Introduction
Every day, e-commerce companies must compete against one another. Prices frequently fluctuate by the hour. Competitors can announce products without notice. Consumers often change their preferences in seconds. With that in mind, to remain competitive, businesses must keep on the pulse of the market using up-to-the-second market intelligence. More specifically, this is why e-commerce businesses must use web scraping to stay ahead of the competition.
Web scraping refers to the automated method of scraping public information from web pages. E-commerce companies utilize web scraping to monitor competitor products and pricing, and to gather an understanding of market flow. Professional data scraping companies such as 3i Data Scraping provide valuable services to help businesses scrape data, and also convert that scraped data into something that can provide businesses with intelligence.
Understanding Web Scraping for E-commerce
Web scraping entails the use of automated tools to sort through web pages, identify specific data, extract that data within the tools, and store that extracted data into usable formats. In the case of e-commerce, web scraping can be a process of extracting information about competitors’ products, prices, reviews, and inventory items from countless competitor e-commerce websites.
However, human data collection cannot compete in speed and scale with what is needed today in e-commerce. A single analyst could check 50 product prices a day, while scraping tools can check thousands of products across dozens of competitors every hour. The difference in scale is an important and significant competitive advantage.
The scraping technology sends requests to web servers and downloads the HTML from the web page. The scraping technology would then process the downloaded HTML to extract specific data points. Advanced scraping solutions like 3i Data Scraping use more advanced techniques to accomplish web scraping through complex websites and dynamic content. Advanced scraping solutions can even scrape data that is leveraging anti-scraping technologies.
Related: Web Scraping vs Manual Data Collection: Which is Better?
Key Applications of Web Scraping in Competitive Intelligence
In such a competitive industry, every choice matters; the difference between being ahead or behind your competitors usually comes down to being informed in real-time with actual data.
Real-time Pricing Strategy
Using web scraping, companies can track pricing on all competitors in near real-time. Retailers can now see when a competitor has raised or lowered their price or found a promotion or discount price. This gives businesses the intelligence to act in almost real-time, rather than days later when they find out about a price change.
Also, when businesses have historical pricing data, they are able to recognize patterns. Competitors will often have predictable cycles around dates like holidays, product launches, or certain seasons. 3i Data Scraping provides businesses with the ability to build these historical databases to help predict prices on the market in the future.
Analysis of Product Assortment
It is just as important to know what your competitors sell as it is to know how much they are selling it for. An analysis of the product assortment can put you onto products that are missing from your catalog or identify potential hot-selling items.
The process of web scraping can extract wholesale product assortments from your competitors’ websites. Your business can then look to see what products they are adding, breaking stocks on, categories that are important to their overall assortment, and what products occupy valuable or prime marketing space on the website. This is extremely valuable intel as it will inform your inventory position and product sourcing position.
Additionally, once you have scraped product descriptions and specifications, you can look for opportunities to differentiate your product. If your competitors have similar products with nearly exactly the same product descriptions, you can look to serve your customer a more intriguing value proposition through clearly designated product content and bundling the product in some way.
Review and Sentiment Monitoring
A review is a treasure trove of intelligence about the market, feedback, and most importantly, unmet customer needs. Reviews can expose product weaknesses, strengths, unmet needs for improvement, and emerging trends. However, manually gathering reviews across platforms is extremely time-consuming and cost-prohibitive!
Web scraping works to collect and scrape reviews directly from competitor product pages, marketplace platforms, and social proof review aggregate platforms. 3i Data Scraping can leverage review scraping functionality and insight in sentiment analysis to help you understand the reviews.
Analyzing Inventory and Stock Status
Stock availability can be a signal of the strength of demand and the efficiency of a supply chain. When competitors are frequently out of stock, demand is strong, or there is a supply issue. When a stock is persistently available, it may indicate there is weak selling or issues of overstock.
By scraping inventory status, businesses can identify potential opportunities. If a popular product is out of stock with major competitors, capture that unmet demand by increasing your marketing spend and getting a jump on the sales. Additionally, if you track restocking based on scraping lumber product inventory, you can predict the supply chain cycle of the competitor.
MAP Compliance Monitoring
Brands that operate through multiple sales channels must enforce their Minimum Advertised Price policy (MAP). Unauthorized sellers (those that do not have a direct wholesale relationship with the brand) often violate MAP compliance and which undermines brand value and adds pricing confusion to the marketplace.
For brands, scraping available inventory status can help identify violations of MAP pricing through a marketplace, unauthorized retailer or third-party sellers. Once that violation is identified, brands can get out in front and take action against delinquent sellers before their pricing starts to confuse consumers, and to bring the relevant stakeholders back into compliance. 3i Data Scraping offers fully customized MAP solutions. We are able to scrape thousands of sellers simultaneously, and report on the related data, including prices, flagging non-compliant sellers, etc.
With the right data scraping strategy, businesses can be one step ahead by forecasting changes, recognizing niche opportunities and gaining control in a rapidly changing environment. 3i Data Scraping provides brands with actionable insights for better strategy, better insights and better outcomes for their businesses.
The Technical Edge of Professional Scraping Solutions
Under the smooth competitive intelligence lies a difficult technical process that is often overlooked by many businesses. Today’s websites are dynamic, heavy in data, and protected, which makes it very difficult to get a reliable extraction of data. This is where professional scraping solutions really outshine – they combine advanced infrastructure, automation, and compliance skills to extract clean, verified, usable data that businesses can actually trust to use.
Dealing with Complex Website Technology
Modern e-commerce sites utilize complex technologies that load dynamic content through JavaScript, infinite scroll actions and protect their data through multiple security features. Basic scraping solutions will often fail against these challenges.
Professional scraping service providers such as 3i Data Scraping utilize advanced technology and techniques to deal with these challenges. They use headless browsers to render JavaScript, intelligent scrolling algorithms, and rotating IP addresses to ensure detection and consistent data is retrieved, among many others.
Scale and Speed
Competitive Intelligence efforts uncover thousands of products across potentially hundreds of competitors. Internal teams cannot scale internally to monitor such bandwidth of competitive intelligence.
Professional scraping solutions leverage widespread, distributed infrastructure and teams to compile millions of graphic and numeric data points, on a daily basis. Professional scraping implementations can process such amounts and deliver the output in formats easily consumable by business intelligence tools.
Data Quality and Precision
Data from web scraping is rarely pristine. There are often errors, mistakes, and inconsistencies, as well as a lack of formatting. Product names may have superfluous characters. Prices may be represented in myriad ways. Links to images may only point at placeholder graphics.
Quality data scraping services employ data cleansing pipelines during the scraping. They can standardize data formats, eliminate duplicates, validate accuracy, and mark errors. This allows companies the ability to make data-based decisions without being misled by worthless data.
Legal and Ethical Considerations
The web scraping profession exists in an environment rife with confusion in relation to legal compliance. From a general perspective, scraping publicly available data is legally permissible. However, companies must do so with respect to robots.txt files, terms of service, and many data protection laws.
Professionally managed companies such as 3i Data Scraping are who understand the legal improvements related to web scraping. They have established network acquisition, ethical web scraping methods that is aligned with their technical standards and will respect the website’s policy as well as the relative local compliance requirements. These actions will protect the scraping companies from unnecessary legal risks as well.
Implementing Competitive Intelligence Programs
Defining Intelligence Requirements
The best scraping initiatives start with well-defined objectives. Companies should consider which competitors to observe, which data points are most meaningful, and how often updates are necessary.
The frequency of updates for pricing intelligence can range from hourly for quickly changing categories to daily or weekly for product catalog monitoring. By articulating the intelligence needs, there can be a more efficient allocation of resources.
Choosing the Right Data Points
Data points from web scraping do not all provide equal value. Companies should be focused on specific metrics that will improve decision-making. Common data points from scraping are:
- Current prices and promotional pricing.
- Product availability and inventory levels.
- Shipping costs and delivery timelines.
- Customer ratings and review counts.
- Product specifications and features.
- Search results and category ranking
3i Data Scraping engages at the beginning to determine the most valuable data points within its competitive landscape.
Integration with Business Processes
Scraped data is only valuable when it links with business decision-making. Organizations will want to link outputs from scraping to pricing engines, inventory management tools, and business intelligence dashboards.
Modern scraping technologies start with seamless integration by offering APIs and data feeds. This automation means competitive intelligence is continually flowing within operational systems without any manual effort.
Transforming Raw Data to Actionable Insights
Unrefined data must be evaluated to be converted into purposeful knowledge. Companies need different systems to detect behavior differences, observe trends, and then establish alerts for critical situations.
For instance, a dashboard may note when, say, one of your competitors is planning large deals/promotions, when your most demanded items for a season become out of stock, or when prices are noticeably off the historical pattern. Companies are empowered to act with capability and timeliness with the knowledge, as opposed to reacting quickly.
The Real-World Impact on Business Results
Case Study: Fashion Retailer
A mid-sized fashion retail company engaged with 3i Data Scraping company in 2018 to monitor 15 of its competitors. The company scraped pricing, product launches, and promotional activity on 5,000 products.
Within three months, the fashion retailer identified that competitors were launching 48 hours before major holiday events. Equipped with this intelligence, the retailer made a calendar adjustment to launch their promotions 24 hours in advance. The retailer captured early holiday shoppers and increased holiday income by 23%.
In addition, the scraper program identified gaps in the competitors’ product assortments and products in the sustainable fashion category. As a result, the retailer increased its sustainable fashion product assortment, capturing market share from competitors and expanding an underserved industry.
Must read: How Price Scraping Increased Sales for an E-commerce Store
Case Study: Electronics Marketplace
An electronics marketplace engaged in web scraping to identify unauthorized sellers who were breaching their manufacturer’s agreement on minimum advertised pricing (“MAP”). Prior to setting up automated monitoring, they employed manual interventions that perhaps saw about 50 violations monthly.
After using the 3i Data Scraping, the first month of scraping the website resulted in the detection of over 300 violations. Brand relationship integrity and uninterrupted pricing integrity across all vendors were quickly protected through desired enforcement. Within six months, brand partners increased their product allocation by over 40%.
Core Challenges and Solutions
Anti-Scraping Technologies
Many websites provide technology to prevent automated data collection. Techniques used include CAPTCHA, IP blocking, rate limiting, and honeypot traps. Ongoing technical adjustments are needed to sustain reliable scraping functionality.
Professional scraping organizations continuously invest in countermeasures. They use residential proxy networks, do intelligent scramble request patterns to avoid bot detection, and implement machine learning techniques to use human-like behavior to mask their scraping. These all lead to uninterrupted collection.
Changing Website Structures
Websites undergo redesigns occasionally, which include modifications to their HTML structure. This alteration breaks the scraping scripts that rely on particular elements on the page. Consequently, any scraping solution would require maintenance and updates.
Reliable web data scraping service providers, like 3i Data Scraping, will routinely check the scrapers and update them as needed when websites are redesigned. Many also use artificial intelligence tools that automatically adjust to slight changes in structure.
Data Density Management
Full-scale competitive intelligence often will generate huge data volumes. Storing, processing, and analyzing extensive data will require a substantial infrastructure and efficient algorithms.
Cloud-based scraping solutions scale to the degree of data density. These types of solutions utilize efficient storage techniques and provide a method to query and analyze large datasets without hindering performance.
Future Trends in E-commerce Scraping
AI-Enhanced Analysis
Artificial intelligence changes raw scraped data into greater intelligence. Machine learning can predict competitor pricing, identify new product trends, and identify anomalies signaling market changes. Pending scraping solutions will enable multi-dimensional integration of AI into predictive intelligence and not just descriptive intelligence in raw data snapshots.
Visual Intelligence
In addition to textual data, image scraping and analysis provide even more intelligence. AI can assess product images to see if there are design trends, measure presentation quality, and even determine if product photography has been reproduced. 3i Data Scraping continues to develop image intelligence capabilities to work in tandem with traditional data scraping.
Real-Time Decision Automation
As data scraping and analysis become even faster, businesses will be able to automate more decisions. Pricing algorithms can change prices automatically based on competitor behavior. Inventory systems may prompt or automatically reorder inventory based upon a stock-out at a competitor, indicating demand for customers to reorder items. The evolution from intelligence to automation is the next iteration of competitive e-commerce.
Conclusion
Web scraping is now a critical infrastructure in support of competitive e-commerce enterprises. This is due to the fact that it supplies the market intelligence in real-time that is needed to compete effectively in such dynamic digital marketplaces. With scraping, e-commerce businesses are able to make data-driven decisions surrounding pricing strategy, product selection, review monitoring, and MAP compliance for every business function.
However, for scraping to be effective, it requires people with technical skills, legal knowledge, and operational experience. This is where professional service providers like 3i Data Scraping come in, as they facilitate the process for businesses that prefer to focus on strategy rather than technical implementation.
As e-commerce competition continues to ramp up, companies leveraging robust competitive intelligence will have clear advantages over companies relying on gut-feel or slow information. Companies not deploying web scraping as a program will fall progressively behind the competition in the industry. Therefore, web data scraping should be seen as a requirement of business infrastructure, not an optional technology.
It is no longer whether businesses should employ competitive intelligence scraping. Businesses should turn their attention to how quickly these capabilities can be deployed, but more importantly, how well this scraped data will lend itself to a competitive advantage.
For more details on 3i Data Scraping’s professional web data scraping services, contact us today!