# StyleSeat + Booksy Beauty Pro Scraper (`jungle_synthesizer/styleseat-booksy-beauty-aggregator-scraper`) Actor Scrape beauty professional profiles from StyleSeat and Booksy in one unified schema: business name, location, phone, services with prices, ratings, and social handles. Built for B2B prospecting — payment processors, salon SaaS, and beauty wholesalers. - **URL**: https://apify.com/jungle\_synthesizer/styleseat-booksy-beauty-aggregator-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## StyleSeat + Booksy Beauty Pro Scraper Scrape beauty professional profiles from [StyleSeat](https://www.styleseat.com) and [Booksy](https://booksy.com) in one unified schema. Returns business name, full address, phone, services with prices, ratings, social handles, and Instagram for hundreds of thousands of stylists, barbers, and salon owners across the US — all in clean flat JSON. --- ### StyleSeat + Booksy Scraper Features - Pulls profiles from **two platforms** under one schema. The `platform` field tells you which. - Extracts the full service menu with per-service pricing — useful for wholesale pricing benchmarks. - Parses StyleSeat sitemap shards (1–20, ~1,000 stylists each) and Booksy search-result pages. - Returns Instagram handles for StyleSeat profiles, since most independent stylists live there. - Pure HTTP scraping. No browser, no proxy required. - Rate-limited at 5 req/sec out of the box. You can leave it running and it won't get clobbered. - 28 fields per record, including geo coordinates, ratings, review counts, and lifetime appointment counts. --- ### Who Uses Beauty Professional Data? - **Payment processors** — build prospect lists for SMB merchant onboarding (Stripe, Square competitors). - **Salon software vendors** — find independent stylists not yet on a booking platform, or poach Booksy/StyleSeat users with better terms. - **Beauty product wholesalers** — Olaplex, CND, GHD distributors targeting independent salons need salon contact lists with service menus. - **Insurance agencies** — beauty professional liability policies need verified business addresses and category data. - **Market researchers** — analyze service pricing across cities, segment by category, or measure platform overlap. - **Recruiters** — staffing agencies sourcing licensed stylists by city and specialty. --- ### How the StyleSeat + Booksy Scraper Works 1. Pick which platforms you want — StyleSeat, Booksy, or both. Defaults to both. 2. For StyleSeat, the scraper walks one or more of the 20 sitemap shards (`sitemap-stylists-N.xml`) and hits StyleSeat's public profile API for each stylist. 3. For Booksy, you supply one or more search-result URLs — `https://booksy.com/en-us/s/{category}/{location_id}_{city-slug}` — and it harvests every business linked from those pages. 4. Each profile is normalised to the same flat record. The `platform` discriminator lets you keep them together or split them downstream. --- ### Input ```json { "maxItems": 50, "platforms": ["styleseat", "booksy"], "styleseat_sitemap_shards": ["1"], "booksy_search_urls": [ "https://booksy.com/en-us/s/barber-shop/134655_los-angeles", "https://booksy.com/en-us/s/hair-salon/134655_los-angeles" ], "do_fetch_services": true } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `maxItems` | integer | `50` | Total profiles to scrape, split across enabled platforms. | | `platforms` | array | `["styleseat","booksy"]` | Which platforms to scrape. Pick one or both. | | `styleseat_sitemap_shards` | array | `["1"]` | StyleSeat sitemap shard numbers (1–20). Each shard contains ~1,000 stylists. | | `booksy_search_urls` | array | LA barber + hair-salon | Booksy search URLs to harvest. Format: `https://booksy.com/en-us/s/{category}/{location_id}_{city-slug}`. | | `do_fetch_services` | boolean | `true` | Fetch StyleSeat's service menu (extra API call per profile, but enriches `services_offered` and `specialties`). Booksy services come for free from JSON-LD. | #### StyleSeat-only run ```json { "maxItems": 1000, "platforms": ["styleseat"], "styleseat_sitemap_shards": ["1", "2", "3"], "do_fetch_services": true } ``` #### Booksy-only run ```json { "maxItems": 200, "platforms": ["booksy"], "booksy_search_urls": [ "https://booksy.com/en-us/s/barber-shop/134598_philadelphia", "https://booksy.com/en-us/s/nail-salon/134608_austin" ] } ``` *** ### StyleSeat + Booksy Scraper Output Fields ```json { "platform": "styleseat", "profile_url": "https://www.styleseat.com/m/v/gdarling", "professional_name": "Glenda Darling", "business_name": "Smoke & Mirrors", "category": "Stylist", "specialties": ["Full Highlights", "Women's Cut", "Bonding Hair Extensions"], "address": "256 Sutter Street, 2nd Floor", "city": "San Francisco", "state": "CA", "zip": "94108", "country": "US", "latitude": 37.7898866, "longitude": -122.4047905, "phone": "4152490840", "email": "", "website": "", "instagram": "smokeandmirrorssf", "facebook": "", "tiktok": "", "booking_url": "", "rating": 4.98, "review_count": 134, "service_count": 13, "price_range": "", "services_offered": [ "Full Highlights with Haircut — $585", "Bang Trim — $30+", "Hair Extensions — $450+" ], "profile_blurb": "I began working as an independent stylist in San Francisco's Pacific Heights neighborhood in 1998...", "profile_photo": "https://d220aniogakg8b.cloudfront.net/static/uploads/2016/02/05/...", "num_appointments": 1000, "neighborhood": "Financial District", "timezone": "US/Pacific", "scraped_at": "2026-04-25T15:54:28.597Z" } ``` | Field | Type | Description | |-------|------|-------------| | `platform` | string | `"styleseat"` or `"booksy"`. | | `profile_url` | string | Public profile URL on the source platform. | | `professional_name` | string | Stylist or owner name. Often blank for Booksy salon listings. | | `business_name` | string | Salon, studio, or business name. | | `category` | string | Profession (StyleSeat) or business category (Booksy). | | `specialties` | array | Specialty tags. Populated for StyleSeat when `do_fetch_services` is on. | | `address` | string | Street address. | | `city` | string | City. For Booksy, parsed from the embedded `streetAddress` segment. | | `state` | string | US state — 2-letter abbreviation (StyleSeat) or full name (Booksy). | | `zip` | string | ZIP / postal code. | | `country` | string | ISO country code (`US`). | | `latitude` | number | Decimal degrees. | | `longitude` | number | Decimal degrees. | | `phone` | string | Public phone number. | | `email` | string | Public email. Rarely exposed by either platform. | | `website` | string | External website URL when distinct from the profile URL. | | `instagram` | string | Instagram handle without the `@`. StyleSeat exposes this; Booksy doesn't. | | `facebook` | string | Facebook URL or handle. Rarely exposed. | | `tiktok` | string | TikTok handle. Rarely exposed. | | `booking_url` | string | Direct booking URL when the pro accepts online bookings. | | `rating` | number | Average star rating on a 5-point scale. | | `review_count` | number | Total review count. | | `service_count` | number | Number of services in the menu. | | `price_range` | string | Formatted price range (e.g. `"USD 20 - 100"`). Booksy only. | | `services_offered` | array | Service names with prices, formatted as `"Name — $price"`. | | `profile_blurb` | string | Self-described professional bio. | | `profile_photo` | string | Profile or business photo URL. | | `num_appointments` | number | Lifetime appointment count. StyleSeat only. | | `neighborhood` | string | Neighborhood name. StyleSeat only. | | `timezone` | string | IANA timezone. StyleSeat only. | | `scraped_at` | string | ISO 8601 timestamp when the record was scraped. | *** ### FAQ #### How do I scrape StyleSeat or Booksy? The StyleSeat + Booksy Beauty Pro Scraper handles both. Configure the input, run it, and you get a flat JSON dataset with one row per professional. No Apify proxy and no browser are required — both platforms expose enough public data through their APIs and SSR HTML to scrape directly. #### How much does the StyleSeat + Booksy Scraper cost to run? Pay-per-event: $0.10 per actor start plus $0.001 per record. A 1,000-profile run costs roughly $1.10. Most users land in the $1–$10 range per session. #### Can I filter by city or category? Yes for Booksy — you supply specific search URLs like `https://booksy.com/en-us/s/barber-shop/134655_los-angeles` and the scraper only pulls businesses from those pages. StyleSeat sitemaps are not city-filtered, so you get a mixed national sample per shard. If you need strict geo filtering on StyleSeat, post-filter the output by `state` or `zip`. #### Does the scraper need proxies? No. StyleSeat and Booksy serve their public profile data without bot protection. The scraper rate-limits itself at 5 requests per second, which keeps both platforms happy and stops you from looking like a denial-of-service attack. #### What's the difference between this and a single-platform Booksy scraper? This actor covers both. You get one schema, one billing event, and a `platform` field that lets you split the output later. Useful when your prospect list isn't loyal to one booking platform — and most independent beauty professionals aren't. *** ### Need More Features? Need a different city, category, or extra fields like portfolio photo URLs? File an issue or get in touch. ### Why Use This Scraper? - **Two platforms, one schema** — StyleSeat and Booksy data normalised to the same 28 fields. Saves a round of post-processing. - **Service menu with pricing** — most beauty scrapers stop at name and address. This one returns the full price list, which is what you actually need for B2B sales pitches. - **No proxies, no browser** — pure HTTP fetching. Runs in 256 MB. Cheaper to operate, faster to start, and no surprise CAPTCHA bills. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of professional profiles to scrape across both platforms. ## `platforms` (type: `array`): Which platforms to scrape from. Both = combined output. ## `booksy_search_urls` (type: `array`): Booksy search URLs to harvest. Format: https://booksy.com/en-us/s/{category}/{location\_id}\_{city-slug} E.g. https://booksy.com/en-us/s/barber-shop/134655\_los-angeles ## `styleseat_sitemap_shards` (type: `array`): Which StyleSeat stylist sitemap shard numbers to crawl (1-20). Each shard contains ~1000 stylists. Defaults to shard 1 only — add more for fuller coverage. ## `do_fetch_services` (type: `boolean`): Fetch StyleSeat service menu (extra API call per profile, slower but richer data). Booksy services come from JSON-LD for free. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 50, "platforms": [ "styleseat", "booksy" ], "booksy_search_urls": [ "https://booksy.com/en-us/s/barber-shop/134655_los-angeles" ], "styleseat_sitemap_shards": [ "1" ], "do_fetch_services": true } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 50, "platforms": [ "styleseat", "booksy" ], "booksy_search_urls": [ "https://booksy.com/en-us/s/barber-shop/134655_los-angeles" ], "styleseat_sitemap_shards": [ "1" ], "do_fetch_services": true }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/styleseat-booksy-beauty-aggregator-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 50, "platforms": [ "styleseat", "booksy", ], "booksy_search_urls": ["https://booksy.com/en-us/s/barber-shop/134655_los-angeles"], "styleseat_sitemap_shards": ["1"], "do_fetch_services": True, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/styleseat-booksy-beauty-aggregator-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 50, "platforms": [ "styleseat", "booksy" ], "booksy_search_urls": [ "https://booksy.com/en-us/s/barber-shop/134655_los-angeles" ], "styleseat_sitemap_shards": [ "1" ], "do_fetch_services": true }' | apify call jungle_synthesizer/styleseat-booksy-beauty-aggregator-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/styleseat-booksy-beauty-aggregator-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "StyleSeat + Booksy Beauty Pro Scraper", "description": "Scrape beauty professional profiles from StyleSeat and Booksy in one unified schema: business name, location, phone, services with prices, ratings, and social handles. Built for B2B prospecting — payment processors, salon SaaS, and beauty wholesalers.", "version": "0.1", "x-build-id": "z1lULbpXsbzk6NUVz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~styleseat-booksy-beauty-aggregator-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-styleseat-booksy-beauty-aggregator-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~styleseat-booksy-beauty-aggregator-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-styleseat-booksy-beauty-aggregator-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~styleseat-booksy-beauty-aggregator-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-styleseat-booksy-beauty-aggregator-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of professional profiles to scrape across both platforms.", "default": 50 }, "platforms": { "title": "Platforms", "type": "array", "description": "Which platforms to scrape from. Both = combined output.", "items": { "type": "string", "enum": [ "styleseat", "booksy" ] }, "default": [ "styleseat", "booksy" ] }, "booksy_search_urls": { "title": "Booksy Search URLs", "type": "array", "description": "Booksy search URLs to harvest. Format:\nhttps://booksy.com/en-us/s/{category}/{location_id}_{city-slug}\nE.g. https://booksy.com/en-us/s/barber-shop/134655_los-angeles\n", "items": { "type": "string" }, "default": [ "https://booksy.com/en-us/s/barber-shop/134655_los-angeles", "https://booksy.com/en-us/s/hair-salon/134655_los-angeles" ] }, "styleseat_sitemap_shards": { "title": "StyleSeat Sitemap Shards", "type": "array", "description": "Which StyleSeat stylist sitemap shard numbers to crawl (1-20).\nEach shard contains ~1000 stylists. Defaults to shard 1 only —\nadd more for fuller coverage.\n", "items": { "type": "string" }, "default": [ "1" ] }, "do_fetch_services": { "title": "Fetch service menu (StyleSeat)", "type": "boolean", "description": "Fetch StyleSeat service menu (extra API call per profile, slower but richer data). Booksy services come from JSON-LD for free.", "default": true } } }, "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 } } } } } } } } } } ```