# Flipkart Reviews Scraper (`getdataforme/flipkart-reviews-scraper`) Actor Extract detailed product reviews from Flipkart with this scraper. Get ratings, review text, product metadata, and more in structured JSON format—perfect for analysis, brand monitoring, or market research. Just provide product review URLs and get rich customer insights in return. - **URL**: https://apify.com/getdataforme/flipkart-reviews-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Integrations - **Stats:** 28 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 1.00 out of 5 stars ## Pricing from $9.00 / 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. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 *** ### Flipkart Reviews Scraper The **Flipkart Reviews Scraper** is an Apify Actor designed to extract detailed customer review data from product review pages. It efficiently collects structured insights including ratings, review text, sentiment fields, product metadata, and more for in-depth analysis or reporting. *** ### 📥 Input Parameters | Field | Type | Description | | ------ | ---------------- | -------------------------------------------------------------------------------------------------------------- | | `urls` | Array of Strings | List of Flipkart product review page URLs to scrape. Each URL must lead directly to a product reviews section. | **Example Input:** ```json { "urls": [ "https://www.flipkart.com/adidas-glideease-m-running-shoes-men/product-reviews/itmc8340026ad1b5?pid=SHOGFFYSBN3YPDKE&lid=LSTSHOGFFYSBN3YPDKET1OC8D&aid=overall&certifiedBuyer=false&sortOrder=MOST_RECENT" ] } ``` *** ### 📤 Example Output ```json { "Product_Id": "SHOGFFYSBN3YPDKE", "Review_Id": "2d84d3dc-395a-413e-9cca-d51c9067f445", "Rating": 4, "Title": "Very Good", "Body": "Nice one", "Sentiment": null, "Section": "", "Higher_Topic": null, "Granular_Topic": null, "Source": "Flipkart", "Full_Review": "Very Good: Nice one", "Review_Type": "Product Review", "Title_Trans": "Very Good", "Body_Trans": "Nice one", "Full_Review_Trans": "Very Good: Nice one", "Product_Name_Trans": "ADIDAS GlideEase M Running Shoes For Men - Buy ADIDAS GlideEase M Running Shoes For Men Online at Best Price - Shop Online for Footwears in India | Flipkart.com", "Product_Segment": "Footwear", "Gender": "Unisex", "Product_Segment2": "Men's Footwear", "Year_Quarter": "2025_Q2", "Sub_Brand": "Wowper", "Format": "Pants", "Country": "India", "Date": "2025-05-12", "Product_Name": "", "Brand": "Wowper", "URL": "https://www.flipkart.com/adidas-glideease-m-running-shoes-men/product-reviews/itmc8340026ad1b5", "Crawled_Date": "2025-05-16" } ``` *** ### ⭐ Features - Extracts user ratings, review titles, and detailed review text. - Includes metadata such as product ID, brand, category, gender, and more. - Captures review dates and translated content for multilingual support. - Outputs structured JSON for easy integration with other tools. *** ### 💡 Use Cases - **Brand Monitoring**: Understand how customers perceive your products. - **Competitor Research**: Analyze reviews of other brands and market players. - **Customer Insights**: Use real feedback to inform product improvements. - **Sentiment Analysis**: Prepare data for NLP-based emotional classification. - **Market Trends**: Identify recurring praise or complaints across segments. *** ### 🛠 Support For bug reports or custom needs, contact: 📧 **** 📨 Or use our contact form: # Actor input Schema ## `urls` (type: `array`): A list of URLs of the web pages you want to scrape data from. ## `itemLimit` (type: `integer`): Specifies the maximum number of items to process. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "urls": [ "https://www.flipkart.com/noise-colorfit-icon-2-1-8-display-bluetooth-calling-ai-voice-assistant-smartwatch/product-reviews/itmd4cd819eadb9f?pid=SMWGEH7VGYMGCP3V&lid=LSTSMWGEH7VGYMGCP3VOS17SZ&marketplace=FLIPKART" ], "itemLimit": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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.flipkart.com/noise-colorfit-icon-2-1-8-display-bluetooth-calling-ai-voice-assistant-smartwatch/product-reviews/itmd4cd819eadb9f?pid=SMWGEH7VGYMGCP3V&lid=LSTSMWGEH7VGYMGCP3VOS17SZ&marketplace=FLIPKART" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/flipkart-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.flipkart.com/noise-colorfit-icon-2-1-8-display-bluetooth-calling-ai-voice-assistant-smartwatch/product-reviews/itmd4cd819eadb9f?pid=SMWGEH7VGYMGCP3V&lid=LSTSMWGEH7VGYMGCP3VOS17SZ&marketplace=FLIPKART"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/flipkart-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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.flipkart.com/noise-colorfit-icon-2-1-8-display-bluetooth-calling-ai-voice-assistant-smartwatch/product-reviews/itmd4cd819eadb9f?pid=SMWGEH7VGYMGCP3V&lid=LSTSMWGEH7VGYMGCP3VOS17SZ&marketplace=FLIPKART" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/flipkart-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/flipkart-reviews-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/reBjrNFY0EgmWXGQY/builds/iQnMqZUpslTjzhf9q/openapi.json