Merchant API will provide you with all essential data and metrics for conducting comprehensive competitor analysis, price monitoring, and market niche research.

With Google Shopping API you can get:

• Google Shopping Products listed for the specified keyword. The results include product title, description in Google Shopping SERP, product rank, price, reviews, and rating as well as the related domain. • Full detailed Google Shopping Product Specification. You will receive all product attributes and their content from the product specification page. • A list of Google Shopping Sellers of the specified product. The provided data for each seller includes related product base and total price, shipment and purchase details, and special offers. • Google Shopping Sellers Ad URL with all additional parameters set by the seller.

With Amazon API you can get:

• Results from Amazon product listings according to the specified keyword (product name), location, and language parameters. • A list of ASINs (unique product identifiers assigned by Amazon) of all modifications listed for the specified product and information about the product prices based on ASIN • Amazon Choice products

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

The Data Labeling Solutions and Services market is experiencing robust growth, driven by the escalating demand for high-quality training data in the artificial intelligence (AI) and machine learning (ML) sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching approximately $75 billion by 2033. This expansion is fueled by several key factors. Firstly, the increasing adoption of AI across diverse industries, including automotive, healthcare, and finance, necessitates vast amounts of accurately labeled data for model training and improvement. Secondly, advancements in deep learning algorithms and the emergence of sophisticated data annotation tools are streamlining the labeling process, boosting efficiency and reducing costs. Finally, the growing availability of diverse data sources, coupled with the rise of specialized data labeling companies, is further contributing to market growth. Despite these positive trends, the market faces some challenges. The high cost associated with data annotation, particularly for complex datasets requiring specialized expertise, can be a barrier for smaller businesses. Ensuring data quality and consistency across large-scale projects remains a critical concern, necessitating robust quality control measures. Furthermore, addressing data privacy and security issues is essential to maintain ethical standards and build trust within the market. The market segmentation by type (text, image/video, audio) and application (automotive, government, healthcare, financial services, etc.) presents significant opportunities for specialized service providers catering to niche needs. Competition is expected to intensify as new players enter the market, focusing on innovative solutions and specialized services.

The ODBC market offers a range of products to cater to diverse customer requirements. Multi-tier ODBC drivers are designed for complex data environments that require connectivity to multiple databases simultaneously. Single-tier ODBC drivers are suitable for simpler data environments where connectivity to a single database is sufficient. Cloud-based ODBC solutions provide the benefits of cloud computing, such as scalability, flexibility, and ease of maintenance. On-premise ODBC solutions offer greater control and customization options for organizations with specific data management requirements. Recent developments include: April 2023: Amazon DocumentDB (with MongoDB compatibility) is a scalable, incredibly durable, fully managed database service for running mission-critical MongoDB workloads. Amazon DocumentDB recently disclosed a new ODBC connection that allows Microsoft Excel and PowerBI to connect to Amazon DocumentDB clusters. With the ODBC connector, anyone may now query and view data stored in DocumentDB from programs that allow ODBC access., February 2021: The open-source data networking technology called Apache Arrow Flight, which Dremio co-developed and which dramatically increases data transmission rates, will now be supported by Dremio, a pioneer in the field of data lake transformation. Using over ten-year-old technologies like Java Database Connectivity (JDBC) and Open Database Connectivity (ODBC), client applications can now communicate with Dremio's data lake service more swiftly than they could previously..