What is Receipt Data? Examples, Datasets and Providers

Receipt data tracks transaction details and sales from receipts, offering insights into consumer purchases. This page includes a guide and selected receipt data providers.
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Eugenio Caterino
Editor & Data Industry Expert

What is Receipt Data?

Receipt data is information present on a receipt, typically obtained after a purchase transaction. It includes details such as the date, time, and location of the purchase, the items or services bought, their prices, any applicable taxes or discounts, and the total amount paid. Receipt data is often used for record-keeping, expense tracking, reimbursement purposes, and analyzing consumer behavior and spending patterns.

Examples of receipt data include information such as the date of purchase, items purchased, prices, and store details. Receipt data is used for various purposes, including expense tracking, financial analysis, inventory management, and customer behavior analysis.

Best Receipt Databases & Datasets

Here is our curated selection of top Receipt Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

Logo of Measurable AI

Transactional E-receipt Data | Hotel, Travel, Hospitality

by Measurable AI
USA
United Kingdom
Germany
+45
Free sample preview
Pricing available upon request
Logo of InfoTrie

DocuTrie| Receipt Data | AI-OCR for Document Processing | Bills, Invoices, Receipts and more with updated and custom data templates

by InfoTrie
USA
United Kingdom
Germany
+212
API available
Pricing available upon request
Logo of Reomnify

PDF Scraping Textual Data | Transcription Data | E-Receipt Data, PDF Text Extraction

by Reomnify
USA
United Kingdom
Germany
+246
Pricing available upon request
Logo of Vumonic

India Email Receipt Panel Dataset (Direct from Data Originator) *No PII*

by Vumonic
India
Free sample preview
Pricing available upon request
Logo of TagX

TagX -10000+ Invoices, Payslips, & receipts Document dataset | Intelligent Document processing data | Global Coverage | Refreshed monthly

by TagX
4.9
USA
United Kingdom
Germany
+246
Starts at
$1,000 / purchase
Logo of Exellius Systems

B2B Email Data | 100% Verified Business Email Address | 180M+ Contacts | (Direct Dails) | Decision Makers Direct Emails | 16+ Attributes |

by Exellius Systems
4.9
USA
United Kingdom
Germany
+246
Free sample preview
Starts at
$0.01$0.01 / CPL (Cost Pe...
Logo of Photon Commerce

Photon Commerce - Invoice and receipt extraction, OCR, and reconciliation

by Photon Commerce
USA
United Kingdom
Germany
+61
API available
Pricing available upon request
Logo of HitHorizons

HitHorizons | Company Invoice Data API | 20M+ Companies | 10 European Countries | 20+ Data Points | Monthly Updated | GDPR-Compliant

by HitHorizons
5.0
United Kingdom
Germany
France
+7
Free sample preview
API available
Pricing available upon request
Logo of Edison Trends

Edison Trends Daily Data Feed - E-Receipt Data for USA, UK, Australia, Canada, India & Singapore

by Edison Trends
USA
United Kingdom
Canada
+3
Pricing available upon request
Logo of Measurable AI

Airbnb Transactional E-receipt Data | Hotel, Travel, Hospitality

by Measurable AI
USA
United Kingdom
Germany
+45
Free sample preview
Pricing available upon request

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Receipt Data Explained

How is Receipt Data collected?

Receipt data is collected whenever a sale is made as this process automatically causes the creation of a purchase receipt. While a receipt may seem simple at first, the amount of information it contains is huge. It can tell you about when the purchase was made, what was bought and the price of the products as well as where it was bought (online or in-store, and if it was in-store, where the store itself was). This data can then be analyzed to provide useful sales insights that tell you about both the performance of the store itself and the spending habits of its consumers. If purchases are made online or using a loyalty card scheme, these can then be attributed to specific customers to provide detailed information about their purchasing habits and whether they have a sense of customer loyalty or not.

What are the attributes of Receipt Data?

A basic receipt itself will give you simple information, like that mentioned above. It can contain details about the purchase, the product price and the location as well as if discount codes were applied. However, what is key is that this data can then be analysed to generate detailed insights.

Receipt datasets can tell you the receipt count by store, where a real store or online one as well as share of basket information, which tells you the other products your consumers are buying outside of your brand on the same shopping trip. It can also give you receipt count by day, geography or highlight which retailers have the most brand programme engagement. Finally, it can also give you a full basket analysis of each consumer’s shopping trip to highlight what products they are buying, as well as the regularity of their purchases and whether they return to the same stores or tend to look elsewhere after an initial purchase.

What is Receipt Data used for?

Retailers and consumers use receipt data for the analytics it provides on their store performance. They can use this information to track sales and, crucially, in comparison to their competitions to evaluate how their business is performing in the market. They also use this data to track the spending habits of their customers and tailor marketing campaigns accordingly in order to generate high profit margins and optimize the workings of their business.

How can a user assess the quality of Receipt Data?

A high quality receipt dataset will provide comprehensive information and analytics about purchase data that is recorded by receipts. It is important to have information that is comprehensive and up to date with the latest analytics to ensure that you can judge your business’ performance with the latest details.

Historical receipt data is equally important in a high quality dataset because it can show how purchase trends and consumer spending habits have developed over time. This information is crucial to analyzing store performance over an extended period of time and for highlighting areas that could be made more effective in order to maximize profit production.

Frequently Asked Questions

Where Can I Buy Receipt Data?

You can explore our data marketplace to find a variety of Receipt Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.

How is the Quality of Receipt Data Maintained?

The quality of Receipt Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.

How Frequently is Receipt Data Updated?

The update frequency for Receipt Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.

Is Receipt Data Secure?

The security of Receipt Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.

How is Receipt Data Delivered?

Receipt Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Receipt Data.

How Much Does Receipt Data Cost?

The cost of Receipt Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Receipt Data for your needs.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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