# Smartprix Product Search Scraper (`stealth_mode/smartprix-product-search-scraper`) Actor Scrape real-time product listings from Smartprix.com with 15+ fields including prices, ratings, stock status, and store details. Perfect for price monitoring, market research, and competitive analysis in the electronics retail space. - **URL**: https://apify.com/stealth\_mode/smartprix-product-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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/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 ## Smartprix Product Search Scraper: Extract Electronics Pricing Data --- ### What Is Smartprix.com? Smartprix.com is a leading electronics price comparison platform aggregating thousands of products — smartphones, laptops, tablets, and accessories — across multiple online retailers. It provides real-time pricing, user ratings, specifications, and availability data. Manually tracking price changes and competitor offerings is inefficient; the **Smartprix Product Search Scraper** automates product data collection at scale, enabling data-driven pricing and market intelligence strategies. --- ### Overview The **Smartprix Product Search Scraper** extracts product listings from Smartprix search and category pages, capturing essential pricing, specification, and availability metadata. It is designed for: - **E-commerce businesses** monitoring competitor prices and market positioning - **Price aggregators** building comprehensive product databases - **Market researchers** analyzing electronics pricing trends - **Retailers** tracking product availability and consumer ratings - **Data analysts** feeding pricing data into forecasting models The scraper excels at high-volume collection with configurable limits, flexible URL handling, and graceful failure management — ensuring continuous data pipeline operation even when some listings become unavailable. --- ### Input Format The scraper accepts a JSON configuration object with three core parameters: ```json { "urls": [ "https://www.smartprix.com/mobiles", "https://www.smartprix.com/laptops", "https://www.smartprix.com/search?q=iphone" ], "ignore_url_failures": true, "max_items_per_url": 200 } ```` #### Configuration Fields Explained | Parameter | Type | Purpose | Example | |---|---|---|---| | `urls` | Array of strings | Product search or category page URLs to scrape | `["https://www.smartprix.com/mobiles"]` | | `ignore_url_failures` | Boolean | If `true`, continues scraping if some URLs fail; if `false`, stops the entire run on first failure | `true` or `false` | | `max_items_per_url` | Integer | Maximum number of products to extract per URL (1–500, typically 20–200) | `200` | #### URL Types You Can Use - **Category pages:** `https://www.smartprix.com/mobiles`, `https://www.smartprix.com/laptops` - **Search results:** `https://www.smartprix.com/search?q=samsung` - **Filtered pages:** `https://www.smartprix.com/mobiles?price_min=10000&price_max=50000` - **Brand pages:** `https://www.smartprix.com/mobiles/apple` > **Tip:** Use `ignore_url_failures: true` for bulk runs to prevent a single broken URL from halting the entire job. *** ### Output Format **Sample output** ```json { "type": "Product", "id": "pd11xf05zc2", "name": "Realme P4R 5G", "price_drop": 0, "rating": 83, "stock": "ON_SALE", "category": { "id": 13, "can_compare": true }, "brand_id": 7096, "price": 18999, "fe_price": "₹18,999", "image_id": "leY1NFLm", "url": "/mobiles/realme-p4r-5g-ppd11xf05zc2", "specs_score": 57, "features": [ { "text": "Dual Sim, 5G, VoLTE, Wi-Fi" }, { "text": "Dimensity 6300, Octa Core, 2.4 GHz Processor" }, { "text": "4 GB RAM, 128 GB inbuilt" }, { "text": "8000 mAh Battery with 45W Fast Charging" }, { "text": "6.81 inches, 720 x 1570 px, 144 Hz Display with Punch Hole" }, { "text": "50 MP Rear & 8 MP Front Camera" }, { "text": "Android v16" }, { "text": "No FM Radio", "style": "no" } ], "best_store": { "stock": "IN_STOCK", "tracking_link": "https://l.smartprix.com/l?k=12eB0idvQ0iRit-K8dWiyAxAhrhAgTYBOr3Uh73arTnacBH3c4WcUYUruYCncWTr3ac5oXcW6h-hDh86HoraZXXA5agbhmBYihkpkRSpfvZJ-..p-wVhrhhaFhrhrhhacBrWahrhrBi55DgP4yAohrFB5ZKKaYVV9upxw", "store": { "image_square_id": "1jV84HS1", "slug": "flipkart" } }, "from_url": "https://www.smartprix.com/mobiles" } ``` Each product record contains 15 essential fields capturing pricing, availability, specifications, and retail data: #### Product Identity & Metadata | Field | Description | Example | |---|---|---| | `ID` | Unique Smartprix product identifier | `"12345abcd"` | | `Name` | Full product name and variant | `"iPhone 15 Pro Max 256GB"` | | `Type` | Product category/type | `"Smartphone"` | | `Category` | Subcategory classification | `"Flagship"` | | `Brand ID` | Unique identifier for the brand | `"apple_id"` | | `URL` | Direct link to the product on Smartprix | `"https://www.smartprix.com/mobiles/..."` | #### Pricing Intelligence | Field | Description | Example | |---|---|---| | `Price` | Current lowest retail price across all stores | `"129999"` (in local currency) | | `FE Price` | Estimated floor or final market price | `"119999"` | | `Price Drop` | Discount amount or percentage from original | `"10000"` or `"7%"` | | `Best Store` | Retailer offering the lowest price | `"Amazon.in"` or `"Flipkart"` | #### Product Performance & Stock | Field | Description | Example | |---|---|---| | `Rating` | User rating on Smartprix (typically 1–5 or 1–10 scale) | `"4.5"` | | `Stock` | Availability status across retailers | `"In Stock"`, `"Low Stock"`, `"Out of Stock"` | | `Specs Score` | Overall specification rating or performance index | `"8.2"` | #### Features & Media | Field | Description | Example | |---|---|---| | `Features` | Key technical features as array or comma-separated list | `"6.7\" AMOLED, 120Hz, 5G, IP68"` | | `Image ID` | Identifier for the product image asset | `"img_12345xyz"` | *** ### How to Use 1. **Identify target pages** — Navigate to Smartprix.com and open the category or search page you want to monitor (e.g., `/mobiles` for smartphones). 2. **Copy the URL** — Paste the full URL into the `urls` array. Add multiple URLs for broader scrapes. 3. **Set item limits** — Adjust `max_items_per_url` based on needs (e.g., 50 for quick snapshots, 200 for comprehensive datasets). 4. **Enable resilience** — Set `ignore_url_failures: true` to continue if a page temporarily becomes unavailable. 5. **Execute the scraper** — Start the actor and monitor progress in the run log. 6. **Export and analyze** — Download results as JSON, CSV, or Excel; integrate into pricing dashboards or databases. **Best practices:** - Run scrapes during off-peak hours to minimize server load. - Re-scrape weekly or monthly to track price trends over time. - Use filtering parameters (price range, brand) in URLs to reduce noise. - Store historical snapshots to calculate price elasticity. *** ### Use Cases & Business Value - **Dynamic pricing strategies:** Adjust your prices based on competitor rates in real-time - **Price tracking:** Monitor product discounts, flash sales, and seasonal price swings - **Market intelligence:** Identify emerging products and discontinuing items - **Consumer insights:** Analyze rating trends and feature demand - **Inventory optimization:** Prioritize stock based on price and availability data The Smartprix Product Search Scraper transforms raw web data into structured, actionable intelligence — critical for staying competitive in fast-moving electronics retail. *** ### Conclusion The **Smartprix Product Search Scraper** delivers reliable, large-scale product pricing data from one of India's most comprehensive electronics platforms. With flexible URL handling, detailed pricing fields, and robust error management, it enables real-time market monitoring and data-driven decision-making. Start scraping today and unlock competitive advantages through data intelligence. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.smartprix.com/mobiles" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://www.smartprix.com/mobiles" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/smartprix-product-search-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 = { "urls": ["https://www.smartprix.com/mobiles"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/smartprix-product-search-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 '{ "urls": [ "https://www.smartprix.com/mobiles" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/smartprix-product-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/smartprix-product-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Smartprix Product Search Scraper", "description": "Scrape real-time product listings from Smartprix.com with 15+ fields including prices, ratings, stock status, and store details. Perfect for price monitoring, market research, and competitive analysis in the electronics retail space.", "version": "0.0", "x-build-id": "H3z3YrTWfdcpphmCW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~smartprix-product-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-smartprix-product-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~smartprix-product-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-smartprix-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~smartprix-product-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-smartprix-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs of the product search list urls to scrape", "type": "array", "description": "Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```