# Flipkart Scraper - Products, Prices, Specs & Reviews (`scrapesage/flipkart-scraper`) Actor Scrape Flipkart by keyword, category or URL: live selling price, MRP, discount %, rating + star histogram, full specifications, variants, all images, stock status, buyer reviews & seller leads. Filter, monitor price drops & restocks. India e-commerce data. - **URL**: https://apify.com/scrapesage/flipkart-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** E-commerce, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 product scrapeds 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/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 ## Flipkart Scraper — Products, Prices, Specs, Reviews & Seller Leads Extract **complete Flipkart product data** from India's largest online marketplace — including the fields thin scrapers miss: **live selling price, MRP, exact discount %, rating with the full 1–5★ histogram, key specifications & highlights, every variant, all hi-res images, stock status, buyer reviews, and the seller behind the Buy Box**. Search by keyword, browse a category, or paste any Flipkart URL. No login, no cookies, no browser — fast JSON extraction straight from Flipkart's own page data. ### Why this Flipkart scraper? Most Flipkart scrapers return a title, a price, and little else. This actor reads Flipkart's internal page state and ships the **richest dataset in the category** — every search card already carries price, MRP, discount, rating breakdown and images, and product pages add full specs, variants, seller and reviews. | Data | Typical scrapers | This actor | |---|---|---| | Selling price + MRP + discount % | partial | ✅ all three | | Rating + 1–5★ histogram + rating/review counts | ❌ | ✅ | | Key specifications & highlights | ❌ | ✅ opt-in | | Variants / options (colour, storage…) | ❌ | ✅ opt-in | | All product images (hi-res) | 1 image | ✅ full gallery | | Stock / availability status | ❌ | ✅ | | Category, sub-category & vertical | ❌ | ✅ | | Buyer reviews (rating, text, certified buyer, location, photos, variant) | ❌ | ✅ opt-in | | Seller name, rating, years on Flipkart + lead score | ❌ | ✅ opt-in | | Price-drop / restock **monitoring** | ❌ | ✅ | ### Use cases - **Price & discount monitoring** — track selling price, MRP and discount across thousands of SKUs; get alerted on price drops and restocks with **monitor mode** + [Schedules](https://docs.apify.com/platform/schedules). - **Competitor & catalog intelligence** — map an entire category (mobiles, fashion, electronics, appliances) with specs, ratings and stock to benchmark assortment and pricing. - **Dropshipping & reselling** — source winning products with real ratings, review counts and seller data; compare against [AliExpress](https://apify.com/scrapesage/aliexpress-scraper), [Amazon](https://apify.com/scrapesage/amazon-scraper) and [Banggood](https://apify.com/scrapesage/banggood-scraper). - **Review & sentiment analysis** — pull buyer reviews with certified-buyer flags, ratings, locations and the exact variant reviewed. - **Seller lead generation** — turn the sellers behind listings into scored B2B leads (name, rating, years on Flipkart, fulfilment). ### How to use 1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor. 2. Open the **Flipkart Scraper**, enter search terms (or paste Flipkart URLs / product IDs), and click **Start**. 3. Watch results stream into the dataset table. 4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2). ### Input ```json { "searchTerms": ["wireless earbuds", "running shoes"], "sort": "popularity", "maxProducts": 200, "includeProductDetails": true, "includeReviews": true, "maxReviewsPerProduct": 20, "outputSellerLeads": true, "minPrice": 500, "fourStarPlus": true } ```` - **searchTerms** — keywords; each is scraped as its own Flipkart search. - **startUrls** — direct Flipkart URLs: search pages (`/search?q=...`), category/listing pages (`/mobiles/pr?...`), product pages (`/.../p/itm...?pid=...`), or review pages (`/.../product-reviews/itm...?pid=...`). - **productIds** — Flipkart product IDs (the `pid` from a URL, e.g. `MOBGTAGPK8EHGSXG`); each is fetched as a full detail record. - **sort** — `relevance`, `popularity`, `price_asc`, `price_desc`, or `recency_desc`. - **minPrice / maxPrice / fourStarPlus** — filters (₹, rating). - **includeProductDetails** *(default true)* — open each product page for key specifications & highlights, all images, variants, seller and Q\&A count. Turn off for a faster, cheaper search-only run. - **includeReviews** *(default false)* — scrape buyer reviews per product. - **maxReviewsPerProduct** *(default 20)* — review cap per product. - **outputSellerLeads** *(default false)* — also emit one deduplicated, scored lead record per seller. - **monitorMode / monitorKey** — remember products across runs and emit only NEW or price/stock-changed items (see below). - **proxyConfiguration** *(default Apify Residential, country IN)* — Flipkart blocks datacenter IPs; Indian residential proxies are required. ### Output One record per product (`type: "product"`), plus optional review records (`type: "review"`) and seller leads (`type: "seller"`): ```json { "type": "product", "productId": "ACCHG3VX9UFMSHX5", "itemId": "itm15c0f2a0f8fa5", "title": "SOBEYS M10 Bluetooth Headset", "brand": "SOBEYS", "subtitle": "Black, True Wireless", "url": "https://www.flipkart.com/sobeys-m10-bluetooth/p/itm15c0f2a0f8fa5?pid=ACCHG3VX9UFMSHX5", "price": 298, "mrp": 1999, "discountPercent": 85, "currency": "INR", "inStock": true, "rating": 3.5, "ratingCount": 1684, "reviewCount": 142, "ratingHistogram": { "1": 395, "2": 168, "3": 152, "4": 134, "5": 835 }, "category": "PersonalAudio", "vertical": "TrueWireless", "image": "https://rukmini1.flixcart.com/image/832/832/.../...jpeg?q=70", "imagesCount": 5, "highlights": ["6 GB RAM | 128 GB ROM", "108MP Rear Camera", "6.67 inch", "5000 mAh Battery"], "variants": ["Arctic White", "Stealth Black", "128 GB + 6 GB", "256 GB + 8 GB"], "sellerName": "AllonsOrganic", "sellerRating": 4.2, "sellerYearsOnFlipkart": 3, "searchTerm": "wireless earbuds", "scrapedAt": "2026-06-17T12:00:00.000Z" } ``` ### Monitor mode — track price drops & restocks Turn on **monitorMode** and the actor remembers every product it has seen (in a named key-value store, `flipkart-monitor-`) and on later runs emits **only new products or ones whose price or stock changed**, each tagged with a `changeType`: - `new` — first time seen - `price_drop` / `price_rise` — selling price changed - `restocked` / `out_of_stock` — availability changed This works **alongside** the Apify scheduler, not instead of it: pick how often to run with [Schedules](https://docs.apify.com/platform/schedules), and monitor mode keeps each run's output to just the changes — ideal for price-tracking pipelines and restock alerts. ### Automate & schedule Run this actor on autopilot and pull results into your own stack: - **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST. - **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs. - **[Schedules](https://docs.apify.com/platform/schedules)** — run it hourly/daily to watch prices, new arrivals, or a category; perfect with monitor mode. - **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions (CRM import, Slack alert, repricing job) the moment a run finishes. ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' }); const run = await client.actor('scrapesage/flipkart-scraper').call({ searchTerms: ['wireless earbuds'], maxProducts: 200, includeProductDetails: true, monitorMode: true, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} products`); ``` ### Integrate with any app Connect the dataset to 5,000+ apps — no code required: - **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios. - **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push price changes straight into Sheets or Slack. - **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a monitored product drops in price. - **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet. - **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse. - **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases. ### Use with AI assistants (MCP) The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "track the price of these Flipkart earbuds and alert me on a drop" and let it run this scraper. ### More scrapers from scrapesage Build a complete **e-commerce price & product intelligence stack**: - **[Amazon Scraper](https://apify.com/scrapesage/amazon-scraper)** — products, prices, reviews & sellers across 20 marketplaces. - **[AliExpress Scraper](https://apify.com/scrapesage/aliexpress-scraper)** — products, live prices, SKUs & supplier leads. - **[eBay Scraper](https://apify.com/scrapesage/ebay-scraper)** — listings, sold comps & seller leads. - **[Banggood Scraper](https://apify.com/scrapesage/banggood-scraper)** — cross-border dropshipping products, prices & reviews. - **[Made-in-China Scraper](https://apify.com/scrapesage/made-in-china-scraper)** — B2B suppliers & product catalogs. - **[TradeIndia Scraper](https://apify.com/scrapesage/tradeindia-scraper)** — Indian B2B suppliers & leads. - **[Poshmark Scraper](https://apify.com/scrapesage/poshmark-scraper)** — fashion resale listings, sold comps & seller leads. - **[Reverb Scraper](https://apify.com/scrapesage/reverb-scraper)** — musical-instrument marketplace & price guide. - **[Shopify Store Scraper](https://apify.com/scrapesage/shopify-store-scraper)** — products & catalogs from any Shopify store. ### Tips - **Big categories**: split by sub-category or add `minPrice`/`maxPrice` windows to exhaust large result sets — Flipkart paginates search results in pages of ~24. - **Cheaper runs**: turn off `includeProductDetails` for a search-only pass — the search cards already carry price, MRP, discount, rating and images. - **Proxies**: keep the default **Residential, country IN** group — Flipkart blocks datacenter IPs. - **Recurring monitoring**: combine [Schedules](https://docs.apify.com/platform/schedules) with `monitorMode` to capture only price drops, restocks and new arrivals. ### FAQ **How do I scrape Flipkart by category?** Paste the category/listing URL (e.g. `https://www.flipkart.com/mobiles/pr?sid=tyy,4io`) into `startUrls` — the actor paginates it automatically. Or use `searchTerms` for keyword searches. **Does it need the Flipkart API?** No. Flipkart has no public product API — this actor extracts the same (and richer) data from public page data, no key or login needed. **Why are Indian residential proxies required?** Flipkart blocks datacenter IPs at the connection level. The default Apify Residential proxy with country `IN` resolves this; the actor primes each session and retries on a fresh IP if one is rate-limited. **Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive). **A field is null — why?** Some products genuinely don't publish an MRP, brand, or full specs. Fields are `null` only when the data doesn't exist, not because the scraper skipped them. **Is scraping Flipkart legal?** This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws and Flipkart's terms. ### Need help? Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained. # Actor input Schema ## `searchTerms` (type: `array`): Keywords to search on Flipkart, e.g. wireless earbuds, iphone 15, running shoes. Each term is scraped as its own search. ## `startUrls` (type: `array`): Direct Flipkart URLs: search pages (/search?q=...), category/listing pages (/mobiles/pr?..., /clothing-and-accessories/.../pr?...), product pages (/.../p/itm...?pid=...), or review pages (/.../product-reviews/itm...?pid=...). Used in addition to search terms. ## `productIds` (type: `array`): Flipkart product IDs (the pid from a product URL, e.g. MOBGTAGPK8EHGSXG or ACCHG3VX9UFMSHX5). Each is fetched as a full product-detail record. ## `sort` (type: `string`): Result ordering for keyword searches. ## `minPrice` (type: `integer`): Only include products with a selling price at or above this value (Indian Rupees). ## `maxPrice` (type: `integer`): Only include products with a selling price at or below this value (Indian Rupees). ## `fourStarPlus` (type: `boolean`): Only include products rated 4.0 stars or higher. ## `maxProducts` (type: `integer`): Maximum number of products to scrape across all searches & URLs. ## `maxPagesPerSearch` (type: `integer`): How many result pages to paginate per keyword/listing (Flipkart shows ~24 products per page). ## `includeProductDetails` (type: `boolean`): Open each product page to enrich the record with key specifications & highlights, all hi-res images, variants (colour/storage), seller, and Q\&A count. Turn off for a faster, cheaper search-only run (search cards already include price, MRP, discount, rating & star histogram). ## `includeReviews` (type: `boolean`): Scrape buyer reviews for every product (author, rating, title, text, certified-buyer flag, location, helpful votes, photos & the variant reviewed). ## `maxReviewsPerProduct` (type: `integer`): Cap on the number of reviews scraped per product when reviews are enabled. ## `outputSellerLeads` (type: `boolean`): In addition to products, push one deduplicated lead record per seller (type = "seller") with seller name, rating, years on Flipkart, fulfilment, description and a 0–100 lead score. Requires product details. ## `deduplicateProducts` (type: `boolean`): Skip a product if it was already emitted in this run (by product ID). ## `monitorMode` (type: `boolean`): Remember products across runs in a named key-value store and only emit NEW products or ones whose price / stock changed (tagged with a changeType: new, price\_drop, price\_rise, restocked, out\_of\_stock). Ideal with Apify Schedules for price tracking. Works alongside — not instead of — the platform scheduler. ## `monitorKey` (type: `string`): Name for this monitor's memory (use distinct keys for distinct watch lists). Stored as key-value store flipkart-monitor-\. ## `maxConcurrency` (type: `integer`): Maximum parallel requests. Keep modest (3–5) for the best reliability on residential proxies. ## `proxyConfiguration` (type: `object`): Proxies to use. Indian residential proxies are required — Flipkart blocks datacenter IPs. ## Actor input object example ```json { "searchTerms": [ "wireless earbuds" ], "sort": "relevance", "fourStarPlus": false, "maxProducts": 100, "maxPagesPerSearch": 10, "includeProductDetails": true, "includeReviews": false, "maxReviewsPerProduct": 20, "outputSellerLeads": false, "deduplicateProducts": true, "monitorMode": false, "monitorKey": "default", "maxConcurrency": 4, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # Actor output Schema ## `results` (type: `string`): All scraped product, review and seller-lead records as JSON items in the default dataset. # 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 = { "searchTerms": [ "wireless earbuds" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/flipkart-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 = { "searchTerms": ["wireless earbuds"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("scrapesage/flipkart-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 '{ "searchTerms": [ "wireless earbuds" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call scrapesage/flipkart-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/flipkart-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flipkart Scraper - Products, Prices, Specs & Reviews", "description": "Scrape Flipkart by keyword, category or URL: live selling price, MRP, discount %, rating + star histogram, full specifications, variants, all images, stock status, buyer reviews & seller leads. Filter, monitor price drops & restocks. India e-commerce data.", "version": "1.0", "x-build-id": "GFUpR6lXZEymYzPyc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~flipkart-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-flipkart-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~flipkart-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-flipkart-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~flipkart-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-flipkart-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords to search on Flipkart, e.g. wireless earbuds, iphone 15, running shoes. Each term is scraped as its own search.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct Flipkart URLs: search pages (/search?q=...), category/listing pages (/mobiles/pr?..., /clothing-and-accessories/.../pr?...), product pages (/.../p/itm...?pid=...), or review pages (/.../product-reviews/itm...?pid=...). Used in addition to search terms.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "productIds": { "title": "Product IDs (PID)", "type": "array", "description": "Flipkart product IDs (the pid from a product URL, e.g. MOBGTAGPK8EHGSXG or ACCHG3VX9UFMSHX5). Each is fetched as a full product-detail record.", "items": { "type": "string" } }, "sort": { "title": "Sort order", "enum": [ "relevance", "popularity", "price_asc", "price_desc", "recency_desc" ], "type": "string", "description": "Result ordering for keyword searches.", "default": "relevance" }, "minPrice": { "title": "Min price (₹)", "minimum": 0, "type": "integer", "description": "Only include products with a selling price at or above this value (Indian Rupees)." }, "maxPrice": { "title": "Max price (₹)", "minimum": 0, "type": "integer", "description": "Only include products with a selling price at or below this value (Indian Rupees)." }, "fourStarPlus": { "title": "4★ & above only", "type": "boolean", "description": "Only include products rated 4.0 stars or higher.", "default": false }, "maxProducts": { "title": "Max products", "minimum": 1, "type": "integer", "description": "Maximum number of products to scrape across all searches & URLs.", "default": 100 }, "maxPagesPerSearch": { "title": "Max pages per search", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many result pages to paginate per keyword/listing (Flipkart shows ~24 products per page).", "default": 10 }, "includeProductDetails": { "title": "Include full product details", "type": "boolean", "description": "Open each product page to enrich the record with key specifications & highlights, all hi-res images, variants (colour/storage), seller, and Q&A count. Turn off for a faster, cheaper search-only run (search cards already include price, MRP, discount, rating & star histogram).", "default": true }, "includeReviews": { "title": "Include buyer reviews", "type": "boolean", "description": "Scrape buyer reviews for every product (author, rating, title, text, certified-buyer flag, location, helpful votes, photos & the variant reviewed).", "default": false }, "maxReviewsPerProduct": { "title": "Max reviews per product", "minimum": 1, "maximum": 500, "type": "integer", "description": "Cap on the number of reviews scraped per product when reviews are enabled.", "default": 20 }, "outputSellerLeads": { "title": "Emit seller lead records", "type": "boolean", "description": "In addition to products, push one deduplicated lead record per seller (type = \"seller\") with seller name, rating, years on Flipkart, fulfilment, description and a 0–100 lead score. Requires product details.", "default": false }, "deduplicateProducts": { "title": "Deduplicate products", "type": "boolean", "description": "Skip a product if it was already emitted in this run (by product ID).", "default": true }, "monitorMode": { "title": "Monitor mode (only new & changed)", "type": "boolean", "description": "Remember products across runs in a named key-value store and only emit NEW products or ones whose price / stock changed (tagged with a changeType: new, price_drop, price_rise, restocked, out_of_stock). Ideal with Apify Schedules for price tracking. Works alongside — not instead of — the platform scheduler.", "default": false }, "monitorKey": { "title": "Monitor key", "type": "string", "description": "Name for this monitor's memory (use distinct keys for distinct watch lists). Stored as key-value store flipkart-monitor-<key>.", "default": "default" }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum parallel requests. Keep modest (3–5) for the best reliability on residential proxies.", "default": 4 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxies to use. Indian residential proxies are required — Flipkart blocks datacenter IPs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } } }, "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 } } } } } } } } } } ```