Flipkart Search Scraper & MCP Connector

Scrape any Flipkart search — exactly like typing in the search bar — and get clean, structured product data: title, current price, MRP, discount %, rating, ratings & reviews count, F-Assured badge, image, and product URL. No login, no cookies, no paid proxies required.

Built for price-monitoring teams, e-commerce analysts, and sellers who need an accurate product list for a keyword in seconds — not an afternoon of copy-pasting from Flipkart.

Type a search term → optionally pick a category → get a structured product feed → deliver it straight into Notion, Slack, Jira, or your own tools.

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⭐ Why This Actor?

• ✅ Just enter a search query — no LinkedIn-style logins, no session tokens, no manual browsing
• ✅ Search bar parity — whatever you'd type into Flipkart's search box works here (wireless earbuds, nike running shoes, samsung 5g phone)
• ✅ Optional category filter — narrow to Mobiles, Laptops, Electronics, Fashion, Home, Beauty, Books & more, or search everything
• ✅ Sort like the site — relevance, popularity, price low→high / high→low, or newest first
• ✅ Detailed output — price, MRP, computed discount %, star rating, ratings & reviews counts, F-Assured flag, image, and canonical product URL
• ✅ JavaScript-ready & anti-bot resilient — drives a real headless Chromium browser (Playwright), so it reads Flipkart's dynamically-rendered results reliably
• ✅ Auto-pagination — set how many products you want and it walks the result pages for you
• ✅ Deliver anywhere via MCP connectors — push products straight into Notion, Slack, Jira, GitHub, Linear, Airtable, and more
• ✅ Export-ready — JSON, CSV, Excel, or direct API integration for your BI tool, sheet, or CRM

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📝 Use Cases & ROI

Use Case	Time Saved	What You Get
Price & discount monitoring	2–5 hrs/week	A repeatable price/MRP/discount feed for any keyword or category
Competitor benchmarking	3–6 hrs/analysis	How rival products rank, cost, and rate for a search term
Catalog & assortment building	4–8 hrs/batch	Hundreds of products for a keyword, ready to import
Deal & offer tracking	2–4 hrs/week	Top discounts and F-Assured listings, sorted and filtered
Market & demand research	2–5 hrs/study	Ratings volume & review counts as a proxy for product demand

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🚀 How to Use

1. Open the Actor on Apify (or run it locally with the Apify CLI)
2. Enter the Search query you want — the text you'd type into Flipkart's search bar (e.g. wireless earbuds)
3. (Optional) Pick a Category to narrow results, or leave it as Any
4. Set Maximum products — how many to collect (the Actor paginates automatically)
5. (Optional) Choose a Sort order and adjust Max concurrency
6. (Optional) Pick an MCP connector to deliver the products into Notion, Slack, Jira, etc.
7. Click Run — results are ready in minutes
8. Download as CSV, Excel, or JSON — or let the connector push the products into your tools automatically

🎯 Category filter: well-known categories (Mobiles, Laptops, Home & Furniture, Books) use Flipkart's internal store IDs for precise scoping; the rest refine the query by keyword. Leave it on Any for the widest, most robust search.

🌐 No proxy needed: the headless browser reads public search-results pages directly. On the Apify platform you can optionally enable Apify Proxy in the run options for extra resilience — it is not required.

🐢 Getting blocked or empty results? Lower Max concurrency to 1, or set Run browser headless to false locally to watch what Flipkart returns.

💡 First time with a connector? Run once with a connector selected — the run log prints the connector's available tool names, so you know what to put in Connector tool name.

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🧩 Input Configuration

Field	Type	Required	Description
searchQuery	String	✔️ Yes	The text you'd type into the Flipkart search bar (e.g. wireless earbuds).
category	Enum	Optional	Narrow the search to a top-level category, or Any to search everything. Default: Any.
maxProducts	Integer	Optional	Maximum number of products to collect (1–2000). The Actor paginates until reached. Default: 50.
sortBy	Enum	Optional	relevance, popularity, price_asc, price_desc, recency_desc. Default: relevance.
maxConcurrency	Integer	Optional	Search-result pages processed in parallel (keep 1–3 to stay gentle on Flipkart). Default: 2.
headless	Boolean	Optional	Run the browser without a visible window. Keep true on the platform. Default: true.
mcpConnector	Connector	Optional	An MCP connector to deliver results into (Notion, Slack, Linear, Airtable, Jira, GitHub…). Leave empty to save to the dataset only. See 🔗 Deliver to Your Tools below.
deliveryMode	Enum	Optional	perProduct (one call per product), summary (one call with the whole list), or none. Default: perProduct.
mcpTool	String	Optional	Name of the tool to call on the connector (e.g. create_page, send_message, create_issue, appendRow).
mcpArguments	Object	Optional	JSON arguments passed to the tool. String values support {placeholders} (see table below).
mcpMessageTemplate	String	Optional	Optional template rendered and exposed as the {message} placeholder inside mcpArguments.

Category options: Any · Mobiles · Laptops · Electronics · TVs & Appliances · Men's Fashion · Women's Fashion · Home & Furniture · Beauty & Grooming · Sports & Fitness · Books · Toys & Baby · Grocery · Automotive

Example — Just search Flipkart

{
    "searchQuery": "wireless earbuds",
    "maxProducts": 50
}

Example — Search within a category, cheapest first

{
    "searchQuery": "gaming laptop",
    "category": "Laptops",
    "sortBy": "price_asc",
    "maxProducts": 100
}

Example — Track the most popular deals in a category

{
    "searchQuery": "running shoes",
    "category": "Men's Fashion",
    "sortBy": "popularity",
    "maxProducts": 200,
    "maxConcurrency": 2
}

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📦 Output Fields

Each product is stored as one dataset item:

Field	Description
productId	Flipkart listing id (from the tile's data-id)
title	Product name
url	Absolute link to the product page
image	Product thumbnail URL
currentPrice	Current selling price (INR)
originalPrice	Struck-through MRP (INR), when shown
discountPercent	Discount vs MRP, computed automatically
currency	Always INR
rating	Average star rating (0–5)
numRatings	Number of ratings
numReviews	Number of reviews
fAssured	Whether the listing shows the Flipkart Assured badge
seller	Seller name if present on the card (best-effort — see note)

Example Output

[
    {
        "productId": "ACCGH8ZZABCDEFGH",
        "title": "boAt Airdopes 141 with 42H Playtime, Bluetooth 5.1",
        "url": "https://www.flipkart.com/boat-airdopes-141/p/itm...",
        "image": "https://rukminim2.flixcart.com/image/300/300/...jpeg",
        "currentPrice": 1299,
        "originalPrice": 4490,
        "discountPercent": 71,
        "currency": "INR",
        "rating": 4.3,
        "numRatings": 458210,
        "numReviews": 32567,
        "fAssured": true,
        "seller": null
    }
]

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

ℹ️ Note on seller: Flipkart shows the seller name on the product detail page, not on search cards, so this field is usually null in search output. Prices, discounts, ratings, reviews, and F-Assured are read directly from the results. Need guaranteed seller names, specs, and offers? See Custom Pipeline below.

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🔗 Deliver to Your Tools (MCP Connectors)

Beyond the dataset, this Actor can push every scraped product straight into your own tools through an MCP connector — Notion, Slack, Linear, Airtable, Jira, GitHub, Google Sheets, or any MCP-compatible server you've authorized on Apify. No glue code, no separate Zap.

How it works

1. In the input, pick a connector under Deliver to (MCP connector) — Apify injects your authorized credentials at runtime; the Actor never sees them.
2. Choose a Delivery mode:
   • perProduct — one tool call per product (e.g. one Notion page or one Slack line per item)
   • summary — a single call containing the whole product list
   • none — save to the dataset only
3. Set the Connector tool name (mcpTool) — the tool to invoke on the connector.
4. Fill in Connector tool arguments (mcpArguments) — a JSON object whose string values support {placeholders}.
5. (Optional) Write a Message template (mcpMessageTemplate), exposed as {message} inside your arguments.

The dataset is always saved regardless of connector settings — delivery problems never discard scraped data.

Available placeholders

perProduct mode — per-product values plus shared search context:

Placeholder	Meaning
{productId}	Flipkart listing id
{title}	Product name
{url}	Product page link
{image}	Thumbnail URL
{currentPrice}	Current selling price
{originalPrice}	Struck-through MRP
{discountPercent}	Discount vs MRP
{currency}	Always INR
{rating}	Star rating (0–5)
{numRatings}	Number of ratings
{numReviews}	Number of reviews
{seller}	Seller name (usually empty on search cards)
{fAssured}	Flipkart Assured flag
{searchQuery}	The search query used
{category}	The category filter used
{count}	Total products scraped
{message}	The rendered Message template

summary mode — {searchQuery}, {category}, {count}, {message}, and {products} (a markdown list of every product).

Example — one Slack message per product

{
    "searchQuery": "wireless earbuds",
    "maxProducts": 20,
    "mcpConnector": "<your-slack-connector>",
    "deliveryMode": "perProduct",
    "mcpTool": "send_message",
    "mcpMessageTemplate": "*{title}* — ₹{currentPrice} ({discountPercent}% off) | ⭐ {rating}\n{url}",
    "mcpArguments": { "channel": "#deals", "text": "{message}" }
}

Example — one summary message with the full list

{
    "searchQuery": "gaming laptop",
    "category": "Laptops",
    "maxProducts": 25,
    "mcpConnector": "<your-slack-connector>",
    "deliveryMode": "summary",
    "mcpTool": "send_message",
    "mcpMessageTemplate": "Top {count} results for *{searchQuery}*:\n\n{products}",
    "mcpArguments": { "channel": "#research", "text": "{message}" }
}

Example — one Notion page per product

{
    "searchQuery": "air fryer",
    "maxProducts": 30,
    "mcpConnector": "<your-notion-connector>",
    "deliveryMode": "perProduct",
    "mcpTool": "create_page",
    "mcpArguments": {
        "parent": { "database_id": "<your-database-id>" },
        "properties": {
            "Name": { "title": [{ "text": { "content": "{title}" } }] },
            "Price": { "number": "{currentPrice}" },
            "Rating": { "number": "{rating}" },
            "URL": { "url": "{url}" }
        }
    }
}

💡 Not sure of the tool name or its argument shape? Run once with a connector selected — the log lists the connector's available tools. Then set mcpTool and shape mcpArguments to match.

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🔌 Integrations & Delivery

Because it runs on Apify, the product feed drops straight into your stack — no glue code:

• Apify API — pull the dataset as JSON/CSV/Excel on demand
• Google Sheets / Airtable — append rows automatically
• Zapier, Make & n8n — trigger downstream workflows on each run
• Webhooks — notify your service the moment a run finishes
• MCP connectors — push products directly into Notion, Slack, Linear, Jira, GitHub & more (see 🔗 Deliver to Your Tools above)
• Scheduling — run daily/weekly to build a price-history time series

Consume it however your BI, pricing, or merchandising tools prefer.

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💰 Cost Estimation — How much does it cost to scrape Flipkart?

The Actor uses a headless browser, so cost scales with the number of search-result pages loaded (~24 products per page). Scraping a few hundred products typically costs a small fraction of an Apify compute unit. To keep runs cheap:

• Set a realistic maxProducts — don't over-fetch
• Keep maxConcurrency at 2–3
• Add a category and/or sortBy so the most relevant results come first

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⚡ Tips & Advanced Options

• Category accuracy: category mappings live in my_actor/main.py (CATEGORY_FILTERS). Well-known categories use Flipkart store IDs (sid); others append a keyword. If Flipkart changes a store ID, edit that dictionary.

• Resilient parsing: Flipkart rotates its CSS class names, so the parser anchors on the stable data-id product tile and uses attribute/structural/regex fallbacks — it keeps working through cosmetic markup changes.

• Run locally:

  pip install -r requirements.txt
  playwright install chromium
  apify run --purge
  

• Deploy to Apify:

  apify login
  apify push
  

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🆘 Support

For issues, custom scraping requests, or feature suggestions:

Email: bhavin.shah@techforceglobal.com

Found a field that stopped populating? Flipkart likely changed its markup — open the Issues tab so it can be updated quickly.

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Need a Custom Pipeline?

Want per-product deep enrichment (seller, full specs, bank offers, delivery & stock), multi-keyword batch runs, or a price-history database with alerts?

📅 Book a Free 15-min Consultation

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Made with ❤️ by Techforce Specialists in High-Performance Web Scrapers and AI Automation.

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Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Flipkart. Flipkart® and Flipkart Assured® are trademarks of their respective owners; all trademarks are property of their respective owners. The Actor collects only publicly available information from Flipkart's public search-results pages and does not log into, or scrape behind the authentication of, any account. Use the data responsibly and in compliance with applicable laws (including GDPR/CCPA where relevant) and Flipkart's Terms of Service.