# Figma Templates Scraper (`lexis-solutions/figma-templates-scraper`) Actor Scrape Figma Community design templates: title, author, likes, duplicates, tags, category, and public template details from category or search pages. - **URL**: https://apify.com/lexis-solutions/figma-templates-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.64 / 1,000 templates 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Figma Templates Scraper ![banner](https://i.ibb.co/5gVSMYQ5/Screenshot-2026-07-16-at-5-19-05-PM.png) Figma Community Design Templates (figma.com/community/design-templates) is Figma's hub of publishable design template files, organized by category and editor type. This actor starts from Figma Community category/search pages or direct template URLs and extracts structured data for each design template into an Apify dataset. ### Introduction The Figma Templates scraper is built specifically for Figma's design-template listings — a niche distinct from a generic Figma Community crawl. It follows category/search URLs to discover templates, then visits each template's page to collect title, author, likes, duplicates (remixes), tags, category, and other public details. ### Use Cases - **Design asset discovery**: Build structured lists of Figma design templates by category. - **Creative market research**: Compare template popularity (likes, duplicates), tags, and categories. - **Trend tracking**: Monitor which template styles and editors are gaining traction over time. - **Directory enrichment**: Feed template metadata into internal design-asset catalogs or research tools. - **Analytics pipelines**: Export structured template data for BI tools and dashboards. ### Input Provide the following fields: - `startUrls` (array, required): Figma Community design template category/search URLs, or direct template detail URLs. - `maxItems` (integer, optional): Maximum number of templates to scrape per category/search start URL. Use `0` or leave empty to scrape all templates found. - `proxyConfiguration` (object, optional): Apify proxy settings. Not required — the scraper works without a proxy. Notes: - If a `startUrl` is a Figma Community category/search URL (e.g. ending with `/community/design-templates`), the actor discovers template links from that page. - If a `startUrl` is a direct template URL such as `/community/file/`, the actor scrapes that template directly. - `maxItems` is applied per category/search start URL; direct template URLs always return one item each. ### Input Example ```json { "startUrls": [ { "url": "https://www.figma.com/community/design-templates?resource_type=files&editor_type=figma" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ```` ### Output Each dataset item contains fields like: ```json { "url": "https://www.figma.com/community/file/891225702324436074", "resourceId": "c867df30-ecd1-4470-ab4c-82722721a49b", "contentId": "891225702324436074", "title": "User Journey Map Template", "tagline": null, "description": "I had created a template while working on a project and thought It would be a good idea to share it in the community...", "resourceType": "design_template", "editorTypes": ["design"], "tags": [ "journey map", "user journey map", "user research", "ux design", "ux research" ], "category": "Other", "categorySlug": "design-templates-other", "parentCategorySlug": "design-templates", "author": "Saroj Shahi", "authorProfileUrl": "https://www.figma.com/@saroj", "authorImageUrl": "https://s3-alpha.figma.com/profile/d88605f6-b1a5-4567-88fe-bcc2c4d0d72a", "authorFollowerCount": 248, "authorLocation": "Kathmandu, Nepal", "likes": 1214, "duplicates": 43270, "viewCount": 0, "commentCount": 28, "thumbnailUrl": "https://s3-figma-hubfile-images-production-cdn-cgi.figma.com/.../cover.png", "images": [ "https://s3-figma-hubfile-images-production-cdn-cgi.figma.com/..." ], "publishingStatus": "approved_public", "publishScope": "community", "isMonetized": false, "supportContact": "sarojshahi.com", "publishedAt": "2024-11-26T16:48:46.778Z", "updatedAt": "2026-05-21T03:54:39.124Z" } ``` The exact fields may vary by template because Figma does not expose every detail (e.g. tags, tagline) consistently on every listing. ### Why use the Figma Templates Scraper? - **Focused**: Built specifically for Figma Community design-template pages, not a generic Community crawl. - **Structured output**: Ready-to-use JSON records for research, cataloging, and automation. - **Per-URL limits**: `maxItems` is enforced per category/search start URL. - **Flexible input**: Supports both category/search URLs and direct template URLs. - **Rich details**: Extracts likes, duplicates, tags, category, and author profile data. - **Apify-native**: Works with Apify datasets, request queue, proxy configuration, schedules, and API access. ### FAQ - **How many templates can it extract?** Controlled by `maxItems` per category/search start URL. Direct template URLs are scraped one by one. - **Do I need proxies?** No. The scraper runs without a proxy. You can optionally add one (e.g. residential) if you hit anti-bot blocks at higher volume. - **Can I start from a direct template URL?** Yes. Direct Figma Community template URLs are supported. - **Why are some fields empty?** Some fields depend on what the template's creator filled in — tags, tagline, and description are optional on Figma and may be missing on some templates. - **What if Figma changes their website structure?** The actor may require updates to keep extraction stable. ### Need to scrape similar design and creative-asset data? Check out related scrapers from this repository: - [n8n Workflow Templates Scraper](https://apify.com/lexis-solutions/n8n-workflow-templates-scraper) — n8n workflow templates from n8n website. - [n8n Integrations Scraper](https://apify.com/lexis-solutions/n8n-integrations-scraper) — n8n integrations from n8n website. - [ChatGPT Marketplace Scraper](https://apify.com/lexis-solutions/chatgpt-marketplace-scraper) — ChatGPT marketplace from OpenAI website. *** **Need help or want a custom solution?** Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions). ### Support Our Work If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. ### Image Credit Image credit: https://www.figma.com # Actor input Schema ## `startUrls` (type: `array`): Figma Community design template category/search URLs (e.g. the Design Templates category) or direct template detail URLs. ## `maxItems` (type: `integer`): Maximum number of templates to scrape per category/search start URL. Use 0 or leave empty for all templates found. ## `proxyConfiguration` (type: `object`): Proxy configuration used for Figma requests. The scraper works without a proxy; configure one only if you start hitting anti-bot blocks at higher volume. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.figma.com/community/design-templates?resource_type=files&editor_type=figma" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (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 = { "startUrls": [ { "url": "https://www.figma.com/community/design-templates?resource_type=files&editor_type=figma" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/figma-templates-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 = { "startUrls": [{ "url": "https://www.figma.com/community/design-templates?resource_type=files&editor_type=figma" }], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/figma-templates-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 '{ "startUrls": [ { "url": "https://www.figma.com/community/design-templates?resource_type=files&editor_type=figma" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } }' | apify call lexis-solutions/figma-templates-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/figma-templates-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Figma Templates Scraper", "description": "Scrape Figma Community design templates: title, author, likes, duplicates, tags, category, and public template details from category or search pages.", "version": "1.0", "x-build-id": "fD9E1WZhubP76A5pb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~figma-templates-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-figma-templates-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~figma-templates-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-figma-templates-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~figma-templates-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-figma-templates-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Figma Community design template category/search URLs (e.g. the Design Templates category) or direct template detail URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum number of templates", "minimum": 0, "type": "integer", "description": "Maximum number of templates to scrape per category/search start URL. Use 0 or leave empty for all templates found.", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration used for Figma requests. The scraper works without a proxy; configure one only if you start hitting anti-bot blocks at higher volume.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```