# International Schools Database Scraper (`jungle_synthesizer/international-school-database-scraper`) Actor Extract structured profiles for ~12,000 international schools across 338+ cities worldwide from international-schools-database.com. Returns curriculum (IB, British, American), tuition fees, accreditations, enrollment, age range, school group, languages, phone, and website per school. - **URL**: https://apify.com/jungle\_synthesizer/international-school-database-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Education, Lead generation, Business - **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 ## International Schools Database Scraper Scrapes school profiles from [international-schools-database.com](https://www.international-schools-database.com) — extracting school name, location, curriculum, IB programs, tuition fees, accreditations, enrollment, contact info, and more. Covers approximately 12,000 international schools across 338+ cities worldwide. ### What it does The actor navigates the site hierarchically: 1. **City index** — discovers all city listing pages from `/in` (or accepts a list of city URLs directly) 2. **City listings** — extracts school profile links from each city page 3. **School detail pages** — parses structured JSON-LD data plus HTML elements to produce a rich school record Each school record contains 21 fields sourced primarily from the site's embedded structured data (`application/ld+json`), supplemented by HTML extraction for phone numbers and waiting list status. ### Input | Field | Type | Description | |-------|------|-------------| | `maxItems` | integer | Maximum number of school profiles to scrape. Default: 10. | | `cityUrls` | array | Optional list of city listing URLs (e.g. `https://www.international-schools-database.com/in/dubai`). Leave empty to scrape all cities. | #### Example inputs **Quick test — single city:** ```json { "maxItems": 10, "cityUrls": ["https://www.international-schools-database.com/in/dubai"] } ```` **Multiple cities:** ```json { "maxItems": 100, "cityUrls": [ "https://www.international-schools-database.com/in/bangkok", "https://www.international-schools-database.com/in/singapore", "https://www.international-schools-database.com/in/dubai" ] } ``` **Full global crawl:** ```json { "maxItems": 15000 } ``` Leave `cityUrls` empty and set `maxItems` to your desired limit (or omit it to scrape all schools). ### Output Each record contains: | Field | Description | |-------|-------------| | `school_name` | Full name of the school | | `city` | City where the school is located | | `country` | Country name | | `country_code` | ISO 2-letter country code (e.g. TH, AE, DE) | | `address` | Full street address | | `curriculum` | Comma-separated curricula (e.g. IB, British, American) | | `ib_programs` | IB programme certifications (e.g. Diploma Programme, PYP) | | `age_range` | Typical student age range (e.g. 2-18) | | `total_enrollment` | Total number of students enrolled | | `accreditations` | Comma-separated accreditations (e.g. CIS, BSO, IB) | | `school_group` | School group or network (e.g. Nord Anglia, GEMS) | | `languages_of_instruction` | Comma-separated languages of instruction | | `tuition_low` | Minimum annual tuition | | `tuition_high` | Maximum annual tuition | | `currency` | Currency code for tuition figures | | `waiting_list` | Waiting list status (Yes / No / unknown) | | `phone` | School or admissions phone number | | `website` | School's official website URL | | `school_url` | Profile URL on international-schools-database.com | | `school_id` | School slug identifier from URL | | `description` | School overview description | | `scrapedAt` | ISO timestamp when the record was scraped | #### Example output ```json { "school_name": "Agora International School Andorra", "city": "Andorra la Vella", "country": "Andorra", "country_code": "AD", "address": "Carrer de la Roda, 3, AD500 Andorra la Vella", "curriculum": "IB", "ib_programs": "Primary Years Programme, Middle Years Programme, Diploma Programme", "age_range": "2-18", "total_enrollment": 650, "accreditations": "IB World School", "school_group": "", "languages_of_instruction": "English, Spanish, Catalan", "tuition_low": 11900, "tuition_high": 17000, "currency": "EUR", "waiting_list": "No", "phone": "+376 737 460", "website": "https://www.agoraandorra.com", "school_url": "https://www.international-schools-database.com/in/andorra/agora-international-school-andorra", "school_id": "agora-international-school-andorra", "description": "Agora International School Andorra is a leading international school...", "scrapedAt": "2026-05-03T20:14:00.000Z" } ``` ### Usage notes - **Start with a city URL** for testing — Andorra (`/in/andorra`) has only 2 schools and completes in seconds - **Full global crawl** discovers ~338 cities and ~12,000 schools; allow several hours with `timeoutSecs: 21600` - **Tuition fields** are in the school's local currency — check `currency` to interpret values correctly - **`waiting_list`** is extracted from the school's self-reported Q\&A section; some schools do not fill this in (returns `unknown`) - **Residential proxies** are used automatically to ensure reliable access from all regions ### Performance - Concurrency: up to 10 parallel requests - Typical throughput: ~80-100 schools/minute in cloud - Memory: 512 MB # 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 school profiles to scrape. Leave at default for a quick test run. ## `cityUrls` (type: `array`): Optional list of city listing URLs to scrape (e.g. https://www.international-schools-database.com/in/dubai). Leave empty to scrape all cities. ## 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": 10, "cityUrls": [ "https://www.international-schools-database.com/in/andorra" ] } ``` # 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": 10, "cityUrls": [ "https://www.international-schools-database.com/in/andorra" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/international-school-database-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": 10, "cityUrls": ["https://www.international-schools-database.com/in/andorra"], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/international-school-database-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": 10, "cityUrls": [ "https://www.international-schools-database.com/in/andorra" ] }' | apify call jungle_synthesizer/international-school-database-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/international-school-database-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "International Schools Database Scraper", "description": "Extract structured profiles for ~12,000 international schools across 338+ cities worldwide from international-schools-database.com. Returns curriculum (IB, British, American), tuition fees, accreditations, enrollment, age range, school group, languages, phone, and website per school.", "version": "0.1", "x-build-id": "Eu8obAVFy0zPVOFxn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~international-school-database-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-international-school-database-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~international-school-database-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-international-school-database-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~international-school-database-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-international-school-database-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": { "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", "type": "integer", "description": "Maximum number of school profiles to scrape. Leave at default for a quick test run.", "default": 10 }, "cityUrls": { "title": "City URLs", "type": "array", "description": "Optional list of city listing URLs to scrape (e.g. https://www.international-schools-database.com/in/dubai). Leave empty to scrape all cities.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```