# Flipkart Product Scraper (`datascrapers/flipkart-scraper`) Actor

Flipkart product dataset from search queries, categories, or page URLs, including prices, ratings, stock status, optional product details, and customer reviews.

- **URL**: https://apify.com/datascrapers/flipkart-scraper.md
- **Developed by:** [Farhan Ali](https://apify.com/datascrapers) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.70 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Product Scraper** creates a structured dataset of products collected from [Flipkart](https://www.flipkart.com). Each dataset item represents one product and can include identifiers, brand, listing title, price and MRP, discount percent, currency, rating, stock status, key specifications, and optional product-page details plus nested customer reviews. Query the source with Flipkart page URLs (`startUrls`), preset `categories`, or `searchQueries`. Control the result limit with `maxItems`, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

### Dataset at a glance

| Property | Value |
|---|---|
| Source | flipkart.com |
| Record unit | One Flipkart product, with optional nested reviews |
| Input methods | `startUrls`, `categories`, and/or `searchQueries` |
| Main identifiers | `productId` (recommended), `url` |
| Delivery | Apify Dataset and API |
| Export formats | JSON, CSV, Excel, XML, HTML (Apify dataset exports) |
| Update model | Fresh records per Actor run |
| Pricing | Pay-per-event: $0.002 per product (`dataset-item`); +$0.002 per product for details; +$0.002 per review |

### Coverage and available records

The Actor collects products from public Flipkart listing, search, and product pages. The three input methods can be combined in one run. At least one is required:

- **URL-based**: Pass Flipkart category, search, or product page URLs in `startUrls` (for example `https://www.flipkart.com/televisions/pr?sid=ckf,czl` or a `/p/` product URL).
- **Category-based**: Select one or more values from the 15-value `categories` enum. Each value maps to a preset Flipkart browse section (see the input table).
- **Search-based**: Pass free-text terms in `searchQueries` (for example `samsung tv`). No Flipkart URL is required.

Record types and limits:

- **Listing-level records** are always collected when Flipkart returns a product card or a resolvable product URL: identifiers, name, brand, price, MRP, discount, currency, rating aggregates, stock flag, category, key specs, and source metadata.
- **Product detail fields** are conditional: `description`, `highlights`, `features`, `offers`, `imageUrls`, `parameterRatings`, and `ratingBreakdown` appear only when `includeProductDetails` is enabled.
- **Review records** are conditional: a `reviews` array is nested on the product only when `includeReviews` is enabled. `maxReviews` caps reviews per product (`0` requests all available reviews, hard-capped at 10,000).
- **Result cap**: `maxItems` limits products across all seeds (`0` means unlimited, the default). Listing pagination stops at 500 pages per seed.

Known exclusions: login-only Flipkart content is not collected; each run captures page state at run time (no historical snapshots); categories outside the enum require a Flipkart URL in `startUrls`.

### Data dictionary

Field names below match dataset record JSON properties exactly. Fields marked *conditional* appear only when the corresponding input toggle is enabled.

#### Listing fields

| Field | Type | Nullable | Description | Example |
|---|---|---:|---|---|
| `productId` | string | No | Flipkart product identifier (`pid`); best stable deduplication key | `SHTGNEFMQYHFHXYG` |
| `itemId` | string | Yes | Item id from the product path (`itm…`) | `itm8db046dcd06e5` |
| `listingId` | string | Yes | Flipkart listing id when present on the card or URL (`lid`) | — |
| `name` | string | No | Product title | `RED TAPE Men Solid Casual Pink Shirt` |
| `brand` | string | Yes | Brand name | `RED TAPE` |
| `subtitle` | string | Yes | Secondary listing title | `Men Regular Fit Solid Button Down Collar Casual Shirt` |
| `url` | string | No | Product page URL | `https://www.flipkart.com/.../p/itm8db046dcd06e5?pid=SHTGNEFMQYHFHXYG` |
| `imageUrl` | string | Yes | Primary listing image URL | — |
| `price` | number | Yes | Current selling price | `776.0` |
| `mrp` | number | Yes | Maximum retail price | `4299.0` |
| `discountPercent` | number | Yes | Discount versus MRP, as a percent | `81.0` |
| `currency` | string | No | ISO currency code for `price` and `mrp` | `INR` |
| `rating` | number | Yes | Average customer rating as shown on Flipkart | `4.0` |
| `ratingCount` | integer | Yes | Number of ratings | `9236` |
| `reviewCount` | integer | Yes | Number of reviews | `531` |
| `inStock` | boolean | Yes | Whether the listing is in stock | `true` |
| `category` | string | Yes | Flipkart category label | `MensTopwear` |
| `subCategory` | string | Yes | Flipkart subcategory label | `MensShirt` |
| `keySpecs` | string\[] | Yes | Short specification lines from the listing | `["Pack of: 1", "Fabric: Cotton Linen"]` |
| `sourceType` | string | No | Seed that produced the record: `search`, `category`, or `product` | `category` |
| `sourceQuery` | string | Yes | Search term, category label, or product id used as the seed | `clothing and accessories` |
| `sourceUrl` | string | Yes | Seed URL that produced the record | `https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc` |

#### Product detail fields (conditional — `includeProductDetails`)

| Field | Type | Nullable | Description | Example |
|---|---|---:|---|---|
| `description` | string | Yes | Product description text from the product page | — |
| `highlights` | string\[] | Yes | Highlight lines from the product page | `["Pack of: 1", "Fabric: Cotton Linen"]` |
| `features` | object\[] | Yes | Specification rows: `{title, description}` | — |
| `offers` | object\[] | Yes | Active offers: `{title, value, type}` | `{"title": "Buy at ₹623", "type": "BANK_TAB"}` |
| `imageUrls` | string\[] | Yes | Product image URLs | — |
| `parameterRatings` | object\[] | Yes | Aspect ratings: `{parameter, rating}` | — |
| `ratingBreakdown` | object\[] | Yes | Star-count histogram: `{stars, count}` | `{"stars": 5, "count": 4659}` |

#### Review fields (conditional — `includeReviews`)

Each product record may include a `reviews` array. One review object:

| Field | Type | Nullable | Description | Example |
|---|---|---:|---|---|
| `id` | string | Yes | Flipkart review identifier | — |
| `title` | string | Yes | Review title | `Excellent` |
| `text` | string | Yes | Review body | `Best Quality...` |
| `rating` | integer | Yes | Star rating on the review | `5` |
| `author` | string | Yes | Reviewer name | `vaibhav nikam` |
| `certifiedBuyer` | boolean | No | Whether Flipkart marks the reviewer a certified buyer | `true` |
| `created` | string | Yes | Review date as rendered on Flipkart | — |
| `location` | string | Yes | Reviewer city and state | `Kolhapur, Maharashtra` |
| `helpfulCount` | integer | Yes | Helpful-vote count | `37` |
| `upvotes` | integer | Yes | Upvote count | — |
| `downvotes` | integer | Yes | Downvote count | — |
| `imageUrls` | string\[] | Yes | Reviewer-uploaded image URLs | — |

### Example dataset record

Real record produced from the men's shirts category URL with product details and reviews enabled. The `reviews` and `ratingBreakdown` arrays are truncated to one and two items for readability.

```json
{
  "productId": "SHTGNEFMQYHFHXYG",
  "itemId": "itm8db046dcd06e5",
  "name": "RED TAPE Men Solid Casual Pink Shirt",
  "brand": "RED TAPE",
  "subtitle": "Men Regular Fit Solid Button Down Collar Casual Shirt",
  "url": "https://www.flipkart.com/red-tape-men-solid-casual-pink-shirt/p/itm8db046dcd06e5?pid=SHTGNEFMQYHFHXYG",
  "price": 776.0,
  "mrp": 4299.0,
  "discountPercent": 81.0,
  "currency": "INR",
  "rating": 4.0,
  "ratingCount": 9236,
  "reviewCount": 531,
  "inStock": true,
  "keySpecs": ["Pack of: 1", "Fabric: Cotton Linen", "Sleeve: Full Sleeve", "Pattern: Solid"],
  "category": "MensTopwear",
  "subCategory": "MensShirt",
  "sourceType": "category",
  "sourceQuery": "clothing and accessories",
  "sourceUrl": "https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc",
  "highlights": ["Pack of: 1", "Fabric: Cotton Linen", "Sleeve: Full Sleeve", "Pattern: Solid"],
  "offers": [{ "title": "Buy at ₹623", "type": "BANK_TAB" }],
  "ratingBreakdown": [
    { "stars": 1, "count": 941 },
    { "stars": 5, "count": 4659 }
  ],
  "reviews": [
    {
      "title": "Excellent",
      "text": "Best Quality...",
      "rating": 5,
      "author": "vaibhav nikam",
      "certifiedBuyer": true,
      "location": "Kolhapur, Maharashtra",
      "helpfulCount": 37
    }
  ]
}
```

The record above was produced with this input:

```json
{
  "startUrls": [
    { "url": "https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc" }
  ],
  "maxItems": 5,
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviews": 5,
  "detailConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### Query and input reference

| Input | Type | Required | Default | Accepted values | Description |
|---|---|---:|---|---|---|
| `startUrls` | array (requestListSources) | No\* | — | Flipkart category, search, or product URLs | URL-based entry point. Combined with categories and search queries when those are also set |
| `categories` | string\[] | No\* | — | `mobiles` · `laptops` · `televisions` · `headphones` · `mens-shirts` · `womens-sarees` · `womens-heels` · `mens-sports-shoes` · `watches` · `refrigerators` · `washing-machines` · `air-conditioners` · `microwave-ovens` · `books` · `beauty-and-grooming` | Preset Flipkart browse sections |
| `searchQueries` | string\[] | No\* | — | Free-text search terms (e.g. `samsung tv`) | Product search terms; no URL required |
| `maxItems` | integer | No | `0` | `0` or any positive integer | Maximum products across all seeds; `0` = unlimited |
| `includeProductDetails` | boolean | No | `false` | `true` / `false` | Collect detail fields (charged as `product-details`) |
| `includeReviews` | boolean | No | `false` | `true` / `false` | Collect nested `reviews` (charged as `product-reviews` once per review) |
| `maxReviews` | integer | No | `10` | `0` or any positive integer | Reviews per product when `includeReviews` is enabled; `0` = all available (hard-capped at 10,000) |
| `detailConcurrency` | integer | No | `5` | `1`–`15` | Parallel workers used when details or reviews are enabled |
| `proxyConfiguration` | object | No | Apify proxy, `RESIDENTIAL` group | Apify proxy groups or custom proxies | Residential proxies are recommended for reliable Flipkart access |

\* Provide at least one of `startUrls`, `categories`, or `searchQueries`.

Minimal request:

```json
{ "searchQueries": ["samsung tv"], "maxItems": 10 }
```

Advanced request (combined seeds with enrichment):

```json
{
  "startUrls": [{ "url": "https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc" }],
  "categories": ["mobiles", "laptops"],
  "searchQueries": ["samsung tv"],
  "maxItems": 200,
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviews": 10,
  "detailConcurrency": 5,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Retrieve the data through the API

The Actor runs on the Apify platform. This is the Apify Actor API, not an official Flipkart API.

1. Start the Actor with a JSON input (console or API).
2. Wait for the run to finish, or use a synchronous endpoint if you want the response inline.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "searchQueries": ["samsung tv"],
    "maxItems": 10,
    "includeProductDetails": True,
}

run = client.actor("datascrapers/flipkart-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["productId"], item["name"], item["price"])
```

Apify generates ready-to-run Python, JavaScript, and cURL examples on the Actor's [API tab](https://apify.com/datascrapers/flipkart-scraper/api). Do not put a real API token in shared code or URLs.

### Data quality and record handling

- **Conditional fields**: detail and review fields appear only when their input toggle is enabled. Listing-only runs return a leaner record.
- **Source changes**: Flipkart values can change; unreadable fields are omitted or returned as null rather than fabricated.
- **Deduplication**: within a run, products are de-duplicated by `productId`. Across runs, use `productId` (or `url`) as the external key.
- **Partial enrichment**: a failed details or reviews fetch does not drop the listing record.
- **Charges**: the Actor stops when a spending limit is reached (see run log). Prices, discounts, and rating aggregates are read from Flipkart and stored as the types in the data dictionary. `currency` is typically `INR`.

### Export and pipeline examples

| Destination | Recommended method | Typical use |
|---|---|---|
| PostgreSQL / Supabase | Dataset API poll or webhook consumer | Store catalog prices alongside inventory or PIM records |
| Google Sheets | Apify Google Sheets integration | Share shortlists for price monitoring |
| S3 / cloud storage | Scheduled export via Apify scheduler + integration | Archival of marketplace snapshots |

### Pricing and cost examples

The Actor uses pay-per-event pricing. Event rates are tiered by Apify plan. Listed amounts are the base rates:

| Event | Trigger | Rate |
|---|---|---|
| Actor start | Once per run | $0.00005 |
| `dataset-item` | Every product record pushed to the dataset | $0.002 per product ($2.00 per 1,000) |
| `product-details` | `includeProductDetails` enabled, details collected | $0.002 per product ($2.00 per 1,000) |
| `product-reviews` | `includeReviews` enabled, once per review collected | $0.002 per review ($2.00 per 1,000) |

Example costs (Actor start omitted; it is $0.00005):

| Records | Configuration | Estimated base cost |
|---:|---|---:|
| 1,000 | Listing only | $2.00 |
| 10,000 | Listing only | $20.00 |
| 1,000 | Listing + product details | $4.00 |
| 1,000 | Listing + 10 reviews each | $22.00 |
| 1,000 | Listing + details + 10 reviews each | $24.00 |

Apify paid plans reduce event rates. Compute units and proxy usage are billed by your Apify plan. Estimates depend on the verified pricing model and the options selected for the run.

### Limitations and responsible data use

- The Actor collects publicly accessible data from Flipkart pages only.
- Field availability depends on what Flipkart renders at run time; some values can be null or missing, and site changes can alter fields.
- Listing pagination is capped at 500 pages per seed. Reviews requested as “all” are hard-capped at 10,000 per product.
- The Actor does not provide historical snapshots unless you store them yourself.
- Residential proxies are recommended; coverage may degrade without them.
- You are responsible for compliance with Flipkart's terms of service, applicable privacy law, and any contractual obligations before using the data.

### Dataset questions

#### What does one dataset item represent?

One Flipkart product. Review records are nested inside the product as a `reviews` array, so a product with 50 reviews still produces a single dataset item.

#### Which field should I use as a unique identifier?

`productId` is the stable Flipkart product identifier and is the recommended deduplication key. `url` is a reasonable secondary key.

#### Are fields nullable or conditional?

Yes. Detail fields exist only when `includeProductDetails` is enabled; `reviews` exists only when `includeReviews` is enabled. Fields Flipkart does not render are returned as null or omitted.

#### Can I retrieve the records as CSV or JSON?

Yes. Export JSON, CSV, Excel, XML, or HTML from the Apify Console, or query the Dataset API.

#### How do I query by category or search term?

Set `categories` to one or more enum values (for example `mobiles`) or `searchQueries` to free-text terms (for example `samsung tv`). You can also pass Flipkart URLs in `startUrls`. All three can be combined; `maxItems` applies across them.

#### Does the Actor return historical data?

No. Each run captures page state at run time. Schedule repeated runs and store outputs to track price or rating changes.

#### What counts as a billable result?

Actor start once per run ($0.00005); `dataset-item` for every product ($0.002); `product-details` when details are collected ($0.002 per product); and `product-reviews` for each review ($0.002). A listing-only run incurs Actor start plus `dataset-item` only.

### Related datasets from Data Scrapers

- **[Amazon Search Scraper](https://apify.com/datascrapers/amazon-scraper)** — Marketplace product records joinable by title or brand for cross-retailer price comparison.
- **[Best Buy Product Scraper](https://apify.com/datascrapers/best-buy-scraper)** — Electronics listings for the same price-monitoring pipelines as Flipkart mobiles, laptops, and televisions.
- **[Etsy Scraper](https://apify.com/datascrapers/etsy-scraper)** — Product listings with shop and price fields for catalog research alongside Flipkart apparel.
- **[Costco Product Scraper](https://apify.com/datascrapers/costco-scraper)** — Warehouse-club product and discount records for multi-retailer pricing analysis.

### Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.

# Actor input Schema

## `startUrls` (type: `array`):

Flipkart category, search, or product page URLs (e.g. https://www.flipkart.com/televisions/pr?sid=ckf,czl). Preferred input — the scraper starts from whatever page you pass.

## `categories` (type: `array`):

Popular Flipkart categories to scrape. Combined with Start URLs and search queries when set.

## `searchQueries` (type: `array`):

Product search terms to look up on Flipkart (e.g. "samsung tv", "wireless earbuds"). Primary input for AI agents — no URL required.

## `maxItems` (type: `integer`):

Maximum number of products to scrape across all URLs, categories, and queries (0 = unlimited).

## `includeProductDetails` (type: `boolean`):

When enabled, fetch full product details for each item (description, highlights, features, offers, rating breakdown). Charged as the product-details event in addition to each dataset item.

## `includeReviews` (type: `boolean`):

When enabled, fetch customer reviews for each product. Charged as the product-reviews event once per review, in addition to each dataset item.

## `maxReviews` (type: `integer`):

Maximum number of reviews to collect per product when Include Product Reviews is enabled (0 = all available reviews).

## `detailConcurrency` (type: `integer`):

How many products to enrich in parallel when product details or reviews are enabled. Higher is faster; keep it modest to avoid blocks.

## `proxyConfiguration` (type: `object`):

Proxy settings. Apify Residential proxies are recommended for reliable Flipkart access.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc"
    }
  ],
  "searchQueries": [
    "samsung tv"
  ],
  "maxItems": 10,
  "includeProductDetails": false,
  "includeReviews": false,
  "maxReviews": 10,
  "detailConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing scraped Flipkart products

## `runStats` (type: `string`):

Aggregate scrape statistics for this run

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc"
        }
    ],
    "searchQueries": [
        "samsung tv"
    ],
    "maxItems": 10,
    "maxReviews": 10,
    "detailConcurrency": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascrapers/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc" }],
    "searchQueries": ["samsung tv"],
    "maxItems": 10,
    "maxReviews": 10,
    "detailConcurrency": 5,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("datascrapers/flipkart-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 '{
  "startUrls": [
    {
      "url": "https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc"
    }
  ],
  "searchQueries": [
    "samsung tv"
  ],
  "maxItems": 10,
  "maxReviews": 10,
  "detailConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call datascrapers/flipkart-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/flipkart-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 <APIFY_API_TOKEN>` 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/hrmNFcDUX1ATAGcal/builds/lxnOhEAXBxO6gAco5/openapi.json