# Brand Store Locator & Stockist Scraper (`tpa_d/beauty-stockist-radar`) Actor Scrape public brand store locators, stockist/where-to-buy pages, retailer lists, and dealer locators into clean location rows for ecommerce, retail, beauty, and DTC market intelligence. - **URL**: https://apify.com/tpa\_d/beauty-stockist-radar.md - **Developed by:** [The Product Analyst Data](https://apify.com/tpa_d) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 stockist / location rows 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 ## Brand Store Locator & Stockist Scraper (Beauty, Retail, DTC) 🛒📍 Scrape public **brand store locators**, **stockist / where-to-buy pages**, **retailer lists**, and **dealer locator pages** into clean location rows. Use it to answer the buyer questions that actually matter: *Where is this brand sold? Which chains carry it? Which markets are under-covered? Which stores, salons, retailers, or distributors should I target next?* ### What you get - **Store locator extraction** — business / stockist name, address, city, state, postal code, phone, coordinates, and source URL. - **Stockist and where-to-buy coverage** — works with public store-locator pages, Stockist-powered widgets, JSON-LD locations, embedded location arrays, and retailer links where available. - **Retail chain normalization** — common retailers like Sephora, Ulta, Nordstrom, Sally Beauty, Target, Walmart, SalonCentric, CosmoProf, Amazon, and more are normalized when possible. - **Metro-area searches** — query Stockist-style map widgets by city, latitude/longitude, and radius. - **Lead-generation ready rows** — export to CSV, Excel, Google Sheets, JSON, or the Apify API for sales, distribution, territory, and market-research workflows. - **Diagnostics instead of silent failure** — unsupported, blocked, or empty locator pages can emit diagnostic rows so you know what happened. ### Best use cases - Scrape a brand's public **store locator** into a location dataset. - Map a competitor's retail footprint by city, state, or chain. - Find distribution gaps where a brand is missing stores, chains, or dealers. - Build prospect lists for retail buyers, distributors, field reps, wholesale teams, and agencies. - Monitor public stockist / where-to-buy pages over time. - Analyze beauty, wellness, DTC, retail, salon, and ecommerce distribution coverage. ### Buyer-ready offer > Send 1-3 brand store-locator or where-to-buy URLs. I’ll return a clean location spreadsheet showing where the brand is sold by city, state, chain, and market. Best buyers: brands, distributors, wholesale teams, retail analysts, agencies, and local operators comparing retail footprint or distribution gaps. ### Input example ```json { "brandUrls": [ "https://patternbeauty.com/pages/store-locator", "https://olaplex.com/pages/certified-stylists" ], "searchAreas": [ { "label": "New York, NY", "latitude": 40.7128, "longitude": -74.0060, "radiusMiles": 25 }, { "label": "Los Angeles, CA", "latitude": 34.0522, "longitude": -118.2437, "radiusMiles": 25 }, { "label": "Atlanta, GA", "latitude": 33.7490, "longitude": -84.3880, "radiusMiles": 25 }, { "label": "Chicago, IL", "latitude": 41.8781, "longitude": -87.6298, "radiusMiles": 25 } ], "maxResultsPerBrand": 100, "maxPagesPerBrand": 6, "includeDiagnostics": true, "mode": "stockist" } ```` | Field | What it controls | |---|---| | `brandUrls` **required** | Brand homepages or direct store-locator / stockist / where-to-buy / dealer-locator URLs. Direct locator URLs work best. | | `searchAreas` | Metro areas used to query map widgets. Add more cities for wider coverage. | | `maxResultsPerBrand` | Maximum deduplicated location rows per brand. | | `maxPagesPerBrand` | Maximum candidate pages to fetch for each brand while discovering locator pages. | | `includeDiagnostics` | Emit diagnostic rows for unsupported, blocked, or empty locators. | | `mode` | Use `stockist` for retail / where-to-buy / store-locator output. | ### Sample output Representative rows from a verified cloud run: | Brand | Stockist / Store | Type | Address | Provider | |---|---|---|---|---| | Patternbeauty | Sephora World Trade Centr | chain retailer | 185 Greenwich Street, Suite LL4305 (C2), New York, NY 10007 | `stockist` | | Patternbeauty | Sephora Downtown Brooklyn | chain retailer | 210 Joralemon Street, Brooklyn, NY 11201 | `stockist` | | Patternbeauty | Nordstrom Rack New York | chain retailer | 60 E 14th Street, New York, NY 10003 | `stockist` | | Olaplex | Laicale | salon | 129 Grand Street, New York, NY 10013 | `stockist` | Example row shape: ```json { "rowType": "stockist", "brandName": "Patternbeauty", "brandDomain": "patternbeauty.com", "stockistName": "Sephora Downtown Brooklyn", "stockistType": "chain_retailer", "retailerChainNormalized": "Sephora", "address": "210 Joralemon Street, Space B", "city": "Brooklyn", "state": "NY", "postalCode": "11201", "latitude": 40.6924, "longitude": -73.9905, "locatorProvider": "stockist", "searchAreaLabel": "New York, NY", "sourceUrl": "https://patternbeauty.com/pages/store-locator", "scrapedAt": "2026-07-04T17:47:03.543Z" } ``` Latest verified cloud smoke: | Metric | Value | |---|---:| | Rows | 80 clean / 80 total | | Location rows | 80 | | Diagnostic rows | 0 | | Brands | Patternbeauty 40, Olaplex 40 | | Runtime | ~4 seconds | ### Output fields `brandName`, `brandDomain`, `stockistName`, `stockistType`, `retailerChainNormalized`, `address`, `address2`, `city`, `state`, `postalCode`, `country`, `latitude`, `longitude`, `phone`, `buyUrl`, `locatorProvider`, `searchAreaLabel`, `distanceMiles`, `sourceUrl`, `scrapedAt`. ### How it works This Actor scans supplied URLs for public locator pages and extracts data from: - Stockist-powered locator widgets. - JSON-LD `LocalBusiness`, `Store`, and related location data. - Embedded public location arrays. - Retailer, stockist, dealer, and store-list links where available. For Stockist widgets, it queries public search endpoints by latitude, longitude, and radius, then deduplicates rows by business, address, and geography. It does **not** log in, access private data, scrape customer accounts, or bypass paywalls. ### Pricing This Actor uses **Pay per event** pricing: - `apify-actor-start`: **$0.00005 per run start**. - `stockist-location-row`: **$0.006 per real stockist / location row**. - Diagnostic rows are emitted for transparency but are **not** charged as value rows. Displayed price: **from $6.00 / 1,000 location rows**. ### Limitations - Works best with direct public store-locator, stockist, dealer-locator, or where-to-buy URLs. - Stockist-powered locators are queried by `searchAreas`; add more cities for national coverage. - Browser-only locator platforms or private APIs may return diagnostics until provider-specific support is added. - Address quality depends on the source locator data. - Not affiliated with Stockist, Shopify, or any listed brand. Use responsibly and respect each site's terms. ### Beauty Data Toolkit This Actor is part of a focused beauty-market data toolkit: | Need | Actor | |---|---| | Product drops, prices, variants, discounts | [Shopify Product Feed & Price Scraper](https://apify.com/fierce_quoll/shopify-beauty-radar) | | Brand retail footprint and where-to-buy / store-locator rows | [Brand Store Locator & Stockist Scraper](https://apify.com/fierce_quoll/beauty-stockist-radar) | | Salon, stylist, and certified-pro locator rows | [Beauty Salon & Pro Locator Scraper](https://apify.com/fierce_quoll/beauty-pro-locator-radar) | Use the three together to map **what brands sell**, **where products are stocked**, and **which salons/pros carry or certify around professional lines**. ### FAQ #### Can I use this beyond beauty brands? Yes, when the brand exposes a compatible public locator, stockist, dealer, or where-to-buy page. Beauty and DTC brands are the main examples, but the extraction pattern also fits retail, wellness, salon, ecommerce, and distributor-location research. #### Why do I need search areas? Many locator widgets return nearby locations, not a full national dump. Add metro coordinates for the markets you care about. #### Can I scrape multiple brands at once? Yes. Add multiple `brandUrls`; each output row includes `brandName`, `brandDomain`, and `sourceUrl`. #### What happens if a locator is unsupported? With `includeDiagnostics: true`, the Actor emits diagnostic rows explaining what failed or what provider was detected. #### Can I export the results? Yes. Apify datasets can be exported to JSON, CSV, Excel, XML, RSS, Google Sheets integrations, or read through the API. ### Quality / verification This project now ships with a reusable sample input and standard local checks: ```bash npm run check cp examples/sample-input.json storage/key_value_stores/default/INPUT.json CRAWLEE_STORAGE_DIR=./storage APIFY_LOCAL_STORAGE_DIR=./storage node src/main.js ``` ### API usage Run from the Apify CLI: ```bash apify call fierce_quoll/beauty-stockist-radar --input-file examples/live-input.json ``` Or use the API tab on the Actor page for language-specific snippets. # Actor input Schema ## `brandUrls` (type: `array`): Public brand homepages or direct store-locator, stockist, where-to-buy, retailer-list, or dealer-locator URLs to scan. Bare domains are accepted. Direct locator URLs work best for the first run. ## `searchAreas` (type: `array`): Latitude/longitude/radius areas used for Stockist and similar map locator searches. Add more cities to expand coverage. ## `maxResultsPerBrand` (type: `integer`): Maximum deduplicated location rows to emit per brand. ## `maxPagesPerBrand` (type: `integer`): Maximum discovered candidate pages to fetch per brand before extracting locations. ## `includeDiagnostics` (type: `boolean`): Emit diagnostic rows when no usable locator or locations are found for a brand. ## `mode` (type: `string`): Advanced override for locator discovery/scoring. ## Actor input object example ```json { "brandUrls": [ "https://patternbeauty.com/pages/store-locator", "https://olaplex.com/pages/certified-stylists" ], "searchAreas": [ { "label": "New York, NY", "latitude": 40.7128, "longitude": -74.006, "radiusMiles": 50 }, { "label": "Los Angeles, CA", "latitude": 34.0522, "longitude": -118.2437, "radiusMiles": 50 }, { "label": "Atlanta, GA", "latitude": 33.749, "longitude": -84.388, "radiusMiles": 50 }, { "label": "Chicago, IL", "latitude": 41.8781, "longitude": -87.6298, "radiusMiles": 50 } ], "maxResultsPerBrand": 300, "maxPagesPerBrand": 6, "includeDiagnostics": true, "mode": "stockist" } ``` # 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 = { "brandUrls": [ "https://patternbeauty.com/pages/store-locator", "https://olaplex.com/pages/certified-stylists" ], "searchAreas": [ { "label": "New York, NY", "latitude": 40.7128, "longitude": -74.006, "radiusMiles": 50 }, { "label": "Los Angeles, CA", "latitude": 34.0522, "longitude": -118.2437, "radiusMiles": 50 }, { "label": "Atlanta, GA", "latitude": 33.749, "longitude": -84.388, "radiusMiles": 50 }, { "label": "Chicago, IL", "latitude": 41.8781, "longitude": -87.6298, "radiusMiles": 50 } ] }; // Run the Actor and wait for it to finish const run = await client.actor("tpa_d/beauty-stockist-radar").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 = { "brandUrls": [ "https://patternbeauty.com/pages/store-locator", "https://olaplex.com/pages/certified-stylists", ], "searchAreas": [ { "label": "New York, NY", "latitude": 40.7128, "longitude": -74.006, "radiusMiles": 50, }, { "label": "Los Angeles, CA", "latitude": 34.0522, "longitude": -118.2437, "radiusMiles": 50, }, { "label": "Atlanta, GA", "latitude": 33.749, "longitude": -84.388, "radiusMiles": 50, }, { "label": "Chicago, IL", "latitude": 41.8781, "longitude": -87.6298, "radiusMiles": 50, }, ], } # Run the Actor and wait for it to finish run = client.actor("tpa_d/beauty-stockist-radar").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 '{ "brandUrls": [ "https://patternbeauty.com/pages/store-locator", "https://olaplex.com/pages/certified-stylists" ], "searchAreas": [ { "label": "New York, NY", "latitude": 40.7128, "longitude": -74.006, "radiusMiles": 50 }, { "label": "Los Angeles, CA", "latitude": 34.0522, "longitude": -118.2437, "radiusMiles": 50 }, { "label": "Atlanta, GA", "latitude": 33.749, "longitude": -84.388, "radiusMiles": 50 }, { "label": "Chicago, IL", "latitude": 41.8781, "longitude": -87.6298, "radiusMiles": 50 } ] }' | apify call tpa_d/beauty-stockist-radar --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tpa_d/beauty-stockist-radar", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Brand Store Locator & Stockist Scraper", "description": "Scrape public brand store locators, stockist/where-to-buy pages, retailer lists, and dealer locators into clean location rows for ecommerce, retail, beauty, and DTC market intelligence.", "version": "0.1", "x-build-id": "ztVfNyV9a9jLCdHyr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tpa_d~beauty-stockist-radar/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tpa_d-beauty-stockist-radar", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tpa_d~beauty-stockist-radar/runs": { "post": { "operationId": "runs-sync-tpa_d-beauty-stockist-radar", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tpa_d~beauty-stockist-radar/run-sync": { "post": { "operationId": "run-sync-tpa_d-beauty-stockist-radar", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "brandUrls" ], "properties": { "brandUrls": { "title": "Brand or locator URLs", "type": "array", "description": "Public brand homepages or direct store-locator, stockist, where-to-buy, retailer-list, or dealer-locator URLs to scan. Bare domains are accepted. Direct locator URLs work best for the first run.", "items": { "type": "string" } }, "searchAreas": { "title": "Search areas for map widgets", "type": "array", "description": "Latitude/longitude/radius areas used for Stockist and similar map locator searches. Add more cities to expand coverage." }, "maxResultsPerBrand": { "title": "Max results per brand", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum deduplicated location rows to emit per brand.", "default": 300 }, "maxPagesPerBrand": { "title": "Max pages per brand", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum discovered candidate pages to fetch per brand before extracting locations.", "default": 6 }, "includeDiagnostics": { "title": "Include diagnostics", "type": "boolean", "description": "Emit diagnostic rows when no usable locator or locations are found for a brand.", "default": true }, "mode": { "title": "Locator mode", "enum": [ "stockist", "pro" ], "type": "string", "description": "Advanced override for locator discovery/scoring.", "default": "stockist" } } }, "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 } } } } } } } } } } ```