Use the Apify API for programmatic access - Trigger Zapier/Make workflows - Configure webhooks to push results to CRMs Plug into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach platform that supports CSV/JSON. This setup pairs well with a jewelry store data scraper pipeline feeding your sales stack. *** #### 🛠️ Step-By-Step Usage Guide 1. Log in to Apify at apify.com (free to start). 2. Open the actor: search for "Jewelry Store Email Scraper" in the Apify Store and click Try for free. 3. Set your search term. Examples: "Jewelry Store", "diamond jeweler", "watch repair", "engagement rings". 4. Add target locations. Examples: "New York", "Miami, Florida", "Dallas, Texas". 5. Set maxBusinesses to control how many businesses with emails you want. 6. Choose scaling strategy: - Combined cap: total across all locations - Per-location cap: independent limit for each city 7. Enable Apify Proxy for stable, large runs. 8. Run and let the Jewelry Store Email Scraper do the work. 9. Export results as JSON/CSV/Excel or pull via API/webhook. *** #### ⚖️ Legal & Compliance This actor collects only publicly available business contact information — emails and phone numbers published openly on websites. Best practices to stay compliant: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website’s robots.txt and Terms of Service - Include an unsubscribe option in all outreach - Follow applicable laws in your jurisdiction Relevant regulations: - GDPR (EU) - CAN-SPAM Act (US) - CASL (Canada) - PECR (UK) This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions Q: Does it collect private or personal emails?\ A: No. It only extracts emails that are publicly visible on business websites — ideal for general inquiry and sales inboxes such as info@ or sales@ jewelry store email addresses. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as you need and use per-location capping to balance results. Q: Does it deduplicate emails and domains?\ A: Yes. Results are normalized and deduplicated so your jewelry store leads are clean before export. Q: Is a proxy required?\ A: Not for small tests, but strongly recommended for 200+ targets to avoid rate limits and ensure reliable coverage with a jewelry store lead scraper. Q: Can this replace manual Google searching?\ A: Absolutely. Manual search is slow and inconsistent. This acts as an automated jewelry store email extractor so you can find contacts at scale in minutes. Q: What niches does the search support?\ A: Any Google Maps-searchable term: “jewelry store”, “custom jeweler”, “gold buyer”, “watch repair”, “diamond dealer”, and more. Q: Can agencies white-label or resell this data?\ A: Yes. Agencies frequently use a jewelry store lead finder to deliver weekly contact updates to clients. Q: Does it gather social media links?\ A: Yes. It captures public links found on websites — Facebook, Instagram, LinkedIn, etc. Handy for multi-channel outreach to jewelry store leads. Q: Is it capable of phone number extraction too?\ A: Yes. It collects both primary and additional phones found during the crawl, complementing your jewelry store contact scraper workflow. Q: Can I integrate this with my CRM?\ A: Yes. Export JSON/CSV or stream via API/webhooks. Many users connect the results from a jewelry store contact finder directly into HubSpot or Salesforce. *** #### ✨ Closing Notes Built for wholesalers, marketers, and outreach teams who need accurate jewelry store leads at scale — fast. Pair this jewelry store email scraper with your existing outreach stack to reach more stores in less time. *** #### 🧑‍💻 Support & Custom Solutions Have a question, feature request, or need a custom build?\ Email: scrapermindapi@gmail.com We’re happy to help with: - Custom input/output configurations - Niche-specific adaptations (e.g., watch repair, gold buyers) - Bulk or enterprise run support - Integration assistance For any help or custom solution, contact via this mail: scrapermindapi@gmail.com # Actor input Schema ## `googleMapsSearchTerm` (type: `string`): Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists'). ## `googleMapsLocation` (type: `array`): Target geographic location for the email scraper (e.g., 'Miami, Florida'). ## `maxBusinesses` (type: `integer`): Target number of businesses to find (1-1000). The scraper will stop when this target is reached. ## `scrapeMaxBusinessesPerLocation` (type: `boolean`): If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Recommended for large-scale scraping. ## Actor input object example ```json { "googleMapsSearchTerm": "Jewelry Store", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "scrapeMaxBusinessesPerLocation": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "googleMapsSearchTerm": "Jewelry Store", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/jewelry-store-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "googleMapsSearchTerm": "Jewelry Store", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/jewelry-store-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "googleMapsSearchTerm": "Jewelry Store", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/jewelry-store-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/jewelry-store-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jewelry Store Email Scraper", "description": "Jewelry store email scraper to extract verified emails from jewelry stores, jewelers, gemstone retailers, luxury boutiques, and jewelry business directories 📧💍✨ Perfect for B2B outreach, wholesale partnerships, marketing campaigns, and jewelry industry lead generation.", "version": "1.0", "x-build-id": "S5md4K4Y14wp95x4X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~jewelry-store-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-jewelry-store-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/contacts-api~jewelry-store-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-jewelry-store-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/contacts-api~jewelry-store-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-jewelry-store-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "googleMapsLocation", "googleMapsSearchTerm" ], "properties": { "googleMapsSearchTerm": { "title": "Search Term", "type": "string", "description": "Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').", "default": "Jewelry Store" }, "googleMapsLocation": { "title": "Location", "type": "array", "description": "Target geographic location for the email scraper (e.g., 'Miami, Florida').", "default": [ "New York" ], "items": { "type": "string" } }, "maxBusinesses": { "title": "Maximum Businesses With Emails", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Target number of businesses to find (1-1000). The scraper will stop when this target is reached.", "default": 5 }, "scrapeMaxBusinessesPerLocation": { "title": "Scrape Max Businesses Per Location", "type": "boolean", "description": "If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Recommended for large-scale scraping." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```