What is Bigcommerce Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Bigcommerce Data?
Bigcommerce Data is information and statistics collected and stored by the Bigcommerce platform. This data is crucial for businesses using Bigcommerce to make informed decisions, optimize their online stores, and drive growth.
What Are Examples of Bigcommerce Data?
Examples of Bigcommerce Data include:
- Customer reviews
- Sales trends
- Product details
- Inventory levels
- Website analytics
- and mode
Best Bigcommerce Databases & Datasets
Here is our curated selection of top Bigcommerce 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.
BigCommerce stores list- 46k+ stores worldwide | scrapelabs.io
Amazon Data | Amazon Product Data | Amazon Reviews Data | Seller Performance, Product Rankings for Competitive Analysis
AI Training Data | Annotated Checkout Flows for Retail, Restaurant, and Marketplace Websites
Can't find the data you're looking for?
Let data providers come to you by posting your request
Post your request
Top Bigcommerce Data Providers & Companies
-
Growth Marketing
CoverageUSAUK+163We're a data-driven company that achieves goals and generates more sales. Using scientific methods and analyzing your Customer Base, we empower customer experience and Conversion Rate in every stage of the eCustomer Journey.VerifiedLast 30 days validation emailGDPRCompliance 100% Respected20+ NichesMost Valuable Markets -
APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
-
Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
-
Measurable AI
CoverageUSAUK+248- Largest e-receipts panel for emerging markets: Asia, Latin America, Middle East, Turkey, and India - SKU level high definition transactional data that is anonymized and available in granular or aggregated form on a weekly basis - We own our datasets with strict privacy measures in placeGDPR/CCPACompliantSourceOwn consumer appsCoverageEmerging Markets -
Coface Business Information
CoverageUSAUK+248Gain confidence in your decision-making with Coface Business Information. We transform curated, daily data into actionable insights – so you get ahead of what’s coming next.$715 BInsurance risk exposure+200Markets covered75 yearsExpertise -
ScrapeLabs
CoverageUSAUK+247VGreat service! I used Scrapelab’s “Top Shopify stores in the US” data set, and they provided me with exactly the information I needed for my domestic industry research. Their website is transparent on what the dataset contains so there are no unmet expectations, and the insights I’ve gained has easily saved me time and money. Easy setup and formatting, high quality data, and their support is fantastic! If you need data scraping services I would look no further. I am looking forward to working with them again.
Popular Use Cases for Bigcommerce Data
Bigcommerce Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Bigcommerce Data.
Main Attributes of Bigcommerce Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a country. | View 1 datasets | |
| String | The email address of a company or contact. | View 1 datasets |
Frequently Asked Questions
How is the Quality of Bigcommerce Data Maintained?
The quality of Bigcommerce 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 Bigcommerce Data Updated?
The update frequency for Bigcommerce 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 Bigcommerce Data Secure?
The security of Bigcommerce 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 Bigcommerce Data Delivered?
Bigcommerce 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 Bigcommerce Data.
How Much Does Bigcommerce Data Cost?
The cost of Bigcommerce 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 Bigcommerce Data for your needs.
What Are Similar Data Types to Bigcommerce Data?
Bigcommerce Data is similar to other data types, such as Amazon Data, Alibaba Data, Amazon Sellers Data, eBay Data, and AliExpress Data. These related categories are often used together for applications like Ecommerce Intelligence and Competitive Intelligence.
