# EBI OLS Ontologies Scraper (`parseforge/ebi-ols-ontologies-scraper`) Actor Discover structured records from Ebi Ols Ontologies with names, identifiers, dates, descriptions, status flags and source links. Ideal for research, intelligence and operational dashboards. Run on demand or on a recurring schedule and feed every row into your favourite analytics or workflow stack. - **URL**: https://apify.com/parseforge/ebi-ols-ontologies-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** News, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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) ## ๐Ÿงฌ EBI OLS Ontologies Scraper > ๐Ÿš€ **Pull the EMBL-EBI Ontology Lookup Service (OLS4) registry of biomedical ontologies.** Open as tabular records, or tabular. > ๐Ÿ•’ **Last updated:** 2026-05-27 ยท **๐Ÿ“Š 12+ fields** per record ยท Live data Pulls every ontology indexed by EMBL-EBI OLS4 with metadata: ontology ID, title, description, version, namespace, term counts, base URIs and source file. --- ### Target Audience / Use Cases | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Analysts | Source data extraction | | Researchers | Academic and policy studies | | Journalists | Data-driven storytelling | | Businesses | Market and competitive intelligence | | Developers | Power data products | --- ### ๐Ÿ“‹ What this scraper does - Connects to the official source - Pulls every record matching your filters - Returns structured rows ready for analysis - Outputs tabular, tabular, spreadsheet, tabular > ๐Ÿ’ก **Why it matters:** skip manual collection and get clean structured data in seconds. --- ### ๐ŸŽฌ Full Demo ๐Ÿšง Coming soon --- ### โš™๏ธ Input
FieldTypeDescription
maxItemsintegerFree users: Limited to 10 items. Paid users: Optional, max 1,000,000.
```tabular { "maxItems": 5 } ```` > โš ๏ธ **Good to Know:** the actor returns whatever the live source returns at runtime. *** ### ๐Ÿ“Š Output Key fields: ontologyId, title, description, preferredPrefix, numberOfTerms, numberOfProperties, numberOfIndividuals, languages, homepage, fileLocation, loaded, updated, sourceUrl, scrapedAt. *** ### โœจ Why choose this Actor - ๐ŸŸข Backed by official source data - ๐ŸŸข No login or API key required - ๐ŸŸข Up to 1,000,000 records per paid run - ๐ŸŸข Multiple pull shape *** ### ๐Ÿ“ˆ How it compares to alternatives | Option | Free | Bulk | Live | |---|---|---|---| | Source website | Yes | No | Yes | | **ParseForge Scraper** | **Yes** | **Yes** | **Live** | *** ### ๐Ÿš€ How to use 1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. Open this actor in the Apify Console 3. Set your input filters (or use the prefill) 4. Click **Start** and wait for the run to finish 5. Open the dataset as tabular records *** ### ๐Ÿ’ผ Business use cases - Market intelligence - Competitive monitoring - Lead research - Trend analysis *** ### ๐Ÿ”Œ Automating EBI OLS Ontologies Scraper Trigger runs from Make, Zapier, n8n, Airbyte, GitHub Actions, Google Sheets, Slack, Airtable or any HTTP client via the Apify API. *** ### ๐ŸŒŸ Beyond business use cases - Research and academic studies - Personal data projects - Non-profit transparency - Tech experimentation *** ### ๐Ÿค– Ask an AI assistant Open the run URL with ChatGPT, Claude, Perplexity or Copilot for instant insights. *** ### โ“ Frequently Asked Questions **Is this affiliated with the source?** No. **Is login required?** No, only public data. **Can I pull to spreadsheet?** Yes. **Is the data live?** Yes, every run. **What's the maximum number of records?** Up to 1,000,000 on paid plans. *** ### ๐Ÿ”Œ Integrate with any app Apify API works with REST, webhooks, Make, Zapier, Airbyte, n8n, Slack, Google Drive, GitHub, Airtable. *** ### ๐Ÿ”— Recommended Actors | Actor | What it does | |---|---| | [Google Maps Scraper](https://apify.com/compass/crawler-google-places) | Business listings from Google Maps | | [LinkedIn Profile Scraper](https://apify.com/curious_coder/linkedin-profile-scraper) | Public LinkedIn profile data | | [Amazon Product Scraper](https://apify.com/junglee/amazon-crawler) | Amazon product listings | > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge). **๐Ÿ†˜ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **โš ๏ธ Disclaimer:** independent tool, not affiliated with the source. Only publicly available data collected. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## Actor input object example ```json { "maxItems": 10 } ``` # 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 = { "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/ebi-ols-ontologies-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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/ebi-ols-ontologies-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxItems": 10 }' | apify call parseforge/ebi-ols-ontologies-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/ebi-ols-ontologies-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EBI OLS Ontologies Scraper", "description": "Discover structured records from Ebi Ols Ontologies with names, identifiers, dates, descriptions, status flags and source links. Ideal for research, intelligence and operational dashboards. Run on demand or on a recurring schedule and feed every row into your favourite analytics or workflow stack.", "version": "0.1", "x-build-id": "tR2vfZYaxPrfhQ52a" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~ebi-ols-ontologies-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-ebi-ols-ontologies-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~ebi-ols-ontologies-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-ebi-ols-ontologies-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~ebi-ols-ontologies-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-ebi-ols-ontologies-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" } } }, "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 } } } } } } } } } } ```