# Ecommerce & Website Leads Database: 52M+ Sites, Emails & Phones (`apivault_labs/website-leads-database`) Actor Bulk B2B website leads from WordPress, Shopify, WooCommerce, Magento & more. Filter by country, keyword, email, phone or 59 columns. Verified emails, phones & socials. 1 site = 1 row. - **URL**: https://apify.com/apivault\_labs/website-leads-database.md - **Developed by:** [Apivault Labs](https://apify.com/apivault_labs) (community) - **Categories:** Lead generation, E-commerce, Marketing - **Stats:** 17 total users, 11 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.50 / 1,000 website leads This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Ecommerce & Website Leads Database — 36M Sites, Emails, Phones, Tech Stack The largest pre-built B2B website leads database on Apify. **52 million sites** across 13 ecommerce and CMS platforms — enriched with verified emails, phone numbers, social profiles, tech stack, firmographics and geo. New records are added daily and existing ones are re-enriched on a rolling basis. > **1 site = 1 row.** Pick platforms, apply filters, choose columns, export. No scraping, no wait — instant results from a live database. --- ### Platforms (13) | Platform | Sites | Description | |----------|------:|-------------| | **WordPress** | 12.0M | Sites built on WordPress CMS | | **Wix** | 8.9M | Websites and stores built on Wix | | **Shopify** | 7.0M | Shopify storefronts worldwide | | **WooCommerce** | 6.5M | WordPress + WooCommerce stores | | **ASP.NET** | 4.6M | Sites on the Microsoft ASP.NET stack | | **Mastercard** | 4.6M | Merchants accepting Mastercard online | | **WooCommerce Checkout** | 3.5M | WooCommerce sites with active checkout | | **Squarespace** | 2.9M | Squarespace-powered sites with ecommerce | | **Mailchimp** | 920K | Sites using Mailchimp for email marketing | | **Joomla** | 770K | Sites built on Joomla CMS | | **PrestaShop** | 174K | PrestaShop ecommerce stores | | **Magento** | 105K | Magento / Adobe Commerce stores | | **BigCommerce** | 37K | BigCommerce storefronts | Select **All platforms** (default) or pick one or more. --- ### What you get per site (59 fields) - **Domain & company** — Root Domain, Primary Domain, Company, Vertical - **Contact data** — Emails (verified), Telephones (international format), Owner/People - **Social profiles** — Facebook, Instagram, LinkedIn, X/Twitter, TikTok, YouTube, Pinterest, GitHub, Vimeo, Threads, Weibo, Vk - **Firmographics** — Sales Revenue, Employees, SKU count, Technology Spend, Ticker - **Tech stack** — eCommerce Platform, CMS Platform, CRM Platform, Marketing Automation, Payment Platforms, Hosting Provider, AI tools - **Rankings & performance** — Overall Score, Tranco, Page Rank, Majestic, Umbrella, CRuX Rank, Cloudflare Rank, Performance, Accessibility, SEO, Best Practices - **Geo** — City, State, Zip, Country - **Dates** — First Detected, Last Found, First Indexed, Last Indexed - **Other** — Has Ads, Agency, Compliance, Exclusion, Verified Profiles Leave **Output columns** empty to get all 59 fields (fully enriched rows), or select only the ones you need. --- ### Filters Narrow your results without re-running or paying more: | Filter | How it works | |--------|--------------| | **Countries** | One or more ISO-2 codes (DE, US, IT…) | | **Keyword** | Substring match in domain or company name | | **Only with email** | Skip sites without a verified email | | **Only with phone** | Skip sites without a phone number | | **Phone country code** | E.g. `+44` — keeps sites with at least one matching phone | | **Extra filters** | JSON conditions on ANY column — equals, contains, starts_with, in_list, not_empty and more (9 operators). Combine multiple conditions with AND. | #### Example extra filter ```json [ { "column": "Payment Platforms", "operator": "contains", "value": "PayPal" }, { "column": "City", "operator": "equals", "value": "Berlin" } ] ```` *** ### Sorting & limits - **Sort by** — Overall Score, Tranco, Sales Revenue, Employees, Technology Spend, Page Rank, SKU, Performance, SEO, Last Found. Get the **top leads** instead of a random slice. - **Max rows** — up to 100,000 per run. - **Deduplicate by domain** — no repeated Root Domain values. - **Count only** — preview how many sites match your filters before exporting (costs almost nothing). *** ### Output example ```json [ { "Root Domain": "ripcurl.com.au", "Company": "Rip Curl", "Country": "AU", "City": "Torquay", "Emails": "estore@ripcurl.com.au;service_centre@ripcurl.com.au", "Telephones": "+61-3-0098-9014", "eCommerce Platform": "Shopify", "Sales Revenue": "$50M-$100M", "Employees": "1,001-5,000", "Overall Score": "87", "_platform": "Shopify" }, { "Root Domain": "seawitchcandles.co.uk", "Company": "Sea Witch Candles", "Country": "GB", "City": "Penzance", "Emails": "info@seawitchcandles.co.uk", "Telephones": "+44-1736-731035", "eCommerce Platform": "Shopify", "Sales Revenue": "", "Employees": "", "Overall Score": "", "_platform": "Shopify" } ] ``` > `_platform` field appears only when multiple platforms are queried. Leave **Output columns** empty to receive all 59 fields. *** ### Export (CSV / JSON / XML / Excel) Every run stores results in a dataset. Download in any format — no re-run needed: - **In the app:** open the run → Storage / Export → pick format. - **Via API:** `https://api.apify.com/v2/datasets/{datasetId}/items?format=csv` (also `json`, `xml`, `xlsx`, `html`, `jsonl`). *** ### Use cases - **Web agencies** — find businesses on outdated platforms, pitch redesigns - **SaaS sales** — target stores by tech stack, revenue or employee count - **Lead generation** — bulk export emails + phones filtered by country and vertical - **Market research** — analyze platform market share, payment adoption, geo distribution - **SEO & marketing** — discover sites by performance score, ranking, ad presence *** ### Data freshness The database is updated continuously. New sites are added daily from platform discovery crawls, and existing records are re-enriched on a rolling schedule (contact info, tech stack, rankings). The `Last Found` and `Last Indexed` columns tell you exactly when each record was last refreshed. *** ### Local run ```bash pip install -r requirements.txt set NEON_SHARDS= python -m src ``` *** ### Limitations - `keyword` uses `ILIKE '%...%'` (full table scan, no substring index). The LIMIT cuts early, but a rare keyword can scan a whole shard. - No cross-platform deduplication (shards within one platform do not overlap). - LIVE streams and non-video TikTok content are not applicable to this actor. # Actor input Schema ## `platforms` (type: `array`): Which platform tables to pull sites from. Leave empty to search ALL platforms. ## `columns` (type: `array`): Which fields to return. Leave empty to return ALL columns (fully enriched rows). 1 site = 1 row. ## `sortBy` (type: `string`): Order rows by this column before applying the limit, so you get the top leads instead of an arbitrary slice. Empty — no ordering. ## `country` (type: `array`): One or more ISO-2 country codes, e.g. DE, IT, US. Type each code and press Enter. Empty — no country filter. ## `keyword` (type: `string`): Substring in domain or company name (ILIKE). Empty — no filter. ## `phoneCode` (type: `string`): E.g. +1 or +44. Keeps sites where AT LEAST ONE phone starts with this code. Empty — no filter. ## `filters` (type: `array`): Array of conditions on ANY of the 59 columns. Each item: {"column": "City", "operator": "contains", "value": "Milano"}. Operators: equals, not\_equals, contains, not\_contains, starts\_with, ends\_with, in\_list (comma-separated), not\_empty, empty. Conditions are combined with AND. ## `hasEmail` (type: `boolean`): Keep only sites where the Emails column is not empty. ## `hasPhone` (type: `boolean`): Keep only sites where the Telephones column is not empty. ## `sortDesc` (type: `boolean`): Highest values first (recommended for scores/traffic/revenue). ## `dedupeByDomain` (type: `boolean`): Do not output repeated Root Domain values (within the selection window). ## `countOnly` (type: `boolean`): Do not export rows; return the number of matches per platform and total. ## `maxItems` (type: `integer`): Upper limit on the number of returned rows (across all platforms combined). Max 100000. ## `offset` (type: `integer`): Skip the first N matching rows, then return the next batch. Use it to page through results across runs without paying for the same rows twice (run 1: offset 0, run 2: offset 1000, …). Set a Sort by column for stable pagination. ## Actor input object example ```json { "platforms": [ "all" ], "hasEmail": false, "hasPhone": false, "sortDesc": true, "dedupeByDomain": false, "countOnly": false, "maxItems": 1000, "offset": 0 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("apivault_labs/website-leads-database").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 = {} # Run the Actor and wait for it to finish run = client.actor("apivault_labs/website-leads-database").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 '{}' | apify call apivault_labs/website-leads-database --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apivault_labs/website-leads-database", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ecommerce & Website Leads Database: 52M+ Sites, Emails & Phones", "description": "Bulk B2B website leads from WordPress, Shopify, WooCommerce, Magento & more. Filter by country, keyword, email, phone or 59 columns. Verified emails, phones & socials. 1 site = 1 row.", "version": "0.2", "x-build-id": "VIzEfBm9J03U9k9SN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apivault_labs~website-leads-database/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apivault_labs-website-leads-database", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apivault_labs~website-leads-database/runs": { "post": { "operationId": "runs-sync-apivault_labs-website-leads-database", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apivault_labs~website-leads-database/run-sync": { "post": { "operationId": "run-sync-apivault_labs-website-leads-database", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "platforms": { "title": "Platforms", "uniqueItems": true, "type": "array", "description": "Which platform tables to pull sites from. Leave empty to search ALL platforms.", "items": { "type": "string", "enum": [ "all", "wordpress_sites", "wix_sites", "shopify_sites", "woocommerce_sites", "woocommerce_checkout_sites", "aspnet_sites", "mastercard_sites", "squarespace_addtocart_sites", "mailchimp_sites", "joomla_sites", "prestashop_sites", "magento_sites", "bigcommerce_sites" ], "enumTitles": [ "All platforms", "WordPress", "Wix", "Shopify", "WooCommerce", "WooCommerce Checkout", "ASP.NET", "Mastercard", "Squarespace", "Mailchimp", "Joomla", "PrestaShop", "Magento", "BigCommerce" ] }, "default": [ "all" ] }, "columns": { "title": "Output columns", "uniqueItems": true, "type": "array", "description": "Which fields to return. Leave empty to return ALL columns (fully enriched rows). 1 site = 1 row.", "items": { "type": "string", "enum": [ "Root Domain", "Location on Site", "Primary Domain", "Technology Spend", "Sales Revenue", "Social", "Employees", "SKU", "Company", "Vertical", "Tranco", "Page Rank", "Majestic", "Umbrella", "Overall Score", "Performance", "Accessibility", "SEO", "Best Practices", "Telephones", "Emails", "X", "Twitter", "TikTok", "Weibo", "Threads", "Facebook", "LinkedIn", "Google", "Pinterest", "GitHub", "Instagram", "Vk", "Vimeo", "YouTube", "People", "Ticker", "Verified Profiles", "City", "State", "Zip", "Country", "First Detected", "Last Found", "First Indexed", "Last Indexed", "eCommerce Platform", "CMS Platform", "CRM Platform", "Marketing Automation Platform", "Payment Platforms", "CRuX Rank", "Cloudflare Rank", "Agency", "Has Ads", "Hosting Provider", "AI", "Exclusion", "Compliance" ] } }, "sortBy": { "title": "Sort by", "enum": [ "Overall Score", "Tranco", "Page Rank", "Sales Revenue", "Employees", "Technology Spend", "SKU", "Performance", "SEO", "Last Found" ], "type": "string", "description": "Order rows by this column before applying the limit, so you get the top leads instead of an arbitrary slice. Empty — no ordering." }, "country": { "title": "Countries (ISO-2)", "uniqueItems": true, "type": "array", "description": "One or more ISO-2 country codes, e.g. DE, IT, US. Type each code and press Enter. Empty — no country filter.", "items": { "type": "string" } }, "keyword": { "title": "Keyword", "type": "string", "description": "Substring in domain or company name (ILIKE). Empty — no filter." }, "phoneCode": { "title": "Phone country code", "type": "string", "description": "E.g. +1 or +44. Keeps sites where AT LEAST ONE phone starts with this code. Empty — no filter." }, "filters": { "title": "Extra filters (any columns)", "type": "array", "description": "Array of conditions on ANY of the 59 columns. Each item: {\"column\": \"City\", \"operator\": \"contains\", \"value\": \"Milano\"}. Operators: equals, not_equals, contains, not_contains, starts_with, ends_with, in_list (comma-separated), not_empty, empty. Conditions are combined with AND." }, "hasEmail": { "title": "Only with email", "type": "boolean", "description": "Keep only sites where the Emails column is not empty.", "default": false }, "hasPhone": { "title": "Only with phone", "type": "boolean", "description": "Keep only sites where the Telephones column is not empty.", "default": false }, "sortDesc": { "title": "Sort descending", "type": "boolean", "description": "Highest values first (recommended for scores/traffic/revenue).", "default": true }, "dedupeByDomain": { "title": "Deduplicate by domain", "type": "boolean", "description": "Do not output repeated Root Domain values (within the selection window).", "default": false }, "countOnly": { "title": "Count only", "type": "boolean", "description": "Do not export rows; return the number of matches per platform and total.", "default": false }, "maxItems": { "title": "Max rows", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Upper limit on the number of returned rows (across all platforms combined). Max 100000.", "default": 1000 }, "offset": { "title": "Offset (skip first N)", "minimum": 0, "type": "integer", "description": "Skip the first N matching rows, then return the next batch. Use it to page through results across runs without paying for the same rows twice (run 1: offset 0, run 2: offset 1000, …). Set a Sort by column for stable pagination.", "default": 0 } } }, "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 } } } } } } } } } } ```