# Redbubble Scraper (AI POWERED) (`ac_devth/redbubble-intelligent-crawler`) Actor Automatically research any Redbubble niche with AI. Enter keywords, pick product types, and get back structured JSON analysis — saturation levels, bestseller signals, top design themes, and market gaps — powered by a stealth Firefox browser and LLM. - **URL**: https://apify.com/ac\_devth/redbubble-intelligent-crawler.md - **Developed by:** [A- Coding](https://apify.com/ac_devth) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 3 total users, 2 monthly users, 40.0% runs succeeded, 1 bookmarks - **User rating**: 4.00 out of 5 stars ## Pricing from $50.00 / 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 ## Redbubble Market Intelligence Crawler Automatically research any Redbubble niche with AI. Enter keywords, pick product types, and get back structured JSON analysis — saturation levels, bestseller signals, top design themes, and market gaps — powered by a stealth Firefox browser and LLM extraction. --- ### What It Does For each keyword + product type combination you provide, the actor: 1. Opens Redbubble in a stealth Firefox browser (Camoufox — undetectable by bot filters) 2. Navigates via residential proxies for IP rotation and Cloudflare bypass 3. Runs global block detection — retries automatically if a challenge page is served 4. Extracts page content and sends it to an LLM 5. Returns a flat JSON record per job with your custom analysis --- ### Input Fields #### Keywords *(required unless using Raw URLs)* The niches or topics you want to research. Each keyword is paired with every product type you select, creating one crawl job per combination. ```` electrician dark academia nurse life cottagecore ```` #### Product Types Which Redbubble categories to search. Defaults to **All Products** for a broad view. Select multiple to compare saturation across categories for the same keyword. Available options: All Products, T-Shirts, Stickers, Hoodies & Sweatshirts, Phone Cases, Art Prints, Posters, Mugs, Tote Bags, Throw Pillows, Laptop Skins, Notebooks & Journals, Tapestries, Masks. #### Sort Order Controls how Redbubble ranks results before the LLM sees them. | Option | Best for | |---|---| | **Top Selling** *(default)* | Market research — shows proven bestsellers | | Most Relevant | General search intent | | Newest | Spotting emerging trends early | | Price: Low / High | Pricing research | #### LLM Extraction Instruction The prompt sent to the AI for each page. Write it however you need — the actor adapts to any output shape. Examples: - *"List every product title visible on this page as a JSON array"* - *"Extract the price range and number of reviews for each item"* - *"Identify any recurring color palettes or art styles in the top 20 results"* The default instruction extracts: total results, saturation level, sales signals in top 10, recurring design themes, niche assessment, and demand/oversupply indicators. #### Include Mature Content Toggle adult content inclusion. Off by default. #### Use Apify Proxy Routes requests through Apify residential proxies. **Strongly recommended** — Redbubble uses Cloudflare and will block datacenter IPs. Enabled by default. #### Proxy Groups Which Apify proxy pool to use. Default: `RESIDENTIAL`. #### Raw URLs *(advanced)* Skip the keyword builder entirely and crawl specific URLs directly. Useful when you've already built a Redbubble URL with custom filters, or when crawling a non-Redbubble site. --- ### Example Inputs **Simple — one keyword, one product type:** ```json { "keywords": ["electrician"], "product_types": ["t-shirts"], "sort_order": "top selling" } ```` **Batch research — multiple niches across multiple product types:** ```json { "keywords": ["electrician", "nurse life", "dark academia"], "product_types": ["t-shirts", "stickers", "mugs"], "sort_order": "top selling" } ``` This creates 9 crawl jobs (3 keywords × 3 product types). **Custom extraction instruction:** ```json { "keywords": ["cottagecore"], "product_types": ["all-departments"], "sort_order": "top selling", "instruction": "List the top 10 product titles visible, their approximate price, and any visible review counts. Return as a JSON object." } ``` **Advanced — raw URLs:** ```json { "urls": [ "https://www.redbubble.com/shop?query=electrician&sortOrder=top+selling&iaCode=t-shirts", "https://www.redbubble.com/shop?query=nurse+life&sortOrder=recent&iaCode=stickers" ] } ``` *** ### Dyanmic Output Format (Example) Each completed job produces one flat JSON record in the dataset. The fields returned by the LLM vary based on your instruction — the four metadata fields are always present: ```json { "keyword": "electrician", "product_type": "t-shirts", "sort_order": "top selling", "url": "https://www.redbubble.com/shop?query=electrician&...", "total_results": "1000+", "saturation_level": "high", "sales_signals_in_top_10": 7, "recurring_design_themes": [ "Funny electrician puns", "Vintage lightning bolt graphics", "Minimalist wiring diagrams" ], "niche_assessment": "opportunity", "demand_oversupply_indicators": { "strong_demand_signals": ["Multiple bestseller badges", "Recurring popular themes"], "oversupply_indicators": ["High listing volume"] } } ``` The **Overview tab** in Apify Console shows the stable metadata columns (`keyword`, `product_type`, `sort_order`, `saturation_level`, `niche_assessment`, `url`). The **All Fields tab** shows the complete LLM output. Failed jobs are non-fatal — the run continues and records the error: ```json { "keyword": "...", "product_type": "...", "sort_order": "...", "url": "https://...", "error": "reason for failure" } ``` *** ### Performance & Limits | Setting | Default | Env var to override | |---|---|---| | Rate limit | 35 req/min | `RATE_LIMIT_RPM` | | Concurrency | 3 parallel browsers | `MAX_CONCURRENCY` | | Retries | 2 (backoff: 2s, 4s) | `MAX_RETRIES` | | Timeout | 120s per page | `CRAWL_TIMEOUT_SECONDS` | Typical cost: **~$0.06 per keyword/product combination.** A batch of 50 keywords × 3 product types (150 jobs) runs for roughly $9. *** ### Calling via API Start a run: ```bash curl -X POST \ "https://api.apify.com/v2/acts/YOUR_USERNAME~camoufox-crawler/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "keywords": ["electrician", "nurse life"], "product_types": ["t-shirts", "stickers"], "sort_order": "top selling" }' ``` Fetch results when done: ```bash curl "https://api.apify.com/v2/acts/YOUR_USERNAME~camoufox-crawler/runs/last/dataset/items?token=YOUR_API_TOKEN" ``` *** ### How Block Detection Works After every page load the actor checks: - **Page title** — scanned for Cloudflare signals ("Just a moment", "Attention Required", etc.) - **Body HTML** — scanned for known challenge fingerprints (`cf_chl_opt`, `recaptcha`, `px-captcha`, etc.) If a block is detected the request is retried with a fresh browser session and proxy rotation. After all retries are exhausted the job is recorded as failed and the run continues. # Actor input Schema ## `keywords` (type: `array`): One or more niche or product keywords to research. Each keyword is combined with every selected product type to form one crawl job. Examples: electrician, cottagecore, dark academia, motivational quotes, nurse life ## `product_types` (type: `array`): Which Redbubble product categories to search. Each keyword × each product type = one crawl job. Leave as 'All Products' for a broad market overview, or pick specific types to compare saturation across categories. ## `sort_order` (type: `string`): How to sort Redbubble search results. 'Top Selling' is recommended for market research as it surfaces proven bestsellers. Use 'Newest' to spot emerging trends. ## `include_mature` (type: `boolean`): Whether to include mature/adult content in results. ## `instruction` (type: `string`): Tell the AI exactly what to extract and return from each page. The output will always be a JSON object with a 'results' key. You can customise this to extract anything — saturation signals, design themes, pricing, bestseller patterns, gaps, etc. ## `urls` (type: `array`): Optional. Bypass the keyword builder and crawl these exact URLs directly. Useful for targeting a specific Redbubble page with custom filters already applied, or for crawling non-Redbubble sites entirely. ## Actor input object example ```json { "keywords": [ "electrician", "cottagecore", "dark academia" ], "product_types": [ "all-departments" ], "sort_order": "top selling", "include_mature": false, "instruction": "Analyze this Redbubble search results page. Return ONLY a valid JSON object. Focus on: exact total number of results, saturation level (low/medium/high), sales signals in top 10 results (reviews, favorites, bestseller badges), 3-5 specific top design styles/themes, gap assessment, and clear indicators of demand or oversupply.", "urls": [ "https://www.redbubble.com/shop?query=electrician&sortOrder=top+selling&iaCode=t-shirts", "https://www.redbubble.com/shop?query=nurse+life&sortOrder=recent&iaCode=stickers" ] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("ac_devth/redbubble-intelligent-crawler").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 = {} # Run the Actor and wait for it to finish run = client.actor("ac_devth/redbubble-intelligent-crawler").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 '{}' | apify call ac_devth/redbubble-intelligent-crawler --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ac_devth/redbubble-intelligent-crawler", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Redbubble Scraper (AI POWERED)", "description": "Automatically research any Redbubble niche with AI. Enter keywords, pick product types, and get back structured JSON analysis — saturation levels, bestseller signals, top design themes, and market gaps — powered by a stealth Firefox browser and LLM.", "version": "0.0", "x-build-id": "6Be1glNtVliGpDuBL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ac_devth~redbubble-intelligent-crawler/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ac_devth-redbubble-intelligent-crawler", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ac_devth~redbubble-intelligent-crawler/runs": { "post": { "operationId": "runs-sync-ac_devth-redbubble-intelligent-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ac_devth~redbubble-intelligent-crawler/run-sync": { "post": { "operationId": "run-sync-ac_devth-redbubble-intelligent-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Search Keywords", "type": "array", "description": "One or more niche or product keywords to research. Each keyword is combined with every selected product type to form one crawl job.\n\nExamples: electrician, cottagecore, dark academia, motivational quotes, nurse life", "items": { "type": "string" } }, "product_types": { "title": "Product Types", "type": "array", "description": "Which Redbubble product categories to search. Each keyword × each product type = one crawl job. Leave as 'All Products' for a broad market overview, or pick specific types to compare saturation across categories.", "items": { "type": "string", "enum": [ "all-departments", "t-shirts", "stickers", "hoodies-sweatshirts", "phone-cases", "art-prints", "posters", "mugs", "tote-bags", "throw-pillows", "laptop-skins", "notebooks-journals", "tapestries", "masks" ], "enumTitles": [ "All Products", "T-Shirts", "Stickers", "Hoodies & Sweatshirts", "Phone Cases", "Art Prints", "Posters", "Mugs", "Tote Bags", "Throw Pillows", "Laptop Skins", "Notebooks & Journals", "Tapestries", "Masks" ] }, "default": [ "all-departments" ] }, "sort_order": { "title": "Sort Order", "enum": [ "top selling", "relevant", "recent", "price-asc", "price-desc" ], "type": "string", "description": "How to sort Redbubble search results. 'Top Selling' is recommended for market research as it surfaces proven bestsellers. Use 'Newest' to spot emerging trends.", "default": "top selling" }, "include_mature": { "title": "Include Mature Content", "type": "boolean", "description": "Whether to include mature/adult content in results.", "default": false }, "instruction": { "title": "LLM Extraction Instruction", "type": "string", "description": "Tell the AI exactly what to extract and return from each page. The output will always be a JSON object with a 'results' key. You can customise this to extract anything — saturation signals, design themes, pricing, bestseller patterns, gaps, etc.", "default": "Analyze this Redbubble search results page. Return ONLY a valid JSON object. Focus on: exact total number of results, saturation level (low/medium/high), sales signals in top 10 results (reviews, favorites, bestseller badges), 3-5 specific top design styles/themes, gap assessment, and clear indicators of demand or oversupply." }, "urls": { "title": "Raw URLs (Advanced)", "type": "array", "description": "Optional. Bypass the keyword builder and crawl these exact URLs directly. Useful for targeting a specific Redbubble page with custom filters already applied, or for crawling non-Redbubble sites entirely.", "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 } } } } } } } } } } ```