# Shopsy Reviews Scraper (`stealth_mode/shopsy-reviews-scraper`) Actor Automate product review collection from Shopsy.in with this powerful scraper. Extract author details, ratings, review text, certification status, and 12+ fields per review — perfect for sentiment analysis, market research, and competitor tracking. - **URL**: https://apify.com/stealth\_mode/shopsy-reviews-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.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 ## Shopsy Reviews Scraper: Extract Product Reviews & Ratings Effortlessly --- ### What Is Shopsy.in? Shopsy.in is an Indian e-commerce platform featuring a wide range of products including cosmetics, fashion, electronics, and more. Each product listing includes a dedicated reviews section where customers share detailed feedback, ratings, and experiences. Manually collecting and analyzing hundreds of reviews is labor-intensive — the **Shopsy Reviews Scraper** automates this process, delivering structured review data ready for analysis. --- ### Overview The **Shopsy Reviews Scraper** extracts comprehensive product review data from Shopsy.in pages, transforming unstructured customer feedback into clean, structured datasets. It is designed for: - **E-commerce analysts** monitoring product sentiment and ratings trends - **Market researchers** conducting competitive product analysis - **Quality assurance teams** tracking customer feedback patterns - **Data scientists** building sentiment analysis and NLP models - **Brands** tracking competitor product perception The scraper handles multiple reviews per URL, supports error resilience via `ignore_url_failures`, and configurable collection limits to match your research scope and budget. --- ### Input Format The scraper accepts a JSON configuration object with three main parameters: ```json { "urls": [ "https://www.shopsy.in/onfroi-lipstick-combo-pack-8-liquid-matte-long-lasting-smudge-proof/product-reviews/itmab6007e15a0be?pid=XLPHE92VVRNRSJFZ&lid=LSTXLPHE92VVRNRSJFZLVB69H&mid=FLIPKART&cat=ShopsyMakeupFragrances&vert=ShopsyLipstick&page=3" ], "ignore_url_failures": true, "max_items_per_url": 200 } ```` | Parameter | Description | Example | |---|---|---| | `urls` | Array of Shopsy product review page URLs to scrape. Include full URLs with query parameters. | Review page URLs with `product-reviews` path | | `max_items_per_url` | Maximum number of reviews to extract per URL (1–200). Controls volume and execution time. | `200` for comprehensive collection; `20` for quick samples | | `ignore_url_failures` | Boolean flag. If `true`, the scraper continues if individual URLs fail; if `false`, it stops on first failure. | `true` for reliability in bulk runs | > **Tip:** Use complete review page URLs including pagination parameters. Each URL typically contains 15–30 reviews per page; adjust `max_items_per_url` accordingly. *** ### Output Format **Example output record:** ```json { "author": "Ruchi Verma", "certified_buyer": true, "created": "6 months ago", "downvote": { "type": "VoteValue", "count": 21, "is_selected": false }, "review_property_map": { "v_e_r_i_f_i_e_d__p_u_r_c_h_a_s_e": true }, "review_type_display_text": null, "text": "Very nice product 😀 \nI am very happy with this product 🙂", "title": "Excellent", "total_count": 64, "upvote": { "type": "VoteValue", "count": 43, "is_selected": false }, "url": "/reviews/XLPHE92VVRNRSJFZ:2?reviewId=ce2be012-0934-4237-9178-cba7ecf1fe11", "user_badge": null, "from_url": "https://www.shopsy.in/onfroi-lipstick-combo-pack-8-liquid-matte-long-lasting-smudge-proof/product-reviews/itmab6007e15a0be?pid=XLPHE92VVRNRSJFZ&lid=LSTXLPHE92VVRNRSJFZLVB69H&mid=FLIPKART&cat=ShopsyMakeupFragrances&vert=ShopsyLipstick" } ``` Each scraped review returns a structured record with 12+ fields: #### Review Content & Author Information | Field | Meaning | |---|---| | `Author` | Username or display name of the reviewer | | `Text` | Full review text written by the customer | | `Title` | Review headline or summary title | | `Certified Buyer` | Boolean indicating whether the reviewer purchased the product (verified badge) | | `User Badge` | Special badges or labels assigned to the reviewer (e.g., "Trusted Reviewer," "Top Contributor") | #### Rating & Engagement | Field | Meaning | |---|---| | `Upvote` | Number of "helpful" votes the review received | | `Downvote` | Number of "not helpful" votes the review received | | `Total Count` | Total engagement count (sum of upvotes and downvotes) | | `Created` | Timestamp when the review was posted | #### Review Metadata | Field | Meaning | |---|---| | `URL` | Direct link to the individual review on Shopsy | | `Review Type Display Text` | Classification of the review (e.g., "Positive," "Negative," "Neutral") or star rating displayed | | `Review Property Map` | Additional metadata object containing structured review properties (rating scale, category flags, etc.) | ----------------------------------------------------------------------------------------------------------------------------------- ### How to Use 1. **Locate review URLs** — Navigate to a Shopsy product page and scroll to the "Customer Reviews" section. Click on a review page or filter; copy the full URL from your browser. 2. **Prepare configuration** — Paste URLs into the `urls` array. Set `max_items_per_url` based on how many reviews you need (20 for quick tests, 100–200 for comprehensive analysis). 3. **Handle errors** — Enable `ignore_url_failures: true` for bulk runs. This ensures the scraper continues if one URL fails due to network or structure changes. 4. **Run the scraper** — Submit the configuration and monitor the execution log for status updates. 5. **Process results** — Export as JSON, CSV, or Excel. Clean and standardize the `Created` dates and `Review Property Map` for downstream analysis. **Common best practices:** - Test with 1–2 URLs first to verify output structure. - Use `max_items_per_url: 50–100` to balance completeness and speed. - Reviews from "Certified Buyer" accounts typically carry more weight in sentiment analysis. *** ### Use Cases & Business Value - **Sentiment analysis:** Train models to classify positive/negative reviews at scale - **Competitor benchmarking:** Compare product ratings and customer feedback across competitors - **Quality insights:** Identify common product issues or praised features from customer feedback - **Marketing research:** Understand customer pain points and messaging opportunities - **Reputation monitoring:** Track brand perception changes over time By automating review collection, you save days of manual work and unlock insights that guide product development, marketing strategy, and customer service improvements. *** ### Conclusion The **Shopsy Reviews Scraper** is an essential tool for anyone serious about e-commerce intelligence. Whether you're conducting market research, analyzing sentiment, or tracking competitor products, this scraper delivers structured review data in minutes. Leverage customer feedback to make data-driven business decisions and stay ahead in the competitive Indian e-commerce landscape. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the product reviews 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.shopsy.in/onfroi-lipstick-combo-pack-8-liquid-matte-long-lasting-smudge-proof/product-reviews/itmab6007e15a0be?pid=XLPHE92VVRNRSJFZ&lid=LSTXLPHE92VVRNRSJFZLVB69H&mid=FLIPKART&cat=ShopsyMakeupFragrances&vert=ShopsyLipstick&page=3" ], "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.shopsy.in/onfroi-lipstick-combo-pack-8-liquid-matte-long-lasting-smudge-proof/product-reviews/itmab6007e15a0be?pid=XLPHE92VVRNRSJFZ&lid=LSTXLPHE92VVRNRSJFZLVB69H&mid=FLIPKART&cat=ShopsyMakeupFragrances&vert=ShopsyLipstick&page=3" ], "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/shopsy-reviews-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.shopsy.in/onfroi-lipstick-combo-pack-8-liquid-matte-long-lasting-smudge-proof/product-reviews/itmab6007e15a0be?pid=XLPHE92VVRNRSJFZ&lid=LSTXLPHE92VVRNRSJFZLVB69H&mid=FLIPKART&cat=ShopsyMakeupFragrances&vert=ShopsyLipstick&page=3"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/shopsy-reviews-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.shopsy.in/onfroi-lipstick-combo-pack-8-liquid-matte-long-lasting-smudge-proof/product-reviews/itmab6007e15a0be?pid=XLPHE92VVRNRSJFZ&lid=LSTXLPHE92VVRNRSJFZLVB69H&mid=FLIPKART&cat=ShopsyMakeupFragrances&vert=ShopsyLipstick&page=3" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/shopsy-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/shopsy-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopsy Reviews Scraper", "description": "Automate product review collection from Shopsy.in with this powerful scraper. Extract author details, ratings, review text, certification status, and 12+ fields per review — perfect for sentiment analysis, market research, and competitor tracking.", "version": "0.0", "x-build-id": "TWSx6gJqF5WbIlSFm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~shopsy-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-shopsy-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~shopsy-reviews-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-shopsy-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~shopsy-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-shopsy-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 reviews urls to scrape", "type": "array", "description": "Add the URLs of the product reviews 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 } } } } } } } } } } ```