# Duolingo Language Data Scraper | Course Vocabulary Export (`parseforge/duolingo-language-data-scraper`) Actor Export Duolingo language course skills, lexemes and translations. Specify source and target language codes to pull the vocabulary set learners encounter. Useful for linguistics research, language app builders and translation tooling. CSV, Excel, JSON or XML. - **URL**: https://apify.com/parseforge/duolingo-language-data-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $19.00 / 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. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## 🦉 Duolingo Language Data Scraper > 🚀 **Export the full Duolingo course catalog with learner counts and language stats.** > 🕒 **Last updated:** 2026-05-25 . **📊 9 fields** per record . **100+ courses** . **Every public Duolingo language course** Export every public Duolingo language course. Each record includes the learning language, source language, learner count, and rollout phase. Filter by source or target language ISO code. | 🎯 Target Audience | 💡 Primary Use Cases | |---|---| | Researchers | Bulk data export for analysis. | | Analysts | Build dashboards and reports. | | Developers | Power apps with live structured data. | ### 📋 What the Duolingo Scraper does - Pulls every available record from the public Duolingo source. - Normalizes fields into a flat, analysis-ready table. - Streams results to a dataset you can download as CSV, Excel, JSON, XML or RSS. - Runs on-demand or on a schedule. > 💡 **Why it matters:** the public Duolingo interface is paginated and slow to scrape by hand. This actor gives you the whole dataset in minutes. ### 🎬 Full Demo _🚧 Coming soon._ ### ⚙️ Input Provide the filters you need. Leaving filters empty returns the whole catalog. ```json { "maxItems": 50, "fromLanguage": "en" } ```` ```json { "maxItems": 100 } ``` > ⚠️ **Good to Know:** free users are capped at 10 records per run. Upgrade to scale up to 1,000,000 records. ### 📊 Output | Field | Description | |---|---| | 📚 `title` | Course title. | | 🔗 `url` | Course URL. | | 🗣 `learningLanguageName` | Language being learned. | | 🌍 `fromLanguageName` | Language of instruction. | | 👥 `numLearners` | Number of active learners. | | 🚦 `phase` | Course rollout phase (1=beta, 4=stable). | | 🕒 `scrapedAt` | ISO 8601 timestamp of capture. | | ❌ `error` | Error message when a record cannot be parsed (else null). | Sample record: ```json { "title": "Japanese for Spanish speakers", "url": "https://www.duolingo.com/course/ja/es", "learningLanguage": "ja", "learningLanguageName": "Japanese", "fromLanguage": "es", "fromLanguageName": "Spanish", "numLearners": 2974058, "phase": 3, "scrapedAt": "2026-05-25T12:00:00.000Z", "error": null } ``` ### ✨ Why choose this Actor - Always-fresh data, on demand. - No login or API key required. - CSV, Excel, JSON, XML, RSS exports. - Pay only for what you use. ### 📈 How it compares to alternatives | Approach | Speed | Cost | Maintenance | |---|---|---|---| | Manual copy-paste | Slow | Free | High | | Custom script | Medium | Dev time | High | | **This Actor** | **Fast** | **Pay-per-use** | **Zero** | ### 🚀 How to use 1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp). 2. Open the actor page and click **Try for free**. 3. Set your filters (or leave defaults). 4. Click **Start** and wait for the run to finish. 5. Download results as CSV, Excel, JSON or XML. ### 💼 Business use cases #### Market research Map the competitive landscape in seconds. #### Lead generation Build a targeted prospect list from filtered records. #### Content & SEO Power data-driven articles, landing pages, and comparison tools. #### Compliance & monitoring Track changes to public records over time. ### 🔌 Automating Duolingo Scraper Wire the actor into Make, Zapier, n8n, Slack, Airbyte, GitHub Actions, or Google Drive via the Apify integrations panel. ### 🌟 Beyond business use cases #### Academic research Reproducible datasets for peer-reviewed work. #### Personal projects Side projects, dashboards, hobby analyses. #### Non-profit Civic tech, transparency, open data. #### Experimentation Train ML models, benchmark prompts, test ideas. ### 🤖 Ask an AI assistant about this scraper [ChatGPT](https://chatgpt.com/) . [Claude](https://claude.ai/) . [Perplexity](https://www.perplexity.ai/) . [Microsoft Copilot](https://copilot.microsoft.com/) ### ❓ Frequently Asked Questions **Is this legal?** Yes. Only publicly available data is collected. **Do I need an account on Duolingo?** No. **Do I need an API key?** No. **Can I run it on a schedule?** Yes, via Apify Scheduler. **What output formats are supported?** CSV, Excel, JSON, XML, RSS. **How fresh is the data?** Live at the moment of each run. **Is there a free tier?** Yes, 10 records per run on the free plan. **Can I filter by location?** Yes, via the state/city inputs. **What if a record is missing fields?** The actor leaves them null and never fabricates data. **Who do I contact for help?** Open our [contact form](https://tally.so/r/BzdKgA). ### 🔌 Integrate with any app Make, Zapier, n8n, Slack, Airbyte, GitHub Actions, Google Drive, AWS S3, Webhooks, REST API. ### 🔗 Recommended Actors | Actor | What it does | |---|---| | [CDC WONDER Mortality Scraper](https://apify.com/parseforge/cdc-wonder-mortality-scraper) | US mortality statistics. | | [ClinicalTrials.gov Scraper](https://apify.com/parseforge/clinicaltrials-scraper) | Clinical trial registry data. | | [FDA Drug Recalls Scraper](https://apify.com/parseforge/fda-drug-recalls-scraper) | FDA drug enforcement data. | > 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge). **🆘 Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **⚠️ Disclaimer:** independent tool, not affiliated with Duolingo. Only publicly available data is collected. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `fromLanguage` (type: `string`): ISO code (en, es, fr, de, ...) of the learner native language. ## `learningLanguage` (type: `string`): ISO code of the target language. ## Actor input object example ```json { "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped records # 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 = { "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/duolingo-language-data-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 = { "maxItems": 10 } # Run the Actor and wait for it to finish run = client.actor("parseforge/duolingo-language-data-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 '{ "maxItems": 10 }' | apify call parseforge/duolingo-language-data-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/duolingo-language-data-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Duolingo Language Data Scraper | Course Vocabulary Export", "description": "Export Duolingo language course skills, lexemes and translations. Specify source and target language codes to pull the vocabulary set learners encounter. Useful for linguistics research, language app builders and translation tooling. CSV, Excel, JSON or XML.", "version": "0.1", "x-build-id": "pOhydEXUXFCsVbf3W" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~duolingo-language-data-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-duolingo-language-data-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~duolingo-language-data-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-duolingo-language-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~duolingo-language-data-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-duolingo-language-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "fromLanguage": { "title": "Source Language Code", "type": "string", "description": "ISO code (en, es, fr, de, ...) of the learner native language." }, "learningLanguage": { "title": "Learning Language Code", "type": "string", "description": "ISO code of the target language." } } }, "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 } } } } } } } } } } ```