# HotUKDeals Deals Scraper (`automation-lab/hotukdeals-deals-scraper`) Actor 🛒 Scrape public HotUKDeals deals with prices, merchants, temperatures, comments, categories, voucher codes, and deal URLs. - **URL**: https://apify.com/automation-lab/hotukdeals-deals-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## HotUKDeals Deals Scraper Extract public deal listings from HotUKDeals for price intelligence, merchant monitoring, voucher tracking, and retail trend research. ### What does HotUKDeals Deals Scraper do? HotUKDeals Deals Scraper collects structured deal data from public HotUKDeals listing pages. It reads server-rendered deal cards and returns clean dataset rows with prices, merchants, temperatures, comments, categories, timestamps, voucher codes, and deal URLs. You can scrape the main deals feed, category pages, tag pages, and search result pages that are publicly available on `hotukdeals.com`. ### Who is it for? Retail teams use it to monitor how products and merchants perform in the UK deals community. Affiliate teams use it to discover promoted merchants, voucher codes, and fast-moving bargains. E-commerce sellers use it to watch competitor prices and deal temperature trends. Market researchers use it to build datasets of consumer interest around discounts and product categories. Developers use it to feed HotUKDeals deal data into dashboards, alerts, spreadsheets, or data warehouses. ### Why use this actor? - 🛒 Track UK deals and marketplace offers - 🌡️ Capture community temperature / hotness signals - 💬 Include comment counts for engagement analysis - 🏷️ Extract merchant and category metadata - 💸 Capture current and old prices when available - 🎟️ Preserve voucher codes when listed - 🔗 Export stable deal URLs for follow-up workflows - ⚡ Uses HTTP extraction without a browser for low-cost runs ### What data can you extract? | Field | Description | | --- | --- | | `dealId` | HotUKDeals thread/deal identifier | | `title` | Deal title | | `description` | Listing snippet / description text | | `price` | Current deal price when present | | `oldPrice` | Previous or next-best price when present | | `discountPercent` | Discount percentage when HotUKDeals exposes it | | `merchant` | Merchant or retailer name | | `category` | Main HotUKDeals group/category | | `temperature` | Deal temperature / hotness score | | `commentCount` | Number of comments | | `postedAt` | Publication timestamp | | `expired` | Whether the deal is expired | | `voucherCode` | Voucher code when visible | | `dealUrl` | Public HotUKDeals thread URL | ### How much does it cost to scrape HotUKDeals deals? This actor uses pay-per-event pricing. You pay a small run-start event and a per-result event for each saved deal. Formula-derived pricing rounded up to the platform's accepted tier granularity is `$0.00005` per saved deal on BRONZE, or about `$0.05 per 1,000 saved deals`, plus a `$0.005` run-start event. Free-tier per-result pricing is `$0.0000575`, with lower per-result prices for higher Apify subscription tiers. ### How to use HotUKDeals Deals Scraper 1. Open the actor on Apify. 2. Add one or more HotUKDeals listing URLs. 3. Set `Maximum deals` to the number of rows you need. 4. Set `Maximum pages per URL` for pagination depth. 5. Choose whether to include expired deals. 6. Run the actor. 7. Download results as JSON, CSV, Excel, XML, RSS, or HTML. ### Input example ```json { "startUrls": [ { "url": "https://www.hotukdeals.com/deals" }, { "url": "https://www.hotukdeals.com/tag/electronics" } ], "maxItems": 50, "maxPagesPerStartUrl": 3, "includeExpired": false } ```` ### Input fields #### Start URLs HotUKDeals pages to scrape. Use public URLs such as: - `https://www.hotukdeals.com/deals` - `https://www.hotukdeals.com/vouchers` - `https://www.hotukdeals.com/tag/electronics` - HotUKDeals search result URLs #### Maximum deals Stops the run after this many deal rows have been saved. Use a low number for quick tests and higher values for production monitoring. #### Maximum pages per URL Controls how deep the scraper paginates from each start URL. The actor uses HotUKDeals `page` query pagination. #### Include expired deals By default, expired deals are skipped when they appear in listing pages. Turn this on if you need historical context or expired voucher analysis. ### Output example ```json { "sourceUrl": "https://www.hotukdeals.com/deals", "dealId": "4910371", "title": "Oral-B Cross Action Brush Heads 10 Pack - Instore (Coventry)", "description": "Found in Costco Coventry...", "price": 17.99, "oldPrice": 20.99, "merchant": "Costco", "category": "Health & Beauty", "temperature": 107.73, "commentCount": 0, "postedAt": "2026-06-11T12:32:51.000Z", "expired": false, "hot": true, "local": true, "dealUrl": "https://www.hotukdeals.com/deals/oral-b-cross-action-brush-heads-10-pack-4910371", "author": "Saeloj" } ``` ### Tips for better results - Start with the main deals feed for broad monitoring. - Use category or tag pages for niche product research. - Keep `maxItems` small when testing new URLs. - Use search result URLs when tracking specific brands or product names. - Export CSV for spreadsheet workflows. - Export JSON for APIs, automations, and data warehouses. ### Common use cases #### Merchant monitoring Track how often a retailer appears on HotUKDeals and which offers become hot. #### Price intelligence Compare current deal prices against old prices and detect aggressive discounts. #### Voucher intelligence Collect visible voucher codes and the merchants using them. #### Trend dashboards Build dashboards for hot categories, active retailers, and high-temperature deal topics. #### Affiliate discovery Identify merchants and products gaining attention in a deal-driven community. ### Integrations You can connect this actor to: - Google Sheets for deal monitoring tables - Slack or Discord alerts for hot deals - Airtable bases for merchant tracking - BigQuery or Snowflake for BI pipelines - Make, Zapier, or n8n automation workflows - Custom Node.js or Python services through the Apify API ### API usage with Node.js ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('automation-lab/hotukdeals-deals-scraper').call({ startUrls: [{ url: 'https://www.hotukdeals.com/deals' }], maxItems: 50, maxPagesPerStartUrl: 3 }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### API usage with Python ```python from apify_client import ApifyClient import os client = ApifyClient(os.environ['APIFY_TOKEN']) run = client.actor('automation-lab/hotukdeals-deals-scraper').call(run_input={ 'startUrls': [{'url': 'https://www.hotukdeals.com/deals'}], 'maxItems': 50, 'maxPagesPerStartUrl': 3, }) items = client.dataset(run['defaultDatasetId']).list_items().items print(items) ``` ### API usage with cURL ```bash curl -X POST "https://api.apify.com/v2/acts/automation-lab~hotukdeals-deals-scraper/runs?token=$APIFY_TOKEN" \ -H 'Content-Type: application/json' \ -d '{"startUrls":[{"url":"https://www.hotukdeals.com/deals"}],"maxItems":50,"maxPagesPerStartUrl":3}' ``` ### MCP integration Use Apify MCP to call this actor from AI tools. Claude Code MCP URL: `https://mcp.apify.com/?tools=automation-lab/hotukdeals-deals-scraper` Add it from Claude Code with: ```bash claude mcp add apify-hotukdeals "https://mcp.apify.com/?tools=automation-lab/hotukdeals-deals-scraper" ``` Claude Desktop can use this MCP server configuration: ```json { "mcpServers": { "apify-hotukdeals": { "url": "https://mcp.apify.com/?tools=automation-lab/hotukdeals-deals-scraper" } } } ``` Example prompts: - "Run HotUKDeals Deals Scraper for electronics deals and summarize the hottest merchants." - "Find deals above 200 degrees and group them by category." - "Compare current and old prices from the latest HotUKDeals dataset." ### Data quality notes HotUKDeals fields vary by deal. Some deals have no old price. Some deals have no voucher code. Some local/in-store deals may not expose an outbound merchant URL. The actor keeps optional fields empty instead of inventing values. ### Legality This actor extracts publicly available HotUKDeals pages. Use the data responsibly. Respect HotUKDeals terms, privacy rules, and applicable laws. Do not scrape personal data beyond what is necessary for your legitimate use case. ### FAQ #### Is HotUKDeals login required? No. The actor scrapes public listing pages only. #### Can I monitor a single category? Yes. Add a category or tag URL such as `https://www.hotukdeals.com/tag/electronics` to `startUrls`. #### Can I export to a spreadsheet? Yes. Download the Apify dataset as CSV, Excel, or JSON. ### Troubleshooting #### Why did I get fewer deals than requested? The page may contain fewer public non-expired deals than your limit, or duplicate deal IDs may have been skipped. Increase `maxPagesPerStartUrl` or enable `includeExpired` if you need more rows. #### Why is a price missing? Not every HotUKDeals thread exposes a numeric price. Freebies, discussions, and voucher posts may not have a standard price. #### Can I scrape search pages? Yes. Paste a public HotUKDeals search result URL into `startUrls`. #### Does it require login? No. The actor reads public listing pages only. ### Related scrapers Other automation-lab actors you may use with this workflow: - https://apify.com/automation-lab/ebay-sold-items-scraper - https://apify.com/automation-lab/google-shopping-scraper - https://apify.com/automation-lab/amazon-product-scraper - https://apify.com/automation-lab/retail-monitoring-scraper ### Changelog #### 0.1.0 Initial HotUKDeals public listing scraper with deal metadata, prices, merchant, temperature, comments, timestamps, and voucher support. ### Support If a run fails, open the run log and include the input URL, run ID, and expected result in your support request. # Actor input Schema ## `startUrls` (type: `array`): HotUKDeals listing, category, tag, voucher, or search URLs to scrape. Leave the default to scrape the main deals feed. ## `maxItems` (type: `integer`): Maximum number of deal rows to save across all start URLs. ## `maxPagesPerStartUrl` (type: `integer`): How many paginated HotUKDeals listing pages to visit for each start URL. ## `includeExpired` (type: `boolean`): Save expired deals when HotUKDeals includes them in the listing response. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.hotukdeals.com/deals" }, { "url": "https://www.hotukdeals.com/tag/electronics" } ], "maxItems": 20, "maxPagesPerStartUrl": 3, "includeExpired": 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.hotukdeals.com/deals" }, { "url": "https://www.hotukdeals.com/tag/electronics" } ], "maxItems": 20, "maxPagesPerStartUrl": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/hotukdeals-deals-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.hotukdeals.com/deals" }, { "url": "https://www.hotukdeals.com/tag/electronics" }, ], "maxItems": 20, "maxPagesPerStartUrl": 3, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/hotukdeals-deals-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.hotukdeals.com/deals" }, { "url": "https://www.hotukdeals.com/tag/electronics" } ], "maxItems": 20, "maxPagesPerStartUrl": 3 }' | apify call automation-lab/hotukdeals-deals-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/hotukdeals-deals-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "HotUKDeals Deals Scraper", "description": "🛒 Scrape public HotUKDeals deals with prices, merchants, temperatures, comments, categories, voucher codes, and deal URLs.", "version": "0.1", "x-build-id": "suXb4S4w9xELwgIyo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~hotukdeals-deals-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-hotukdeals-deals-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/automation-lab~hotukdeals-deals-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-hotukdeals-deals-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/automation-lab~hotukdeals-deals-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-hotukdeals-deals-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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "HotUKDeals listing, category, tag, voucher, or search URLs to scrape. Leave the default to scrape the main deals feed.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum deals", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of deal rows to save across all start URLs.", "default": 50 }, "maxPagesPerStartUrl": { "title": "Maximum pages per URL", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many paginated HotUKDeals listing pages to visit for each start URL.", "default": 5 }, "includeExpired": { "title": "Include expired deals", "type": "boolean", "description": "Save expired deals when HotUKDeals includes them in the listing response.", "default": 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 } } } } } } } } } } ```