# Niche K-12 Scraper (`lexis-solutions/niche-k12-scraper`) Actor Niche.com K-12 school scraper for lead generation, market research, and education analytics. Extract K-12 school rankings, ratings, tuition, admissions, academics, and student stats from Niche search and profile pages automatically. - **URL**: https://apify.com/lexis-solutions/niche-k12-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** AI, Lead generation, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Niche K-12 Scraper ![banner](https://i.imgur.com/HNRsrtS.png) Niche (niche.com) is a school discovery and review platform. This actor collects structured K-12 school profile data from Niche search result pages and direct school detail pages. ### Introduction The Niche K-12 scraper starts from Niche K-12 search or school profile URLs, paginates through search results, and extracts structured school data such as name, address, rating, Niche grade, tuition, admissions, academics, student statistics, rankings, FAQs, and more. ### Use Cases - **School research**: Build datasets of private, public, boarding, or ranked schools from selected Niche searches. - **Market analysis**: Compare school ratings, tuition, rankings, grades, and student statistics across locations. - **Lead generation**: Collect school websites, phone numbers, and profile metadata for outreach workflows. - **Education analytics**: Feed BI tools, dashboards, and internal data pipelines with structured K-12 school records. ### Input Provide the following fields: - `startUrls` (array, required): Niche K-12 search result URLs or direct school detail URLs. - `maxItems` (integer, optional): Maximum number of school detail pages to collect from list URLs. - `proxyConfiguration` (object, optional): Apify proxy settings. Notes: - Proxies are recommended because Niche may show bot-protection pages such as "press and hold" challenges. - The actor retires blocked sessions and retries when protected pages are detected. ### Input Examples **1) Search and detail URLs** ```json { "startUrls": [ { "url": "https://www.niche.com/k12/search/best-schools/" }, { "url": "https://www.niche.com/k12/st-andrews-school-middletown-de/" } ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output Each dataset item contains fields like: ```json { "url": "https://www.niche.com/k12/st-andrews-school-middletown-de/", "loadedUrl": "https://www.niche.com/k12/st-andrews-school-middletown-de/", "name": "St. Andrew's School", "pageTitle": "St. Andrew's School in DE - Niche", "description": "St. Andrew's School is a private high school located in , Delaware.", "image": "https://d13b2ieg84qqce.cloudfront.net/da2d8bcb7f742c6b8e0eff2e6e8c5734fe80f0aa", "website": "https://www.standrews-de.org/", "phone": "(302) 285-4213", "claimed": true, "address": { "street": "350 NOXONTOWN RD", "city": "MIDDLETOWN", "state": "DE", "postalCode": "19709", "country": null, "raw": "350 NOXONTOWN RD, MIDDLETOWN, DE, 19709" }, "rating": { "value": 4.634285714285714, "best": 5, "worst": 1, "reviewCount": 175 }, "nicheGrade": "A+", "categoryGrades": { "Academics": "A+", "Diversity": "A", "Teachers": "A+", "College Prep": "A+", "Clubs & Activities": "A+", "Sports": "A" }, "tags": ["Boarding School", "Christian", "High School", "Private"], "admissions": { "applicationDeadline": "January 15", "applicationFee": null, "interviewRequired": "Yes", "requiredTests": "ISEE, SSAT, TOEFL" }, "tuition": { "yearly": "$72,870", "yearlyAmount": 72870, "boarding": "$72,870", "boardingAmount": 72870, "receivedFinancialAid": "44%", "receivedFinancialAidPercent": 44, "averageFinancialAid": "$52,826", "averageFinancialAidAmount": 52826 }, "academics": { "averageGraduationRate": "100%", "averageSAT": "1400", "averageACT": "33" }, "students": { "count": "315", "boarding": "100%", "boardingDaysPerWeek": "7-day", "internationalBoarding": "14%", "topCountries": "Australia, Singapore, Germany, Netherlands, United Kingdom" }, "rankings": [], "breadcrumbs": [], "faqs": [] } ``` The scraper paginates through Niche search results and stops when `maxItems` is reached or when no more result items are found. ### Why use the Niche K-12 Scraper? - **Focused**: Built specifically for Niche K-12 school search and profile pages. - **Structured output**: Ready-to-use JSON records for analysis and automation. - **Pagination support**: Search pages are paginated automatically. - **Flexible input**: Supports both search URLs and direct school profile URLs. - **Bot-protection handling**: Detects protected pages, retires blocked sessions, and retries. - **Apify-native**: Works with Apify datasets, request queue, and proxy config. ### FAQ - **How many schools can it extract?**\ Controlled by `maxItems` for search/list URLs. Direct detail URLs are also scraped. - **Do I need proxies?**\ Proxies are recommended. Niche may show bot-protection pages on direct or repeated traffic. - **Can I start from a direct school profile URL?**\ Yes. Direct K-12 school detail URLs are supported. - **Can I start from a search results URL?**\ Yes. URLs such as `https://www.niche.com/k12/search/best-schools/` are supported. - **What if Niche changes their website structure?**\ The actor may require updates to keep extraction stable. ### Need to scrape other listing and directory platforms? Check out our other scrapers: - [Smergers Business Listing Scraper](https://apify.com/lexis-solutions/smergers-business-listing-scraper). - [Companies House UK Scraper](https://apify.com/lexis-solutions/companies-house-uk-scraper). - [Google Maps Business Posts Scraper](https://apify.com/lexis-solutions/google-maps-business-posts-scraper). - [Lu.ma Scraper](https://apify.com/lexis-solutions/lu-ma-scraper). *** **Need help or want a custom solution?** Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions). ### Support Our Work If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. ### Image Credit Image credit: niche.com. # Actor input Schema ## `startUrls` (type: `array`): Niche K-12 search result URLs or direct school detail URLs. ## `maxItems` (type: `integer`): Maximum number of school detail pages to collect from list URLs. Direct detail URLs are also included. ## `proxyConfiguration` (type: `object`): Proxy settings for page requests. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.niche.com/k12/search/best-schools/" }, { "url": "https://www.niche.com/k12/st-andrews-school-middletown-de/" } ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `overview` (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 = { "startUrls": [ { "url": "https://www.niche.com/k12/search/best-schools/" }, { "url": "https://www.niche.com/k12/st-andrews-school-middletown-de/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/niche-k12-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.niche.com/k12/search/best-schools/" }, { "url": "https://www.niche.com/k12/st-andrews-school-middletown-de/" }, ] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/niche-k12-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.niche.com/k12/search/best-schools/" }, { "url": "https://www.niche.com/k12/st-andrews-school-middletown-de/" } ] }' | apify call lexis-solutions/niche-k12-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/niche-k12-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Niche K-12 Scraper", "description": "Niche.com K-12 school scraper for lead generation, market research, and education analytics. Extract K-12 school rankings, ratings, tuition, admissions, academics, and student stats from Niche search and profile pages automatically.", "version": "1.0", "x-build-id": "K6apPaABlKirQjeNc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~niche-k12-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-niche-k12-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~niche-k12-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-niche-k12-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~niche-k12-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-niche-k12-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls", "maxItems" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Niche K-12 search result URLs or direct school detail URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum number of schools", "minimum": 1, "type": "integer", "description": "Maximum number of school detail pages to collect from list URLs. Direct detail URLs are also included.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for page requests.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```