# The Knot Scraper (`apage/the-knot-scraper`) Actor Scrape wedding venues and vendors from The Knot. Easily extract detailed profiles including business names, website links, phone numbers, ratings, reviews, starting prices, and high-quality images. Search by any category (Photographers, Venues, Florists, etc) and location - **URL**: https://apify.com/apage/the-knot-scraper.md - **Developed by:** [Andy Page](https://apify.com/apage) (community) - **Categories:** Lead generation, Automation - **Stats:** 12 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## The Knot Wedding Venues & Vendors Scraper A robust and powerful Apify Actor to scrape wedding vendor and venue profiles from **The Knot** (theknot.com). Easily extract detailed profiles—including contact information, pricing, ratings, and beautiful gallery images—across any category and location. Perfect for wedding startups, lead generation, cold outreach, directories, and market research. ### Features - **Any Category**: Scrape venues, photographers, planners, caterers, florists, DJs, and 20+ other vendor types. - **Location Based**: Search by any City/State combination (e.g. "Austin, TX") or State level. - **Deep Data Extraction**: Extracts highly detailed information including: - Vendor/Venue Name - Contact Info (Website, Phone number, Address) - Ratings & Review counts - Starting Prices - Detailed Descriptions - Awards (e.g. "Best of Weddings", "Hall of Fame") - High-res primary and gallery images - **Anti-Bot Resilience**: Uses advanced Playwright browser fingerprinting, configurable concurrency, and Apify Proxy rotation to ensure reliable extraction. ### Use Cases 1. **Lead Generation & Cold Outreach:** Get a complete list of local vendors (e.g. all photographers in Austin, TX) with their contact info and starting prices to personalize your outreach. 2. **Directory Building:** Aggregate wedding reception venues across a state or major metro to power an internal CRM or comparison site. 3. **Market Research:** Pull data on various vendor categories to analyze pricing trends, reviews, and competitive landscape. ### Input Parameters The Actor can be driven either by providing explicit Start URLs or by using the built-in Search/Filter builder. | Field | Type | Description | Default | | ----- | ---- | ----------- | ------- | | `startUrls` | Array | One or more The Knot marketplace URLs to start crawling. Overrides category/location. | `[]` | | `category` | String | The type of entity to scrape (e.g., `wedding-reception-venues`, `wedding-photographers`, etc.). | `wedding-reception-venues` | | `location` | String | Geographic filter: city and state (e.g., "Austin, TX") or state only. | *Empty* | | `maxResults` | Integer | Maximum number of venue/vendor items to scrape and save. | `500` | | `maxPages` | Integer | Maximum number of listing pages to scroll through/crawl. | `20` | | `scrapeDetailPages` | Boolean | If true, visits each profile to get full data. If false, extracts basic listing data only. | `true` | | `useApifyProxy` | Boolean | Highly recommended to remain `true` to avoid IP bans. | `true` | #### Example Input ```json { "category": "wedding-photographers", "location": "Austin, TX", "maxResults": 100, "maxPages": 5, "scrapeDetailPages": true, "useApifyProxy": true } ```` ### Output Data Structure The dataset produced contains one item per venue or vendor. Example output: ```json { "entityType": "vendor", "category": "wedding-photographers", "url": "https://www.theknot.com/marketplace/j-bell-photography-austin-tx-593283", "name": "J. Bell Photography", "description": "J. Bell Photography is a Wedding Photographer in Austin, TX...", "website": "https://jbellphotography.com", "phone": "(512) 555-0123", "address": "123 Main St", "city": "Austin", "state": "TX", "imageUrl": "https://media-api.xogrp.com/images/...", "imageUrls": [ "https://media-api.xogrp.com/images/...", "https://media-api.xogrp.com/images/..." ], "priceRange": "Prices starting at $2,450", "rating": 4.9, "reviewCount": 98, "awards": "2023 Best of Weddings Winner, Hall of Fame", "sourceUrl": "https://www.theknot.com/marketplace/j-bell-photography-austin-tx-593283", "scrapedAt": "2026-02-20T12:00:00.000Z" } ``` ### Legals The Actor collects publicly visible data only. Users are responsible for complying with The Knot’s Terms of Service and applicable laws (e.g., CAN-SPAM for email outreach). # Actor input Schema ## `startUrls` (type: `array`): One or more The Knot marketplace URLs to start crawling. ## `category` (type: `string`): The type of entity to scrape. ## `location` (type: `string`): Geographic filter: city and state (e.g. 'Austin, TX') or state only. ## `maxResults` (type: `integer`): Maximum number of venue/vendor items to save to the dataset. ## `maxPages` (type: `integer`): Maximum number of listing pages to crawl. ## `scrapeDetailPages` (type: `boolean`): If true, the Actor enqueues and scrapes each venue/vendor detail (profile) page. ## `maxRequestRetries` (type: `integer`): Number of retries for a failed request before skipping. ## `useApifyProxy` (type: `boolean`): If true, requests are sent through Apify Proxy. ## `maxConcurrency` (type: `integer`): Maximum number of concurrent requests. ## `delayBetweenRequestsMs` (type: `integer`): Minimum delay in milliseconds between requests. ## `requestHandlerTimeoutSecs` (type: `integer`): Timeout in seconds for handling each request. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.theknot.com/marketplace/wedding-reception-venues" } ], "category": "wedding-reception-venues", "location": "Austin, TX", "maxResults": 500, "maxPages": 20, "scrapeDetailPages": true, "maxRequestRetries": 3, "useApifyProxy": true, "maxConcurrency": 10, "delayBetweenRequestsMs": 1500, "requestHandlerTimeoutSecs": 60 } ``` # Actor output Schema ## `results` (type: `string`): API URL to fetch dataset items (JSON array). # 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 = { "startUrls": [ { "url": "https://www.theknot.com/marketplace/wedding-reception-venues" } ], "location": "Austin, TX" }; // Run the Actor and wait for it to finish const run = await client.actor("apage/the-knot-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 = { "startUrls": [{ "url": "https://www.theknot.com/marketplace/wedding-reception-venues" }], "location": "Austin, TX", } # Run the Actor and wait for it to finish run = client.actor("apage/the-knot-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 '{ "startUrls": [ { "url": "https://www.theknot.com/marketplace/wedding-reception-venues" } ], "location": "Austin, TX" }' | apify call apage/the-knot-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apage/the-knot-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "The Knot Scraper", "description": "Scrape wedding venues and vendors from The Knot. Easily extract detailed profiles including business names, website links, phone numbers, ratings, reviews, starting prices, and high-quality images. Search by any category (Photographers, Venues, Florists, etc) and location", "version": "0.1", "x-build-id": "j8APUzl6i6pTDzaVu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apage~the-knot-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apage-the-knot-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apage~the-knot-scraper/runs": { "post": { "operationId": "runs-sync-apage-the-knot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apage~the-knot-scraper/run-sync": { "post": { "operationId": "run-sync-apage-the-knot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "One or more The Knot marketplace URLs to start crawling.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "category": { "title": "Category", "enum": [ "wedding-reception-venues", "wedding-photographers", "wedding-videographers", "wedding-planners", "catering", "florists", "wedding-djs", "live-wedding-bands", "beauty-services", "bridal-salons", "wedding-cake-bakeries", "bar-services", "wedding-officiants", "wedding-photo-booth-rentals", "wedding-rentals", "transportation-services", "jewelers", "wedding-soloists-ensembles", "wedding-dance-lessons", "wedding-decor-shops", "invitations", "favors", "rehearsal-dinners-bridal-showers", "wedding-travel-agents" ], "type": "string", "description": "The type of entity to scrape.", "default": "wedding-reception-venues" }, "location": { "title": "Location", "type": "string", "description": "Geographic filter: city and state (e.g. 'Austin, TX') or state only." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of venue/vendor items to save to the dataset.", "default": 500 }, "maxPages": { "title": "Max listing pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of listing pages to crawl.", "default": 20 }, "scrapeDetailPages": { "title": "Scrape detail pages", "type": "boolean", "description": "If true, the Actor enqueues and scrapes each venue/vendor detail (profile) page.", "default": true }, "maxRequestRetries": { "title": "Max request retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "Number of retries for a failed request before skipping.", "default": 3 }, "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "If true, requests are sent through Apify Proxy.", "default": true }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 30, "type": "integer", "description": "Maximum number of concurrent requests.", "default": 10 }, "delayBetweenRequestsMs": { "title": "Delay between requests (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Minimum delay in milliseconds between requests.", "default": 1500 }, "requestHandlerTimeoutSecs": { "title": "Request handler timeout (seconds)", "minimum": 10, "maximum": 300, "type": "integer", "description": "Timeout in seconds for handling each request.", "default": 60 } } }, "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 } } } } } } } } } } ```