Any formats — XML, CSV, JSON, and more
Flexible volume — choose the number of products you need
Easy analysis — the file opens without overload
Sample Feed makes it possible to work even with the heaviest feeds without losing original data. We do not rewrite or adjust the content — everything that comes in the original file remains unchanged. The tool creates a shortened copy by neatly trimming the feed to the specified number of products and properly closing its structure. As a result, you get a complete, valid file in the same format, but in a mini-version, convenient for analysis.
The product file is too large and cannot be opened on your computer
You need to check the structure and make sure the data is correct
You work with a supplier and want to quickly evaluate their feed
It is important to see the original content without changes
You need a valid feed, even if the original file was huge
You want to speed up analytics and save resources
Upload the original feed into the system — in any format: XML, CSV, JSON, and others
1The system analyzes the file, detects the product structure, and understands how it is built
2Based on the analysis, a mini-version is automatically created: trimmed to the specified number of products without distortion
3The file is properly closed by all tags and remains valid in its original format
4You receive a ready Sample Feed that can be easily opened and analyzed on any computer
5Sample Feed connects with other NotPIM tools, giving your business a fully automated process for handling product content “turnkey”, without manual runs or checks.
Simply configure Sample Feed in your account and get a mini-feed in the original format without complex integration.
Working with large product feeds in e-commerce often turns into a problem. The larger the catalog, the harder it is to open it on a computer and conduct a full analysis. Many companies face the issue where the file simply won't open or loads the system so heavily that further work becomes impossible. In such cases, the Sample Feed tool comes to the rescue, creating a mini-version of the original feed. The logic behind this solution is simple: you get a shortened file with a limited number of products, but all the data inside remains in its original form. Every line, every attribute, and every detail remains exactly as it was in the original file. This allows you to safely check the structure, examine the catalog composition, and assess the data correctness without risk of loss and without system overload.
The main feature of Sample Feed is that it works exclusively for analytics. The tool does not interfere with the feed's content; it only reduces its volume. All products with the same attributes and characteristics as in the source file are preserved within the mini-version. Even if the original contains typos, empty fields, invalid values, or encoding errors, all of this is fully retained. Thanks to this, analysts, content managers, or e-commerce specialists see the picture "as is." They get the opportunity to check the feed structure and data quality based on the real file, rather than an artificially processed version. This is a key advantage because any analysis must rely on the original data, even if it contains inaccuracies.
Sample Feed processes files intelligently. If we are talking about an XML feed, for example, the tool understands the document structure, finds exactly where the product blocks begin and end, and neatly terminates the file after the specified number of products. The result is a valid document that can be safely opened in any editor or system. The mini-version fully complies with the format rules, meaning it can be used to check data quality and correctness without the risk of encountering a reading error. This is important because simple mechanical deletion of lines or blocks does not guarantee that the file will remain readable. Sample Feed accounts for these nuances automatically and creates a complete file, just shorter.
The tool supports working with any product data formats. This can include XML, CSV, Excel, JSON, YML, and many others. It doesn't matter to the specialist in what form the supplier provided the catalog; Sample Feed will create the mini-file correctly in every case. Moreover, if the client has an archive containing several files, the system will decompress it and allow selection of which specific document to use for analysis. This approach is particularly useful for those working with multiple suppliers, where each might use their own formats and approaches to feed structure.
The speed of Sample Feed is another advantage. Since the system only analyzes the first few products in the file, processing takes only a few seconds. Even with very large catalogs, there is no need to wait for long processes to complete. The mini-file is quickly generated and immediately available for download. Waiting time may only depend on the download speed of the final file, but the processing itself is almost instantaneous. This allows analysts to quickly check incoming data and immediately see the state of the product catalog.
What is Sample Feed most often used for? Primarily for checking the structure and data quality from suppliers. When you receive a large feed, there is absolutely no need to open it entirely. It is enough to look at the first few dozen products to understand how correctly the file is structured, what data is filled in, which fields are empty, and whether there is uniformity in the attributes. Such an analysis helps quickly assess the supplier's performance and decide how convenient it will be to integrate their catalog. Additionally, the tool is useful when testing new data sources or launching new projects where you need to ensure the file structure meets expectations.
Sample Feed is especially valuable for content managers and integration specialists. In their work, there are often situations where the file is huge, but only its structure needs to be checked. Opening giant documents for this purpose is a waste of time and resources. The mini-version solves the task in minutes. Moreover, since everything is preserved "as is" in the file, the specialist sees real problems if they exist: incorrect values, empty descriptions, shifted encodings. This makes the analysis as accurate and close to reality as possible.
It is important to note that Sample Feed does not make any changes to the data. The tool does not correct errors, edit attributes, or adjust the structure. Its task is to create a file that is an exact copy of the original, only shorter. Essentially, the system simply neatly removes a large chunk of unnecessary products and leaves everything else unchanged. This is a fundamental point, as many clients want to be sure that the data has not passed through filters or transformations. Sample Feed preserves every character exactly as it was.
Technologically, the tool works through intelligent structure analysis. The system uses algorithms and artificial intelligence to determine exactly how the file is built: where products begin and end, which tags belong to characteristics, how attributes are described. Based on this understanding, a correct mini-version is formed, which remains valid and convenient for analysis. This approach guarantees that the file will be shortened without errors and will not lose its logic.
In e-commerce, working with large files is always associated with risks. The more data, the higher the probability that it will be processed with errors or won't open at all. Sample Feed helps avoid such situations. The mini-version provides an opportunity to conduct an analysis in advance, ensure that the data is transferred correctly, and make a decision on further steps. This is especially important in situations where a company works with several suppliers simultaneously. Checking every file in its entirety might be impossible due to its size, but Sample Feed allows for quick and convenient analytics without unnecessary load.
Thus, Sample Feed is a tool created for the analysis and quality check of product feeds. It does not interfere with the data but merely helps make it accessible for viewing and analysis. The mini-version of the file becomes a convenient solution when the original document is too heavy to open entirely. Using this approach, online stores, suppliers, and content managers save time and resources and can be confident that they are working with original data. The tool preserves the file structure and format, makes it convenient for analysis, and ensures full compliance with the original content. It is a simple yet effective solution for anyone dealing with large catalogs who wants to be sure about the correctness and quality of their product data.