# GreatSchools Scraper - School Ratings & Data (`lulzasaur/greatschools-scraper`) Actor Scrape school ratings, test scores, and demographics from GreatSchools.org. Extract school names, 1-10 ratings, student counts, grade levels, and reviews for any US city. Ideal for education research and real estate analysis. - **URL**: https://apify.com/lulzasaur/greatschools-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** Other - **Stats:** 9 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 ## GreatSchools Scraper Scrape school ratings, demographics, and contact data from [GreatSchools.org](https://www.greatschools.org/) for any US city. Returns structured data including the 1-10 GreatSchools rating, enrollment, student-teacher ratio, test scores, reviews, phone numbers, and websites. ### What data can you get? | Field | Source | Details required? | |---|---|---| | School name | Search | No | | GreatSchools rating (1-10) | Search | No | | Address, city, state, ZIP | Search | No | | School type (public/private/charter) | Search | No | | Grade range | Search | No | | Enrollment | Search | No | | Student-teacher ratio | Search | No | | District name | Search | No | | Test score sub-ratings | Search | No | | Parent rating & review count | Search | No | | Phone number | Detail | Yes | | Website | Detail | Yes | ### Input | Parameter | Type | Default | Description | |---|---|---|---| | `searchQueries` | string[] | `["Los Angeles, CA"]` | City/state to search. Use "City, ST" format. | | `maxListings` | integer | `50` | Max schools per query (1-1000). | | `scrapeDetails` | boolean | `false` | Fetch detail pages for phone/website. Slower. | | `schoolType` | string | `""` | Filter: `public`, `private`, `charter`, or blank for all. | | `proxyConfiguration` | object | - | Optional proxy settings. | #### Example input ```json { "searchQueries": ["Los Angeles, CA", "New York, NY"], "maxListings": 100, "scrapeDetails": true, "schoolType": "public" } ```` ### Output Each result contains: ```json { "schoolName": "L.A. County High School For The Arts", "gsRating": 10, "address": "5151 State University Drive", "city": "Los Angeles", "state": "CA", "zip": "90032", "schoolType": "public", "gradeRange": "9-12", "enrollment": 551, "studentTeacherRatio": 27, "district": "Los Angeles County Office Of Education School District", "phone": "(323) 343-2550", "website": "http://www.lachsa.net", "testScores": { "Test Scores Rating": 9, "College Readiness Rating": 10 }, "reviews": 32, "parentRating": 3.47, "sourceUrl": "https://www.greatschools.org/california/los-angeles/10927-L.A.-County-High-School-For-The-Arts/", "scrapedAt": "2026-04-26T12:00:00.000Z" } ``` ### Use cases - **Real estate analysis** - Compare school quality across neighborhoods - **Education research** - Aggregate school metrics by district, city, or state - **Relocation planning** - Find top-rated schools in target cities - **Policy analysis** - Track school performance and demographics at scale - **Lead generation** - Build lists of schools with contact info ### Tips - Without `scrapeDetails`, the scraper runs fast using search-page JSON data. - Enable `scrapeDetails` when you need phone numbers and school websites. - GreatSchools shows 25 schools per page. Setting `maxListings: 1000` will fetch up to 40 pages. - Use the `schoolType` filter to narrow results before scraping. ### Cost This actor uses pay-per-event pricing. You are charged per school result returned. Use `maxListings` to control costs. # Actor input Schema ## `searchQueries` (type: `array`): City/state searches (e.g. 'Los Angeles, CA', 'New York, NY', 'Houston, TX'). Each query scrapes all matching schools. ## `maxListings` (type: `integer`): Maximum number of schools to scrape per query. GreatSchools shows 25 per page. ## `scrapeDetails` (type: `boolean`): Fetch each school's detail page for phone, website, test scores, and full reviews. Slower but richer data. ## `schoolType` (type: `string`): Filter by school type. Leave blank for all types. ## `proxyConfiguration` (type: `object`): Proxy settings for avoiding rate limits on large runs. ## Actor input object example ```json { "searchQueries": [ "Los Angeles, CA" ], "maxListings": 50, "scrapeDetails": false, "schoolType": "" } ``` # 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 = { "searchQueries": [ "Los Angeles, CA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/greatschools-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 = { "searchQueries": ["Los Angeles, CA"] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/greatschools-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 '{ "searchQueries": [ "Los Angeles, CA" ] }' | apify call lulzasaur/greatschools-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/greatschools-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GreatSchools Scraper - School Ratings & Data", "description": "Scrape school ratings, test scores, and demographics from GreatSchools.org. Extract school names, 1-10 ratings, student counts, grade levels, and reviews for any US city. Ideal for education research and real estate analysis.", "version": "1.0", "x-build-id": "FRj9jtqyW46GNcHIv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~greatschools-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-greatschools-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~greatschools-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-greatschools-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~greatschools-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-greatschools-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "City/state searches (e.g. 'Los Angeles, CA', 'New York, NY', 'Houston, TX'). Each query scrapes all matching schools.", "default": [ "Los Angeles, CA" ], "items": { "type": "string" } }, "maxListings": { "title": "Max Schools", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of schools to scrape per query. GreatSchools shows 25 per page.", "default": 50 }, "scrapeDetails": { "title": "Scrape Detail Pages", "type": "boolean", "description": "Fetch each school's detail page for phone, website, test scores, and full reviews. Slower but richer data.", "default": false }, "schoolType": { "title": "School Type", "enum": [ "", "public", "private", "charter" ], "type": "string", "description": "Filter by school type. Leave blank for all types.", "default": "" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for avoiding rate limits on large runs." } } }, "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 } } } } } } } } } } ```