# Airtable Universe Scraper (`crawlerbros/airtable-universe-scraper`) Actor Scrape Airtable Universe with browse, search, or filter community-shared Airtable base templates by category. Extract title, description, author, tags, cover image, and template URL. - **URL**: https://apify.com/crawlerbros/airtable-universe-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 7 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Airtable Universe Scraper Scrape templates from **Airtable Universe** — the public gallery of community-shared Airtable bases. Browse all featured templates, filter by any of 21 categories, or fetch specific template pages by URL. --- ### What you can do | Task | How | |---|---| | Browse featured templates | Use `browse` mode | | Get all templates in a category | Use `byCategory` mode + pick a category | | Fetch specific templates by URL | Use `byTemplateUrls` mode | | Discover new community bases | Run periodically and compare datasets | --- ### Input fields | Field | Type | Required | Description | |---|---|---|---| | `mode` | Select | Yes | `browse`, `byCategory`, or `byTemplateUrls` | | `category` | Select | When mode=byCategory | Category slug (21 options available) | | `startUrls` | Array | When mode=byTemplateUrls | Direct Airtable Universe template URLs | | `maxItems` | Integer (1–2000) | No | Maximum number of results (default 50) | #### Available categories | Slug | Label | |---|---| | `arts-and-culture` | Arts and culture | | `community-mobilization` | Community mobilization | | `creative-production` | Creative production | | `education` | Education | | `entrepreneurship` | Entrepreneurship | | `fashion-and-style` | Fashion and style | | `food-and-drink` | Food and drink | | `government-and-politics` | Government and politics | | `health-and-self-improvement` | Health and self-improvement | | `journalism-and-publishing` | Journalism and publishing | | `local-interest` | Local interest | | `marketing-and-sales` | Marketing and sales | | `nonprofits-and-volunteering` | Nonprofits and volunteering | | `operations` | Operations | | `product-design-and-ux` | Product, design, and UX | | `products-and-consumer-reviews` | Products and consumer reviews | | `professional` | Professional | | `real-estate` | Real estate | | `science-and-technology` | Science and technology | | `sports-and-games` | Sports and games | | `travel-and-outdoors` | Travel and outdoors | #### Example inputs **Browse by category:** ```json { "mode": "byCategory", "category": "marketing-and-sales", "maxItems": 100 } ```` **Fetch specific templates:** ```json { "mode": "byTemplateUrls", "startUrls": [ "https://www.airtable.com/universe/exp7URG8Y71wUM664/sandwich-projects", "https://www.airtable.com/universe/expjml1W9xXTVEQY0/festrunner" ] } ``` *** ### Output fields | Field | Type | Description | |---|---|---| | `applicationId` | String | Unique Airtable Universe app ID (e.g. `expXXXXXXXXX`) | | `slug` | String | URL slug for the template | | `title` | String | Template title | | `description` | String | Template description | | `authorName` | String | Creator name | | `authorProfileUrl` | String | URL to the author's Universe profile | | `category` | String | Category slug this template was found in | | `tags` | Array | Tags/category slugs from the template page | | `relativeDate` | String | Relative publish date (e.g. "7 years ago") | | `copiedCount` | Integer | Number of times this template was copied (detail pages) | | `coverUrl` | String | Cover/thumbnail image URL | | `authorAvatarUrl` | String | Author's avatar image URL | | `templateUrl` | String | Full URL to the template page | | `scrapedAt` | String | ISO 8601 timestamp when scraped | #### Example output record ```json { "applicationId": "expjml1W9xXTVEQY0", "slug": "festrunner", "title": "FestRunner (Original, Retired)", "description": "FestRunner is a database that will help you organize many aspects of a film festival...", "authorName": "Jon Gann/Reel Plan", "authorProfileUrl": "https://www.airtable.com/universe/creator/usrq2cqcb8aYph9pV/jon-gann", "category": "arts-and-culture", "relativeDate": "7 years ago", "coverUrl": "https://dl.airtable.com/exploreCoverImages%2FXbsGzD8LT1KKboxa0NHN_jake-hills-194864.jpg", "authorAvatarUrl": "https://dl.airtable.com/profilePics%2FBmWXtEZOSvmUao8XXRGB_Jon_0714_BSM.jpg", "templateUrl": "https://www.airtable.com/universe/expjml1W9xXTVEQY0/festrunner", "scrapedAt": "2026-05-20T10:00:00+00:00" } ``` *** ### Frequently asked questions **Do I need an Airtable account?** No. Airtable Universe is a public gallery accessible without login. No credentials required. **How many templates can I scrape?** Each category can have hundreds of templates. Set `maxItems` up to 2000. The `byCategory` mode loads all templates for a category at once. **What is the `copiedCount` field?** How many times the template was duplicated by other users. Only available in `byTemplateUrls` mode (detail page). **Can I get templates from all categories at once?** Yes — use `browse` mode. It iterates all 21 categories and deduplicates by `applicationId`. **The `relativeDate` is "7 years ago". Can I get exact dates?** Airtable Universe only shows relative dates on listing pages. Exact timestamps are not exposed on the public site. **How do I find a template URL?** Navigate to any template on `airtable.com/universe` and copy the URL from your browser. *** ### Data source This actor scrapes **airtable.com/universe** — Airtable's publicly accessible community template gallery. No authentication is required. *** ### Limitations - Exact creation dates not available (only relative, e.g. "7 years ago") - `copiedCount` only populated in `byTemplateUrls` mode (requires individual detail page visit) - Airtable's `exploreApplications` REST API requires authentication; this actor uses DOM-based extraction # Actor input Schema ## `mode` (type: `string`): What to scrape. ## `category` (type: `string`): Category slug to browse. Required when mode=byCategory. ## `startUrls` (type: `array`): Direct Airtable Universe template URLs, e.g. https://www.airtable.com/universe/expXXX/slug ## `maxItems` (type: `integer`): Maximum number of templates to return. ## Actor input object example ```json { "mode": "browse", "category": "arts-and-culture", "startUrls": [], "maxItems": 50 } ``` # Actor output Schema ## `templates` (type: `string`): Dataset containing all scraped templates. # 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 = { "mode": "browse", "category": "arts-and-culture", "startUrls": [], "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/airtable-universe-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 = { "mode": "browse", "category": "arts-and-culture", "startUrls": [], "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/airtable-universe-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 '{ "mode": "browse", "category": "arts-and-culture", "startUrls": [], "maxItems": 50 }' | apify call crawlerbros/airtable-universe-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/airtable-universe-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airtable Universe Scraper", "description": "Scrape Airtable Universe with browse, search, or filter community-shared Airtable base templates by category. Extract title, description, author, tags, cover image, and template URL.", "version": "1.0", "x-build-id": "kzYMlom4FlbJWvRGD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~airtable-universe-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-airtable-universe-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~airtable-universe-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-airtable-universe-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~airtable-universe-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-airtable-universe-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "browse", "byCategory", "byTemplateUrls" ], "type": "string", "description": "What to scrape.", "default": "browse" }, "category": { "title": "Category (mode=byCategory)", "enum": [ "arts-and-culture", "community-mobilization", "creative-production", "education", "entrepreneurship", "fashion-and-style", "food-and-drink", "government-and-politics", "health-and-self-improvement", "journalism-and-publishing", "local-interest", "marketing-and-sales", "nonprofits-and-volunteering", "operations", "product-design-and-ux", "products-and-consumer-reviews", "professional", "real-estate", "science-and-technology", "sports-and-games", "travel-and-outdoors" ], "type": "string", "description": "Category slug to browse. Required when mode=byCategory.", "default": "arts-and-culture" }, "startUrls": { "title": "Template URLs (mode=byTemplateUrls)", "type": "array", "description": "Direct Airtable Universe template URLs, e.g. https://www.airtable.com/universe/expXXX/slug", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of templates to return.", "default": 50 } } }, "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 } } } } } } } } } } ```