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Swiggy Datasets

Make informed decisions about your food delivery operations using Swiggy datasets.

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  • Available as a custom dataset request
  • Get accurate, up to date real estate data
  • Free data samples for download in JSON or CSV
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信頼されています 20,000+ 人以上のお客様に世界中で

                              {
  "type": "object",
  "fields": {
    "restaurants": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "restaurant_name": {
            "type": "text",
            "active": true,
            "sample_value": "The Spice House"
          },
          "city": {
            "type": "text",
            "active": true,
            "sample_value": "Bangalore"
          },
          "cuisine_type": {
            "type": "text",
            "active": true,
            "sample_value": "Indian"
          },
          "rating": {
            "type": "number",
            "active": true,
            "sample_value": 4.5
          },
          "delivery_time": {
            "type": "text",
            "active": true,
            "sample_value": "30 mins"
          },
          "menu_link": {
            "type": "url",
            "active": true,
            "sample_value": "https://www.swiggy.com/restaurants/the-spice-house-bangalore"
          }
        }
      }
    },
    "menu_items": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "restaurant_name": {
            "type": "text",
            "active": true,
            "sample_value": "The Spice House"
          },
          "item_name": {
            "type": "text",
            "active": true,
            "sample_value": "Paneer Butter Masala"
          },
          "price": {
            "type": "number",
            "active": true,
            "sample_value": 250
          },
          "availability": {
            "type": "boolean",
            "active": true,
            "sample_value": true
          },
          "menu_link": {
            "type": "url",
            "active": true,
            "sample_value": "https://www.swiggy.com/restaurants/the-spice-house-bangalore"
          }
        }
      }
    },
    "url": {
      "type": "url",
      "required": true,
      "active": true
    }
  }
}

Custom Swiggy dataset sample

Choose from fully managed or self-managed datasets. Fully managed datasets offer a hands-off experience and are managed by our partners. With self-managed custom datasets, you set up the project & validation rules. The Swiggy data points may include: restaurant name, cuisine type, menu items, pricing, ratings, reviews, delivery time, location, discounts, and more.
THE PROCESS

Automated dataset creation platform

Streamline your data-collection process so you can focus on what matters.

  1. Initial setup

    Add the URLs of your target website.

  2. Sample creation

    Get AI-generated schema and sample. Set up validation rules.

  3. Proof of concept

    The scraper is built based on schema and validation rules.

  4. Data collection & delivery

    Data is collected and delivered.

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Custom Dataset Pricing

CUSTOM DATASET
サブスクリプション
最低料金
$300/月
1回
最低料金
$1,000
概念実証
1回
$500
  • AI-Generated schema & sample
  • Control over data validation
  • Real-time product quantity est.
  • Daily, Weekly, Monthly, Custom
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Swiggy datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

データサブスクリプション

サブスクリプションをご利用いただくと、大幅な割引でデータセットにアクセスできます。

ファイル出力形式

JSON、NDJSON、JSON Lines、CSV、Parquet。.gz圧縮 (オプション)。

フレキシブルなデリバリー

Snowflake、Amazon S3バケット、Google Cloud、Azure、SFTP。

スケーラブルなデータ

インフラ、プロキシサーバー、ブロックを心配せずに拡張できます。

コスト削減

フィルターとフォーマットオプションを使用して任意のデータセットをカスタマイズします。

コードメンテナンス

データセットはウェブサイトの構造の変更に基づき維持されています。

シンプルな統合

SnowflakeおよびAWSとの統合のメリットを活用できます。

年中無休24時間対応のサポート

データ専門家の専任チームがお手伝いします。

コンプライアンスにおけるリーダー

データは倫理的に取得され、すべての個人情報保護法に準拠しています。

Get structured and reliable Swiggy data

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当社がデータを提供するので、お客様は他の業務に集中できます

大容量のウェブデータ

ブロック解除機能と24時間体制のIPローテーションにより、ウェブサイト上のすべてのデータポイントへのアクセスを保証します。

すぐに使用できるデータ

強力なデータ検証プロセスの一環として、データ収集プロセスのあらゆる側面が徹底的に検証されています。

自動データフロー

カスタムスケジュールを作成してデータデリバリーを自動化すれば、データがストレージにシームレスに流れます。

How companies use Swiggy datasets

Delivery Route and Time Optimization

Analyze order timings, delivery durations, and geographic data to optimize driver routes, reduce late deliveries, and improve overall logistics efficiency in the food delivery network.
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Delivery Route and Time Optimization

Menu Item Popularity Trends

Monitor customer ratings for individual menu items across regions, helping restaurants adjust their offerings, pricing, and specials to meet local demand effectively.
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Menu Item Popularity Trends

Real-Time Consumer Sentiment Analysis

Aggregate and analyze customer feedback and order frequency data to identify satisfaction trends, preempt service issues, and tailor marketing campaigns to boost repeat orders and customer loyalty.
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Trustpilot

Swiggy Dataset FAQs

The Swiggy dataset may include various data points to fit your needs. Some of the data points may include: restaurant name, cuisine type, menu items, pricing, ratings, reviews, delivery time, location, discounts, and more.

Yes, you can get updates to your Swiggy dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a Swiggy subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.

Yes, you can request specific data points from the Swiggy dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the Swiggy dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.

Get your Swiggy dataset today.

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