# Flipkart Price Tracker (`truefetch/flipkart-price-tracker`) Actor Track public Flipkart India product search results by keyword. Export marketplace records with title, brand, INR price, discount text, rating, review count, availability signals, image, seller when exposed, product URL, source URL, query, and rank for India ecommerce analysis. - **URL**: https://apify.com/truefetch/flipkart-price-tracker.md - **Developed by:** [TrueFetch](https://apify.com/truefetch) (community) - **Categories:** E-commerce, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $7.74 / 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 > **Affiliate disclosure:** Apify links on this page may include referral parameters. If you sign up through one of these links, TrueFetch may earn a commission from Apify at no extra cost to you. Pricing, features, and Actor access are unaffected. [![Flipkart Price Tracker](https://img.shields.io/badge/Flipkart%20Price%20Tracker-2874F0?style=for-the-badge)](https://apify.com/truefetch/flipkart-price-tracker?fpr=aiagentapi) [![India](https://img.shields.io/badge/India-1F8A70?style=for-the-badge)](https://apify.com/truefetch/flipkart-price-tracker?fpr=aiagentapi) [![Result Event](https://img.shields.io/badge/result%20event-%240.0086%2Fresult-2E8B57?style=for-the-badge)](https://apify.com/truefetch/flipkart-price-tracker?fpr=aiagentapi) [![Flipkart Prices](https://img.shields.io/badge/Flipkart%20Prices-555555?style=for-the-badge)](https://apify.com/truefetch/flipkart-price-tracker?fpr=aiagentapi) [![Telegram Support](https://img.shields.io/badge/Telegram-Support-26A5E4?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/AiAgentApi) [![Telegram Group](https://img.shields.io/badge/Telegram-Group-26A5E4?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/TrueFetch) ## Flipkart Price Tracker — Product Price, Rating & Search Result API **Track public Flipkart India product search results by keyword. Export structured marketplace records with title, brand, INR price, discount text, rating, review count, availability signals, image, seller when exposed, product URL, source URL, query, and rank.** Returns clean JSON / CSV / Excel for India ecommerce price monitoring, offer tracking, category research, and AI shopping workflows. > **TL;DR (40-word answer):** Flipkart Price Tracker is a no-login Apify Actor for public Flipkart India search-result data. It returns normalized records with INR price, discount text, rating, reviews, availability, source URL, query, and rank. Pricing uses the `result` event from $0.0086 per result. Last updated 2026-06-29. > **What it is NOT:** Flipkart Price Tracker is _not a checkout bot, seller API, or private Flipkart account tool. It reads public Flipkart search results and keeps platform-provided ranking and product signals._ > **Flipkart Price Tracker is an Apify Actor that accepts `keyword`, `country`, and `max_results`, then exports a source-linked product dataset with standardized fields for analysis.** It keeps the user's query visible in `query`, preserves public source context in `source_url`, and does not hide platform-specific ranking behavior behind artificial sorting. Maintained by TrueFetch on the Apify Store. --- ### 🛒 Why choose Flipkart Price Tracker **Flipkart Price Tracker is best for** India ecommerce sellers, marketplace researchers, deal aggregators, and AI agents that need current Flipkart search data with price, discount, and ranking context intact. - India-focused input surface: `country` is India and results come from Flipkart public search. - Flipkart offer context stays visible through INR price, discount text, rating, review count, seller, availability text, and original result rank when those signals are exposed. - Fields cover title, brand, price, INR currency, discount text, rating, review count, stock text, seller, image, product URL, and source URL when available. - `query`, `rank`, `platform`, `site`, and `country` make each product row traceable back to the user input and Flipkart result page. - Output uses the same normalized product schema as the rest of the TrueFetch shopping actors. - Pay-per-result pricing uses the `result` event, so billing maps to exported records. --- ### 🚀 Quick Start — run in 3 steps #### Run in Apify Console 1. **Open the Actor** — go to [Flipkart Price Tracker on Apify](https://apify.com/truefetch/flipkart-price-tracker?fpr=aiagentapi) and click **Try for free**. 2. **Configure inputs** — enter `keyword`, choose `country`, and set `max_results`. 3. **Click Start** — the Actor streams product records to the default dataset. Export as JSON, JSONL, CSV, Excel, XML, RSS, or pull via the dataset API. #### Run via Apify API ```bash curl -X POST "https://api.apify.com/v2/acts/TrueFetch~flipkart-price-tracker/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "keyword": "smartphone", "country": "India", "max_results": 100 }' ```` #### Run via MCP (for AI agents) Flipkart Price Tracker is callable from Claude, ChatGPT, Cursor, and any MCP-compatible client through the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi). Reference the Actor as `TrueFetch/flipkart-price-tracker` and pass the same JSON input as above. *** ### ⚙️ Input parameters | Parameter | Type | Required | Description | Example | | --- | --- | :---: | --- | --- | | `keyword` | string | yes | Product search phrase, brand, model, category, or marketplace query to send to Flipkart. | `smartphone` | | `country` | string | yes | Country/storefront to query. Supported values: India. | `India` | | `max_results` | integer | yes | Maximum number of product records to return. The actor stops at this user limit or the platform's available result limit, whichever comes first. | `100` | **Supported `country` values:** India. **Default behavior:** the Actor sends the supplied input through the platform adapter, respects the platform's public search behavior, and stops at `max_results` or the platform's available result boundary. ```json { "keyword": "smartphone", "country": "India", "max_results": 100 } ``` *** ### 📦 Output dataset Each run writes normalized product records to the **default Apify dataset**. The schema contains 58 product-analysis fields so records from different shopping platforms can be compared without renaming columns. Optional fields stay empty when the source platform does not expose them. | Field | Type | Description | | --- | --- | --- | | `title` | string/null | Product or listing title returned by the source platform. | | `brand` | string/null | Product brand when the platform exposes it clearly. | | `price`, `currency`, `price_text` | number/string/null | Numeric price, ISO currency, and original display price text for verification. | | `was_price`, `discount_pct`, `discount_text`, `promo_text` | mixed/null | Promotion and discount signals when present on the source. | | `stock_status`, `stock_text` | string/null | Normalized and original availability text. | | `rating`, `review_count` | number/integer/null | Public rating and review count when available. | | `seller`, `seller_url`, `seller_score` | string/number/null | Seller or store signals when exposed by the platform. | | `main_image`, `image_urls` | string/array/null | Product image URL fields with non-product placeholders filtered out. | | `product_id`, `sku`, `gtin`, `mpn`, `model` | string/null | Product identifiers when the source provides them. | | `category`, `breadcrumbs`, `features`, `specifications` | mixed/null | Product categorization, bullet points, and specs when available. | | `shipping_text`, `shipping_cost`, `delivery_text`, `pickup_text`, `return_text` | mixed/null | Fulfillment, pickup, delivery, and return signals when present. | | `platform`, `site`, `country`, `product_url`, `source_url`, `query`, `rank` | string/integer/null | Source traceability fields used to audit query-to-result correctness. | | `sponsored`, `processor`, `processed_at` | boolean/string/null | Sponsored flag when known, actor URL, and UTC processing timestamp. | #### Sample output ```json { "main_image": "https://rukminim2.flixcart.com/image/example.jpeg", "image_urls": [ "https://rukminim2.flixcart.com/image/example.jpeg" ], "title": "Motorola Edge Smartphone 128 GB", "brand": "Motorola", "category": "Mobiles", "price": 24999, "currency": "INR", "price_text": "₹24,999", "stock_status": "in_stock", "stock_text": "Available", "rating": 4.3, "review_count": 18542, "seller": "RetailNet", "platform": "Flipkart", "site": "flipkart.com", "country": "India", "product_url": "https://www.flipkart.com/example/p/itmexample", "source_url": "https://www.flipkart.com/search?q=smartphone", "query": "smartphone", "rank": 1, "sponsored": false, "processor": "https://apify.com/truefetch/flipkart-price-tracker", "processed_at": "2026-06-29T00:00:00+00:00" } ``` *** ### 💡 Use cases #### For India ecommerce sellers monitoring Flipkart prices - **Problem:** A seller needs recurring Flipkart price, discount, and availability snapshots for competing products in India. - **How Flipkart Price Tracker solves it:** Schedule keyword runs and compare `price`, `price_text`, `discount_text`, `seller`, `rating`, `review_count`, and `stock_text`. - **Outcome:** A structured Flipkart price-monitoring dataset with source URL and rank retained. #### For deal aggregators and cashback sites - **Problem:** A deal feed needs current Flipkart offers with prices, discount text, ratings, images, and product URLs. - **How Flipkart Price Tracker solves it:** Run high-intent shopping keywords and publish rows with `title`, `main_image`, `price_text`, `discount_text`, `rating`, and `product_url`. - **Outcome:** Fresh Flipkart product feeds exportable to CSV or API consumers. #### For market researchers tracking India categories - **Problem:** A research team wants to analyze price bands, rating depth, review density, and brand visibility for an India ecommerce product segment. - **How Flipkart Price Tracker solves it:** Group results by `brand`, `price`, `discount_text`, `rating`, `review_count`, and `rank`. - **Outcome:** A source-linked view of Flipkart category competition. #### For AI agents needing live Flipkart data - **Problem:** An AI assistant needs current Flipkart products for user shopping questions. - **How Flipkart Price Tracker solves it:** Call `TrueFetch/flipkart-price-tracker` through Apify API or MCP and filter returned records by price, rating, and stock. - **Outcome:** Grounded India ecommerce answers with product URLs. *** ### 💰 Pricing, limits, and performance | Fact | Value | | --- | --- | | Pricing model | Pay-per-event | | Dataset billing event | `result` | | FREE result price | **$0.0086 per result** (about **$8.60 per 1,000 results**) | | GOLD / PLATINUM / DIAMOND result price | **$0.00774 per result** | | Result unit | One successful product/listing record pushed to the default dataset | | Required inputs | `keyword`, `country`, `max_results` | | Supported countries | India | | Output schema | 58 normalized product fields | | Login / cookies required | No user login, cookies, or marketplace API key required | | Export formats | JSON, JSONL, CSV, Excel, XML, RSS, dataset API | You are billed for dataset results through the configured `result` charge event. Use `max_results` to control requested volume; the final count can be lower when the source platform returns fewer public matches. *** ### ⚖️ Compared with alternatives | Capability | **Flipkart Price Tracker** | Manual browsing | Custom scraper | | --- | :---: | :---: | :---: | | Structured product records | yes | no | you build it | | Source URL and query retained | yes | manual | depends on implementation | | Normalized price/rating/image fields | yes | no | you maintain mapping | | Respects platform public ranking | yes | manual observation | easy to accidentally override | | Apify dataset exports and API | yes | no | you build storage/export | | Setup time to first run | minutes | minutes per query | days to weeks | **Verdict.** Flipkart Price Tracker is built for India ecommerce analysis where INR price, discount text, review depth, availability, and Flipkart's public search ranking need to stay auditable. *** ### ⚠️ Common mistakes to avoid 1. **Using non-India marketplace assumptions.** Flipkart Price Tracker supports India, uses INR, and should be queried with India ecommerce wording. 2. **Ignoring discount and review context.** Flipkart result cards can emphasize discount text, rating, review count, and seller signals; compare those alongside price. 3. **Treating missing optional fields as parser failures.** Flipkart does not expose every seller, stock, or promo field on every result. Audit optional fields with `source_url`. 4. **Re-sorting without keeping `rank`.** Preserve `rank` if you need to understand Flipkart's original search order. 5. **Expecting checkout or seller-account data.** This Actor returns public product/search data, not cart, order, account, or seller dashboard data. *** ### 🛠️ Troubleshooting | Problem | Likely cause | Fix | | --- | --- | --- | | Empty dataset | The keyword has no public results, the selected country is unsupported for that platform, or the platform returned no matches. | Try a broader keyword, verify `country`, and compare with the generated `source_url` when available. | | Fewer rows than `max_results` | The platform exposed fewer public results than requested or hit its own result boundary. | Treat `max_results` as an upper bound, not a guarantee. | | Price or rating is empty | The source result did not expose that field for the item. | Use `price_text`, `stock_text`, `source_url`, and `product_url` for audit. | | Results look different from another run | Marketplace algorithms, location, availability, ads, and ranking can change. | Compare `query`, `country`, `source_url`, `rank`, and `processed_at`. | *** ### ❓ FAQ #### What data does Flipkart Price Tracker return? Flipkart Price Tracker returns normalized product records with fields such as `title`, `brand`, `price`, `currency`, `price_text`, `rating`, `review_count`, `stock_text`, `seller`, `main_image`, `product_url`, `source_url`, `platform`, `site`, `country`, `query`, `rank`, `processor`, and `processed_at`. Optional fields are populated only when the source platform exposes them. #### How much does Flipkart Price Tracker cost? Pricing is pay-per-event. The dataset billing event is `result`; current tiered pricing starts at $0.0086 per result on FREE and $0.00774 per result on GOLD, PLATINUM, and DIAMOND. Check the Apify pricing panel for the final account-specific charge. #### Which countries does Flipkart Price Tracker support? Supported `country` values are defined in the actor input schema. Current support: India. #### Does Flipkart Price Tracker require a login or API key? No. Flipkart Price Tracker is designed for public product/search data and does not require a shopper login, cookies, or a marketplace API key from the user. #### Does Flipkart Price Tracker preserve the user's query and platform ranking? Yes. The output keeps `query`, `source_url`, `platform`, `site`, `country`, and `rank` so users can compare the dataset against the original search intent and the platform's own ranking algorithm. #### Can I export Flipkart results to CSV, Excel, or Google Sheets? Yes. Apify datasets can be exported as JSON, JSONL, CSV, Excel, XML, RSS, or consumed through the dataset API. Google Sheets workflows can use Apify integrations, Make, Zapier, n8n, or a direct API pull. #### Can I schedule Flipkart Price Tracker to monitor prices automatically? Yes. Use Apify Schedules for recurring keyword runs and Webhooks to push completed datasets to your pricing system, BI pipeline, or automation workflow. #### What is the maximum number of products per run? Use `max_results` to control the requested result count. The actor returns up to that number unless the source platform has fewer public results for the query or reaches its own result boundary first. #### How does Flipkart Price Tracker handle temporary result failures? The actor follows the platform's public response behavior and keeps returned data source-linked. Temporary request failures, empty searches, or platform-side ranking differences should be audited with `source_url`, `query`, `rank`, and `processed_at`. *** ### 🔌 Integrations Flipkart Price Tracker plugs into the Apify ecosystem: - **Schedules** — run recurring price and search monitoring jobs ([docs](https://docs.apify.com/platform/schedules?fpr=aiagentapi)). - **Webhooks** — POST completed runs to your pricing database, BI stack, or workflow tool on `ACTOR.RUN.SUCCEEDED` ([docs](https://docs.apify.com/platform/integrations/webhooks?fpr=aiagentapi)). - **Apify API** — use `run-sync-get-dataset-items` for blocking calls or `runs` for async jobs ([docs](https://docs.apify.com/api/v2?fpr=aiagentapi)). - **MCP Server** — call the Actor from Claude, ChatGPT, Cursor, and other agents ([docs](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi)). - **No-code tools** — connect with Make, Zapier, n8n, Pipedream, Google Sheets, Airtable, and other dataset consumers. *** ### 🧱 Sister Actors from TrueFetch #### Jobs - [Best Job Listing](https://apify.com/truefetch/best-job-listing?fpr=aiagentapi) - [Glassdoor Job Listing](https://apify.com/truefetch/glassdoor-job-listing?fpr=aiagentapi) - [Indeed Job Listing](https://apify.com/truefetch/indeed-job-listing?fpr=aiagentapi) - [LinkedIn Job Listing](https://apify.com/truefetch/linkedin-job-listing?fpr=aiagentapi) #### Shopping & Deals - [Product Price Tracker](https://apify.com/truefetch/product-price-tracker?fpr=aiagentapi) - [Amazon Price Tracker](https://apify.com/truefetch/amazon-price-tracker?fpr=aiagentapi) - [Argos Price Tracker](https://apify.com/truefetch/argos-price-tracker?fpr=aiagentapi) - [eBay Price Tracker](https://apify.com/truefetch/ebay-price-tracker?fpr=aiagentapi) - [Flipkart Price Tracker](https://apify.com/truefetch/flipkart-price-tracker?fpr=aiagentapi) - [Myntra Price Tracker](https://apify.com/truefetch/myntra-price-tracker?fpr=aiagentapi) - [Target Price Tracker](https://apify.com/truefetch/target-price-tracker?fpr=aiagentapi) - [Walmart Price Tracker](https://apify.com/truefetch/walmart-price-tracker?fpr=aiagentapi) #### Vehicles - [AutoTrader Car Listing](https://apify.com/truefetch/autotrader-car-listing?fpr=aiagentapi) - [Cars.com Car Listing](https://apify.com/truefetch/carscom-car-listing?fpr=aiagentapi) #### Real Estate - [US Property Listing](https://apify.com/truefetch/us-property-listing?fpr=aiagentapi) - [Zillow Property Listing](https://apify.com/truefetch/zillow-property-listing?fpr=aiagentapi) #### Local Business & Food - [BBB Business Profile](https://apify.com/truefetch/bbb-business-profile?fpr=aiagentapi) - [Google Maps Business Listing](https://apify.com/truefetch/google-maps-business-listing?fpr=aiagentapi) - [Zomato Restaurant Listing](https://apify.com/truefetch/zomato-restaurant-listing?fpr=aiagentapi) #### Classifieds - [Kleinanzeigen Listing](https://apify.com/truefetch/kleinanzeigen-listing?fpr=aiagentapi) - [OLX Listing](https://apify.com/truefetch/olx-listing?fpr=aiagentapi) #### Social Media - [Instagram Profile](https://apify.com/TrueFetch/instagram-profile?fpr=aiagentapi) - [Reddit Post Search](https://apify.com/TrueFetch/reddit-post-search?fpr=aiagentapi) - [Telegram Channel Message](https://apify.com/TrueFetch/telegram-channel-message?fpr=aiagentapi) #### Videos & Text - [TikTok Video](https://apify.com/truefetch/tiktok-video?fpr=aiagentapi) - [YouTube Video](https://apify.com/truefetch/youtube-video?fpr=aiagentapi) #### Content & Articles - [Medium Article](https://apify.com/truefetch/medium-article?fpr=aiagentapi) - [Substack Article](https://apify.com/truefetch/substack-article?fpr=aiagentapi) *** ### 📞 Support, changelog, last updated #### Support - Telegram support: [@AiAgentApi](https://t.me/AiAgentApi) - Telegram community: [TrueFetch](https://t.me/TrueFetch) - Apify Actor page: [Flipkart Price Tracker](https://apify.com/truefetch/flipkart-price-tracker?fpr=aiagentapi) #### Changelog - 2026-06-29: Replaced stale template copy with Flipkart Price Tracker SEO/GEO copy, current actor slug, current input schema, and normalized product dataset fields. *** ```json { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Flipkart Price Tracker", "applicationCategory": "BusinessApplication", "operatingSystem": "Cloud", "url": "https://apify.com/truefetch/flipkart-price-tracker", "description": "Track public Flipkart India product search results. Export records with INR price, discount text, rating, reviews, availability, source URL, query, and rank.", "offers": { "@type": "Offer", "price": "0.0086", "priceCurrency": "USD", "description": "Pay-per-result pricing for the result event" }, "provider": { "@type": "Organization", "name": "TrueFetch", "url": "https://apify.com/truefetch" } } ``` *Last updated: 2026-06-29. Schema: Product search and price tracking Actor. Maintained by TrueFetch.* # Actor input Schema ## `keyword` (type: `string`): Product name, brand, model, or search phrase to track on Flipkart ## `country` (type: `string`): Flipkart country/site setting. This actor currently supports India. ## `max_results` (type: `integer`): Maximum number of Flipkart product records to return ## Actor input object example ```json { "keyword": "Nike sneakers", "country": "India", "max_results": 10 } ``` # Actor output Schema ## `results` (type: `string`): Product records returned by this actor with normalized fields and source URLs. # 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 = { "keyword": "Nike sneakers", "country": "India", "max_results": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("truefetch/flipkart-price-tracker").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 = { "keyword": "Nike sneakers", "country": "India", "max_results": 10, } # Run the Actor and wait for it to finish run = client.actor("truefetch/flipkart-price-tracker").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 '{ "keyword": "Nike sneakers", "country": "India", "max_results": 10 }' | apify call truefetch/flipkart-price-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=truefetch/flipkart-price-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flipkart Price Tracker", "description": "Track public Flipkart India product search results by keyword. Export marketplace records with title, brand, INR price, discount text, rating, review count, availability signals, image, seller when exposed, product URL, source URL, query, and rank for India ecommerce analysis.", "version": "1.0", "x-build-id": "UHjNfXAOngLM7GM2f" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/truefetch~flipkart-price-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-truefetch-flipkart-price-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/truefetch~flipkart-price-tracker/runs": { "post": { "operationId": "runs-sync-truefetch-flipkart-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/truefetch~flipkart-price-tracker/run-sync": { "post": { "operationId": "run-sync-truefetch-flipkart-price-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword", "country", "max_results" ], "properties": { "keyword": { "title": "Keyword", "type": "string", "description": "Product name, brand, model, or search phrase to track on Flipkart" }, "country": { "title": "Country", "enum": [ "India" ], "type": "string", "description": "Flipkart country/site setting. This actor currently supports India." }, "max_results": { "title": "Max Results", "minimum": 10, "maximum": 10000, "type": "integer", "description": "Maximum number of Flipkart product records to return" } } }, "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 } } } } } } } } } } ```