# Booksy Salon & Barber Scraper — Leads, Services & Prices (`scrapersdelight/booksy-salon-scraper`) Actor Scrape Booksy salons, barbers & beauty pros by category + city: name, address, ratings, full service menu with prices, staff, Instagram & Facebook. Public API, no login. - **URL**: https://apify.com/scrapersdelight/booksy-salon-scraper.md - **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community) - **Categories:** Automation, Lead generation, Agents - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 per salon returneds 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 ## Booksy Salon & Barber Scraper — Leads, Services & Prices Turn any category + city into a ranked list of **salons, barbers and beauty pros** with their full service menu, prices, review volume and social handles — the qualified-prospect row a **beauty-supply distributor** or a **salon-SaaS / POS / booking-software reseller** works from. ### What you get Each row is one salon / barber / beauty business, with the fields Maps and Yelp can't give you: - **Full service menu with prices** — every service (name, price, duration), plus `price_min` / `price_max` and `services_count` — see exactly which treatments and price tiers a shop runs. - **Review firmographics** — `reviews_count` (volume proxy) + `reviews_stars`. - **Staff** — `staff_count` + `staff_names`. - **Social handles** — `instagram_link`, `facebook_link`, `website` (the reachable contact channel). - **Location** — `address`, `city`, `state`, `zip`, `latitude`, `longitude`. - **Categorization** — `primary_category`, `category_names`. - **Links** — `booksy_url` / `booking_url` (the public salon page), `open_hours`, `description`. ### Honest contact note Booksy is a booking platform and **does not publish salon phone numbers or emails**. This actor returns the salon's **Instagram/Facebook handle (≈80% of salons)**, **physical address**, and **booking-page URL** as the contact channel. It does **NOT** return phone or email. ### How to use Paste one or more `category + city` queries into **Search queries**. Each query is fuzzy full-text — combine a category and a location: ```json { "queries": ["hair salon Miami", "barber Chicago", "nail salon Austin"], "maxItems": 200, "minReviews": 0, "requireSocial": false } ```` - **maxItems** — cap on salons this run (0 = all reachable results across queries). - **minReviews** — skip low-volume shops (a quality filter for buyers). - **requireSocial** — keep only salons with an Instagram or Facebook link. Results dedupe across queries by business id. ### Use cases - **Salon lead list** and **barber shop leads** for territory building - **Beauty business prospecting** for wholesale / product reps - **Salon service-menu & pricing intelligence** (which treatments and price tiers a market runs) - **Salon Instagram outreach lists** for DM campaigns - **Booksy business data export** to CSV / JSON / Excel ### FAQ **Which Booksy do you cover?** The US Booksy marketplace (`us.booksy.com`). **Where do ratings come from?** Booksy's own review counts and star averages, straight from the business record. **Why no phone or email?** Booksy withholds them — the platform mediates booking, so those fields don't exist in its public data. The exposed contact channel is social handles + address + the booking page. Phone/email enrichment is not part of this actor. **Do I need a login or API key?** No. Booksy's data path is a public JSON API — no login, no key to supply. # Actor input Schema ## `queries` (type: `array`): Each query is free text: category + location, e.g. 'hair salon Miami', 'barber Chicago', 'nail salon Austin'. Results dedupe across queries by business id. ## `maxItems` (type: `integer`): 0 = all reachable results across queries. ## `minReviews` (type: `integer`): Skip salons with fewer reviews (0 = keep all). A volume/quality filter for buyers. ## `requireSocial` (type: `boolean`): Booksy does not publish phone/email; enable to keep only rows with a reachable social handle. ## `proxyConfiguration` (type: `object`): Proxy settings. RESIDENTIAL is the default for reliable results. ## Actor input object example ```json { "queries": [ "hair salon Miami", "barber Chicago", "nail salon Austin" ], "maxItems": 10, "minReviews": 0, "requireSocial": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `records` (type: `string`): The dataset of scraped Booksy salons / barbers / beauty businesses (one item per record). # 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 = { "queries": [ "hair salon Miami", "barber Chicago", "nail salon Austin" ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapersdelight/booksy-salon-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 = { "queries": [ "hair salon Miami", "barber Chicago", "nail salon Austin", ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("scrapersdelight/booksy-salon-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 '{ "queries": [ "hair salon Miami", "barber Chicago", "nail salon Austin" ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call scrapersdelight/booksy-salon-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapersdelight/booksy-salon-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booksy Salon & Barber Scraper — Leads, Services & Prices", "description": "Scrape Booksy salons, barbers & beauty pros by category + city: name, address, ratings, full service menu with prices, staff, Instagram & Facebook. Public API, no login.", "version": "0.1", "x-build-id": "cy9vZ32Lv2ZAazCS7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapersdelight~booksy-salon-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapersdelight-booksy-salon-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapersdelight~booksy-salon-scraper/runs": { "post": { "operationId": "runs-sync-scrapersdelight-booksy-salon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapersdelight~booksy-salon-scraper/run-sync": { "post": { "operationId": "run-sync-scrapersdelight-booksy-salon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Search queries (category + city)", "type": "array", "description": "Each query is free text: category + location, e.g. 'hair salon Miami', 'barber Chicago', 'nail salon Austin'. Results dedupe across queries by business id.", "items": { "type": "string" } }, "maxItems": { "title": "Max salons", "type": "integer", "description": "0 = all reachable results across queries.", "default": 0 }, "minReviews": { "title": "Min review count", "type": "integer", "description": "Skip salons with fewer reviews (0 = keep all). A volume/quality filter for buyers.", "default": 0 }, "requireSocial": { "title": "Only salons with an Instagram or Facebook link", "type": "boolean", "description": "Booksy does not publish phone/email; enable to keep only rows with a reachable social handle.", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. RESIDENTIAL is the default for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```