Uber Eats Datasets
Leverage our Uber Eats dataset to refine your strategies and uncover emerging trends within the world of food delivery and dining habits
- Available as a custom dataset request
- Get accurate data you can rely on
- 100% compliant scraping
{
"type": "object",
"fields": {
"restaurants": {
"type": "array",
"active": true,
"items": {
"type": "object",
"fields": {
"restaurant_id": {
"type": "text",
"active": true,
"sample_value": "67890"
},
"name": {
"type": "text",
"active": true,
"sample_value": "Pizza Palace"
},
"cuisine_type": {
"type": "text",
"active": true,
"sample_value": "Italian"
},
"location": {
"type": "object",
"active": true,
"fields": {
"address": {
"type": "text",
"active": true,
"sample_value": "456 Elm St, Sampletown, USA"
},
"latitude": {
"type": "number",
"active": true,
"sample_value": 34.0522
},
"longitude": {
"type": "number",
"active": true,
"sample_value": -118.2437
}
}
},
"rating": {
"type": "number",
"active": true,
"sample_value": 4.3
},
"review_count": {
"type": "number",
"active": true,
"sample_value": 210
},
"delivery_time_estimate": {
"type": "text",
"active": true,
"sample_value": "15-25 min"
},
"delivery_fee": {
"type": "number",
"active": true,
"sample_value": 3.49
},
"menu": {
"type": "array",
"active": true,
"items": {
"type": "object",
"fields": {
"item_id": {
"type": "text",
"active": true,
"sample_value": "54321"
},
"item_name": {
"type": "text",
"active": true,
"sample_value": "Margherita Pizza"
},
"description": {
"type": "text",
"active": true,
"sample_value": "Classic pizza with tomato, mozzarella, and basil."
},
"price": {
"type": "number",
"active": true,
"sample_value": 12.99
},
"dietary_tags": {
"type": "array",
"active": true,
"items": {
"type": "text",
"sample_value": "Vegetarian"
}
}
}
}
}
}
}
},
"related_searches": {
"type": "array",
"active": true,
"items": {
"type": "object",
"fields": {
"related_search_term": {
"type": "text",
"active": true,
"sample_value": "pizza delivery"
},
"related_search_link": {
"type": "url",
"active": true,
"sample_value": "https://www.ubereats.com/search?q=pizza+delivery"
}
}
}
},
"source_url": {
"type": "url",
"required": true,
"active": true,
"sample_value": "https://www.ubereats.com"
}
}
}
Uber Eats dataset sample
Automated dataset creation platform
-
Initial setup
Add the URLs of your target website.
-
Sample creation
Get AI-generated schema and sample. Set up validation rules.
-
Proof of concept
The scraper is built based on schema and validation rules.
-
Data collection & delivery
Data is collected and delivered.
Custom Dataset Pricing
- AI-Generated schema & sample
- Control over data validation
- Real-time product quantity est.
- Daily, Weekly, Monthly, Custom
Uber Eats datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Uber Eats data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use Uber Eats datasets
Competitive Benchmarking
Market Analysis and Segmentation
Demand Forecasting
Uber Eats Dataset FAQs
What data is included in the Uber Eats dataset?
We will create a custom dataset from Uber Eats focusing on publicly available data points tailored to your specific requirements. Data points may include restaurant types, menu items, pricing, customer ratings, delivery times, and popular orders.
Can I get updates for my purchased Uber Eats dataset?
Yes, you can get updates to your Uber Eats dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Uber Eats dataset?
Yes, you can purchase a Uber Eats subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the Uber Eats dataset?
You can choose one of the following formats: JSON, ndJSON, CSV, or XLSX.
Can I scrape Uber Eats public data by myself?
If you don’t want to purchase a dataset, you can start scraping Uber Eats data using our web scraping API.
Can I get a data sample?
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.
Can I request specific data points from the Uber Eats dataset?
Yes, you can request specific data points from the Uber Eats dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the Uber Eats dataset directly into my existing systems?
Absolutely, the Uber Eats 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.
How Uber Eats datasets can help me?
Leverage our Uber Eats dataset for diverse applications to enhance business strategies and market insights. Analyzing this dataset can facilitate an understanding of consumer preferences and trends within the food delivery industry, empowering organizations to refine menu offerings and delivery strategies. Access the entire dataset or customize a subset to align with your specific needs.
Popular use cases include optimizing menu selections based on customer preferences, conducting detailed market analysis and segmentation, and identifying and predicting emerging trends in food consumption and delivery preferences.