# Ben's Bargains Scraper (`crawlerbros/bensbargains-scraper`) Actor Scrape Ben's Bargains (bensbargains.com) - a popular deals aggregator. Fetch the latest top deals via the public RSS feed, optionally filtered by keyword. Extracts deal titles, stores, prices, descriptions, image URLs, posted dates, and direct deal URLs. - **URL**: https://apify.com/crawlerbros/bensbargains-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, E-commerce, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## 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 ## Ben's Bargains Scraper Scrape deals and discounts from [Ben's Bargains](https://bensbargains.com) — one of the web's longest-running deal aggregator sites. Fetches deals from the public RSS feed with titles, prices, stores, images, and posted dates. No login or credentials required. ### Features - **Top Deals** — Fetch the latest deal listings from the Ben's Bargains RSS feed - **Search Deals** — Filter deals by keyword (product name, store, or description) - Extracts product title, price, store name, deal URL, image URL, and posted date - Omit-empty output — no null fields in any record ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `mode` | Select | `topDeals` — fetch latest deals; `searchDeals` — filter by keyword | `topDeals` | | `searchQuery` | String | Keyword to search for (e.g. `laptop`, `samsung`, `nike`) | — | | `maxItems` | Integer | Maximum number of deals to return (1–500) | `50` | ### Output Each record contains: | Field | Type | Description | |-------|------|-------------| | `title` | String | Deal title (product name, cleaned) | | `price` | String | Extracted price (e.g. `$599`) | | `store` | String | Retailer name (e.g. `Best Buy`, `Amazon`) | | `description` | String | Deal description text | | `imageUrl` | String | Product/deal image URL | | `postedDate` | String | ISO 8601 timestamp when the deal was posted | | `dealUrl` | String | Direct link to the deal page | | `source` | String | Always `bensbargains.com` | | `scrapedAt` | String | ISO 8601 timestamp when scraped | ### Example Output ```json { "title": "Samsung 65\" 4K QLED TV", "price": "$799", "store": "Best Buy", "description": "Limited time offer on Samsung's flagship 65-inch QLED TV.", "imageUrl": "https://cdn.bensbargains.com/img/12345.jpg", "postedDate": "2025-06-02T12:00:00+00:00", "dealUrl": "https://bensbargains.com/listing/electronics/samsung-65-qled-12345/", "source": "bensbargains.com", "scrapedAt": "2025-06-02T12:05:00+00:00" } ```` ### Use Cases - Monitor deals on electronics, clothing, home goods, and more - Build a price alert or deal notification system - Aggregate discounts from top US retailers (Amazon, Best Buy, Walmart, Target, etc.) - Research pricing trends for product categories ### FAQ **Does this require login?** No. The scraper fetches from Ben's Bargains' public RSS feed — no account or credentials needed. **How fresh is the data?** The RSS feed is updated continuously as new deals are posted. Running the actor fetches the current feed snapshot. **How many deals can I get?** The RSS feed typically contains the 50–100 most recent deals. Use `maxItems` to limit results. **Can I filter by store?** Use `searchDeals` mode with a store name as the `searchQuery` (e.g. `amazon`, `best buy`, `walmart`). **What product categories are covered?** Electronics, computers, clothing, home goods, toys, tools, sports equipment, and more — whatever Ben's Bargains features. # Actor input Schema ## `mode` (type: `string`): What to fetch. ## `searchQuery` (type: `string`): Keyword to filter deals by (e.g. laptop, headphones, gpu). ## `maxItems` (type: `integer`): Maximum number of deals to return. ## Actor input object example ```json { "mode": "topDeals", "searchQuery": "laptop", "maxItems": 50 } ``` # Actor output Schema ## `deals` (type: `string`): Dataset containing all scraped deals. # 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": "topDeals", "searchQuery": "laptop", "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/bensbargains-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": "topDeals", "searchQuery": "laptop", "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/bensbargains-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": "topDeals", "searchQuery": "laptop", "maxItems": 50 }' | apify call crawlerbros/bensbargains-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/bensbargains-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ben's Bargains Scraper", "description": "Scrape Ben's Bargains (bensbargains.com) - a popular deals aggregator. Fetch the latest top deals via the public RSS feed, optionally filtered by keyword. Extracts deal titles, stores, prices, descriptions, image URLs, posted dates, and direct deal URLs.", "version": "1.0", "x-build-id": "fgZpynHZxbKVQyLNO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~bensbargains-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-bensbargains-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~bensbargains-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-bensbargains-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~bensbargains-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-bensbargains-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "topDeals", "searchDeals" ], "type": "string", "description": "What to fetch.", "default": "topDeals" }, "searchQuery": { "title": "Search query (mode=searchDeals)", "type": "string", "description": "Keyword to filter deals by (e.g. laptop, headphones, gpu)." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of deals 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 } } } } } } } } } } ```