With millions of online retailers (businesses that sell products via online platforms) in different parts of the world, eCommerce is rife with competition.
In this sea of online stores competing for the same pool of consumers, differentiation is quite important. And data provides a robust foundation against which to make informed business decisions on, among other things, differentiation and how to stay ahead of the competition.
This is where e-commerce scraping carried out using an e-commerce scraper comes in.
What is E-commerce Scraping?
As a subset of web scraping, which refers to the process of automatically extracting data from websites, e-commerce scraping is mainly concerned with retrieving data from online commerce websites. To retrieve this data, online retailers use bots known as e-commerce scrapers.
The bots extract different datasets from e-commerce websites. These include:
- Product name and description
- Number of competitors
- Customer reviews
- Product optimization data (search engine optimization)
- Contact information
Benefits of E-commerce Scraping
The various datasets extracted from e-commerce websites individually and collectively offer numerous advantages. The benefits of using a something like an Amazon to eBay data scraping tool for e-commerce scraping, therefore, include:
- Competitor monitoring: e-commerce scraping provides insights on the brands/companies behind each product. This way, you can identify who your competitors are.
- Price monitoring: e-commerce scraping enables you to compare the prices of competing products, thereby allowing you to come up with a competitive pricing strategy
- Customer insights: by collecting customer review data, you can establish their likes and dislikes. In this regard, you can come up with a product that solves the problems raised or a marketing campaign that directs them to your products, especially if they include the features your competitors do not offer
- Product optimization: e-commerce sites display products according to how optimized they are for a given keyword. By using an e-commerce scraper, you can collect data on the best keywords to use, keyword density, meta descriptions, and more.
- Lead generation: extracting contact information provides the details needed to initiate communication that may lead to conversions.
- Better marketing and advertising: e-commerce scraping offers important data that you can use to create better and more targeted marketing campaigns.
Related Resource: What Is Not A Benefit Of Google Analytics Remarketing?
Even though e-commerce scraping is beneficial in many ways, it is not without challenges.
Challenges of E-Commerce Scraping
The owners of e-commerce websites implement certain features and capabilities that hamper effective web scraping.
It is worth noting that though some of these features are mainly intended to improve the user experience for human users, they are not bot-friendly.
They, therefore, end up affecting e-commerce scraping. The challenges of e-commerce scraping include:
- Anti-scraping techniques such as IP blocking, CAPTCHAs, sign-in and log-in requirements, headers, and cookies
- Dynamically changing content
- Complex web page structures
- E-commerce sites store large volumes of data, which requires large-scale data extraction
- In some cases, the data collected may be of low quality in that it may not be relevant to the use case for which a retailer intended, or it may be incomplete
Fortunately, you can deal with these challenges, in effect boosting your e-commerce scraping.
3 Reliable Ways to Boost Your E-Commerce Scraping
You can reliably boost your e-commerce scraping experience by:
- Using an e-commerce scraper from a reputable service provider
- Using proxy servers
- Enhancing data quality
It is noteworthy that a dedicated e-commerce scraper from a reputable provider combines these three elements creating a powerful and reliable web scraping tool.
1. E-commerce Scraper
The success of any data extraction exercise depends on how well the e-commerce scraper you use is designed.
Thus, choosing a bot created by a reputable service provider is one of the ways to ensure success.
Such an e-commerce scraper will be equipped to navigate complex website structures and dynamically changing content, as well as bypass anti-scraping measures. If these are the qualities you’re looking for in a scraper, take your pick here.
2. Proxy Servers
A proxy server is an intermediary that masks your computer’s original IP address and assigns it a new online identity.
For e-commerce scraping, it is advisable to choose a rotating proxy server. This type changes the IP address after a predefined period ensuring that a single address is not responsible for numerous web requests.
In doing so, the proxy servers help prevent IP blocking. You can also use them to bypass geo-restrictions.
3. Enhancing Data Quality
You can enhance the quality of the data collected by using:
- Automated data monitoring system to identify errors and inconsistencies in the data
- Reliable and powerful servers to ensure the data collection runs smoothly throughout, thereby ensuring the data is evermore complete
- Data parsing: this process cleans up the data by converting unstructured data to a structured format that does not have irrelevant and unnecessary elements HTML or XML tags
E-commerce scraping is a surefire way to stay ahead of the competition. It entails collecting crucial data on pricing, competing products, customer feedback, contact details, and more. Using a reliable e-commerce scraper from a reputable provider guarantees successful e-commerce scraping. This choice enables you to overcome the challenges of scraping data from online retail platforms.