Introduction
Web scraping enables businesses to easily track and update their product listings across multiple websites simultaneously. Web scraping enables companies to maintain accurate, consistent product information across their online stores, without being limited to a particular website or time of day. It means that if your customer needs to see the exact price of a product before buying, you can provide it immediately, without waiting for your sales team to get back to you.
Web scraping has revolutionized e-commerce and continues to grow in popularity among businesses seeking to improve their product listings by extracting data from multiple websites. It is the fastest way to get your brand in front of potential customers. This article explains what web scraping is and how it helps e-commerce businesses.
What Is Web Scraping?
Web scraping is the automated collection of data from websites using scripts or specialized software. A web scraper collects information from web pages, such as product prices, names, availability, specifications, images, and reviews. Keeping track of prices and inventory for multiple products is easier and faster with web scraping. You can use this collected data to automatically update or add to your product listings. Other uses of web scraping include comparison shopping, monitoring competitors, market research, and market analysis. A correctly implemented web scraping solution will be a valuable part of your data-driven product management approach.
Why Keeping Product Listings Updated Is Critical?
Keeping your product listings up to date regularly can improve not only revenue but also consumer satisfaction. As a result of this, consumers may well feel moved to place rather more trust in the company. The three main reasons you should regularly update product listings.
Customer Trust
A customer’s trust in knowing the correct price and stock availability at the time of purchase is vital in deciding whether they will buy anything. If a price is listed inaccurately or stock availability is outdated, a customer may feel cheated and not purchase. Updated product listings help companies and consumers trust each other more, while lowering the complaint rate and returns.
Search Engine Visibility
When consumers search for a product, search engines return search results based on the most recent, relevant, and active product data. By constantly updating product descriptions, prices, and stock availability, search engines regard companies as actively managing their products and put them at the front of search results.
Competitive Advantage
Companies that operate in a highly competitive industry typically have constant fluctuations in their product prices and stock levels. Companies that can quickly react to these fluctuations are more likely to succeed than those that do not keep their product listings up to date. The use of web-scraping tools enables businesses to automate price and availability adjustments, helping them maintain a competitive position.
Greater Operational Efficiency
Updating product listings manually takes a lot of time and resources for your employees. By automating the product listing update process, you free your employees to spend more time on strategic company growth rather than performing duplicate manual updates.
How Web Scraping Helps Keep Product Listings Updated?
Through web scraping, businesses can gain rapid access to product changes, which ultimately helps them remain competitive. Companies will be able to save time by automating the collection of the product information they require from various sites and eliminating the human component involved in gathering it. The automation process helps in the following areas:
Competitiveness depends on pricing that reflects current consumer demand. By using web scraping tools to monitor your competitors continuously, you can respond quickly and efficiently to any pricing changes. It lets you proactively respond to price changes without manually monitoring your competitors’ pricing.
Using real-time tracking to monitor your stock/availability levels allows you to provide your customers with a superior customer experience, while reducing product return rates. Web scraping is a great way to track stock/availability levels from supplier platforms. It can help you avoid overselling products by accurately monitoring stock levels.
Both manufacturers and retailers need to thoroughly track product specifications and descriptions and keep these records up to date. Many manufacturers update product specifications frequently through electronic devices (such as smartphones or laptops) and through fashion products and industrial equipment. Consequently, both retailers and manufacturers should use automation to regularly monitor file updates, so that both parties have access to an accurate inventory list and reduce confusion for consumers, thereby maintaining a competitive advantage in the marketplace. It will help reduce the total number of products returned.
Using web scraping also lets you monitor updates to both the images and content related to your products, keeping your site up to date. Accurate, up-to-date visuals and content give you a better understanding of your competition and can help your organization reach more customers and increase your conversion rate by helping customers make an informed decision about their purchase.
Web scraping enables businesses to develop scalable methods to stay current with the content and information in their data sources. It allows companies to build customer trust and to remain competitive in the rapidly evolving digital age.
Must read: Smarter Product Matching Using Web Scraping
What Are the Product Data Types Available for Scraping?
To keep your website current with the most accurate and real-time product information, you can scrape a variety of elements, such as product title and SKU, pricing, discounts, inventory status and availability, product description and bullet point specs/dimensions, customer ratings/reviews, shipping costs/delivery timeframes, and product image/media links. The key to successful scraping is to determine which specific data elements will provide a competitive advantage for achieving your company’s goals and maintain a consistent scraping schedule for those elements.
What Are The Step-by-Step Process to Keep Listings Updated with Web Scraping?
Maintaining accurate, up-to-date product information requires a systematic approach that leverages web scraping techniques to ensure data remains consistent, efficient, and scalable.
Step 1: Determine the Websites You Will Scrape
Choose which websites you would like to scrape data from and what type of product-related information you would like. Generally, this includes the following sources: supplier and manufacturer websites for pricing and product details; competitor eCommerce websites to identify trends within your industry; online marketplaces for fulfillment and Review Monitoring, and Price Comparison Sites to provide your audience with as much information about the market as possible.
As such, you should identify a small number of reliable sites and revisit them regularly to scrape them, as using unreliable sites may result in inaccurate product listings and a poor customer experience.
Step 2: Establish What Data You Will Collect
After selecting your sites to scrape, determine the frequency with which you would like to receive your data from each supplier, and how much of that data you would like collected. Examples of data update frequencies may include: hourly for very competitive pricing; daily for Stock Levels; and Weekly for Descriptions and Specifications. Specifying the frequency of updates enables more frequent updates and reduces the processing of duplicate information.
Step 3: Choose Web Scraping Tools
The tools available for scraping will depend on your level of technical expertise and your business’s size. The most flexible (but time-consuming) solutions for custom scraper development would require you to build them yourself using programming languages such as Python (e.g., “BeautifulSoup” or “Scrapy”).
Alternatively, the least flexible option would be to use a conscript; depending on the tool selected (or developed), different layouts will be available for various data types.
Therefore, when creating custom scraping solutions, customization remains the most effective method. Low-code or no-code solutions typically allow you to build scrapers faster than coding, but will limit you to much fewer opportunities for advanced scraping.
Step 4: Schedule Automated Web Scraping
Automating your scraping is critical to maintaining accurate product listings, and thus, to determining when the data is likely to be required by your customer base. For example, in highly competitive environments, the need to scrape pricing information hourly is critical.
In contrast, in a more stable pricing environment, daily stock level updates should be scheduled for scraping. If a product’s description or specification changes, it should be expected in weekly scraping. Proper scheduling of scraping will provide your customers with accurate/up-to-date listings while reducing server load, thus reducing the likelihood of being blocked.
Step 5: Clean and Validate Your Scraped Data
Typically, scraped data contains many errors, duplicates, and formatting issues. Data cleaning would require you to convert your scraped data into standardized formats, eliminate duplicates, and verify values against historical trends or predefined validation rules. A sudden price drop would potentially indicate a Value that has dropped considerably, whereas several fluctuations could suggest that your Stock Level should be checked and validated. Cleaning scraped data is a necessary step to minimize the risk of consumers seeing inaccurate data when viewing live product listings.
Step 6: Integrate Cleaned Data with Your Product Management System (CMS, PIM, and/or ERP)
The final step in developing your product management systems will be to integrate your cleaned, scraped data with your systems or programs (CMS, ERP, or PIM). Therefore, when using your automation solution to populate your listings, you can now automatically update prices based on a predetermined threshold and automatically mark out-of-stock products when inventory levels reach zero.
What Are the Best Practices for Using Web Scraping in Product Updates?
You must comply with the policies specified on the site server’s Terms of Service and the Robots.txt file by understanding the types of data that can be retrieved and how many retrieval attempts can be made to protect yourself from any future potential legal or compliance-related ramifications resulting from the use of web scraping techniques. Following these two guidelines establishes an ongoing and uninterrupted working relationship with the data source.
If you submit requests to the server in quick succession, the server may automatically slow down or reject any further requests due to overload, potentially resulting in IP blocking or legal action against you for excessive web scraping. Therefore, it is advisable to establish an acceptable rate limit for the scraping activity to remain within your hosting provider’s terms of service and avoid potential issues related to web scraping.
Many websites regularly update their layouts, structures, and security protocols. By actively monitoring your web scraper’s performance, you can detect changes to a website’s layout, structure, and security quickly and reliably. Conducting regular audits and implementing automated alert systems can identify performance issues and errors made during the web scraping process.
If you are scraping high volumes or at frequent intervals, utilizing a range of proxies and user agents will help maintain the appearance of requests originating from separate users and reduce the risk of detection/blocking due to excessive traffic from a single IP address.
Finally, any data collected through an automated means should be verified for accuracy and compliance. This is best established by comparing collected data with a previous or known exemplary set of data. The risk of losing historical data associated with collecting erroneous pricing or other inaccurate data is far greater than the risk of losing business by causing damage to your products or services.
What Are the Legal and Ethical Considerations?
Legally scraping websites varies by country. Some important points include:
- Do not scrape any private or password-protected information.
- Adhere to copyright ownership and the rightful ownership of the data.
- Do not collect personal data about users.
- Be sure to comply with data protection laws in the area where the scraper resides.
- If scraping will be a significant part of your business, contact an attorney for guidance.
How Web Scraping Improves Long-Term Ecommerce Growth?
With regularly updated product listings, eCommerce businesses can have:
- Better conversion rates
- Fewer customer support issues
- Improved SEO performance
- Quicker reaction to changing market conditions
- Pricing and inventory based on real-time data
After some time, those same automated processes will become more strategic than technical.
Conclusion
It is no longer optional to keep your product listing up to date in today’s fast-paced digital market. Web scraping is the most effective, scalable, and accurate way to automate the updating of product data across a wide range of websites.
Listing product prices and stock levels through web scraping can help eCommerce businesses build customer trust and compete more quickly than any other method. Using web scraping ethically and strategically is now critical to the future success of e-commerce.
3i Data Scraping offers comprehensive web scraping solutions for eCommerce businesses, ensuring legal and reliable data collection. 3i Data Scraping has extensive experience with large-scale web scraping and automated data synchronization. 3i Data Scraping has the data accuracy needed for eCommerce businesses to update their product listings to reflect real-world changes with zero manual effort.
To continue competing in the future, eCommerce businesses need to find appropriate web scraping tools, processes, and best practices, and work with experienced web scraping services provider like 3i Data Scraping.
About the author
Olivia Bennett
Content Writer
Olivia is a skilled content writer who writes engaging and SEO-friendly articles. With over 5 years of writing experience, Olivia transforms ideas into captivating stories. With a strong command over writing and research, she creates content that connects brands with their audience and drives meaningful engagement.
