How to Scrape Price, Location, and Description of Items for Sale?

How to Scrape Price, Location, and Description of Items for Sale?

Oct 21, 2021, 9:31:50 AM Business

The price difference has been the typical tried-and-tested method to attract more customers as well as create brand loyalty. This approach has become successful considering that about 87% of Americans think that pricing is the key factor whereas making online purchase decisions. What’s more, 17% of them claim that they have compared the prices from more than two stores before doing a purchase successfully.

Although, in the current scenario, the intense competition between different e-commerce websites has branched beyond the pricing. This revolves around the product data that affects everything from sales strategies to inventory administration. The data collected from different resources equips with all artillery and arms needed to emerge winning from e-commerce wars.

Do you want to arm yourself using this data? Its answer is web scraping.

Web scraping provides you a great view of pricing data, prevailing trends, market conditions, strategies used by the competitors, as well as challenges faced. Consequently, you can place your product using all the given considerations that will provide you a one-sided benefit over others.

Let’s see how web data scraping can scrape products data from e-commerce websites, providing you a key start.

How Can Products Data Be Extracted From E-Commerce Websites On A Big Scale?

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For product data extraction on a big scale, you may implement the piece of code (named a ‘data scraper’), which requests any special product pages on the e-commerce site. In response, the site replies with a demanded web page.

When the page gets received, a scraper would parse the HTML codes as well as scrape applicable data from that. When the data scraping procedure gets completed, a tool finally changes data into a required format.

Now, as the data scraper is an auto program, this can repeat the procedure thousands of times on a big number of product pages, as well as across different e-commerce sites.

How Scraping Data From E-Commerce Websites Benefit Businesses?

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As you understand how to extract products data from e-commerce sites, you might be wondering what to do with that. Well, let’s go through some useful use cases:

1. Pricing Optimization

Pricing optimization, as well as comparison, continuously remain the main highlight of collected data by extracting e-commerce websites. Everybody from Amazon to eBay uses this feature for keeping an eye on the competition. This gathers data from different sources as well as presents that to a business owner that can analyze the price patterns as well as put a reasonable pricing tag on the products. This is an eminent fact that pricing optimization increases e-commerce store returns.

2. Top Quality Lead Generation

Business growth rests on the shoulders of efficient marketing. Although, for making marketing efforts, the business requires to produce leads. Web data scraping could collect higher data volumes that will consequently trigger lead generation. Using its surgical accuracy, it can produce lead data accurately and quickly. Also, this data would be in CSV formats that could be easily integrated or processed with the other tools.

3. Product Launching and Development

Whenever you pitch any new product on an e-commerce platform, you require to do market research as well as discover the demands for these products. There will be some questions, which you require to get answered. How will your competitors price the products? What type of deals will they provide? Is there any particular time for a year while the demands surge? Do they aim at a particular demographic?

On a deeper analysis about these sides, you can express a strategy, which is near-about seamless for said products without the need to run that past the trial-and-error technique. With this method, you can save a huge amount of time, which might have otherwise have got wasted in the research as well as analyzing a market.

4. Analyzing & Predicting Market Trends

At times, the market won’t be as black or white as selling the woolens in winters. E-Commerce is rapidly transforming and you have to continue with that.

When comes to confirming sales, timing will be everything. Extracting e-commerce websites as well as monitoring competitor products in many months could help offer insights on the particular market as well as product trends. Those data points could help you forecast the finest time to launch any product as well as at the most optimum prices. Competitive pricing, as well as in-season launches, would result in the magical recipe, which will increase sales.

Furthermore, depending on projected or prevailing market trends, you could efficiently manage the inventory and stock of the products.

How Retailgators Will Help E-Commerce Websites In Scraping Products Data As Well As Overcome Different Challenges?

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Provided the challenges given to data scraping, extracting as well as leveraging data from different e-commerce websites might look to be a frightening task. Although, with Retailgators, it’s easy to scrape products data from the e-commerce websites according to your requirements!

Retailgators helps you in the execution of different strategies for bypassing anti-scraping mechanisms utilized by the websites as well as helps you scrape the required data. Some ways using which Retailgators finds anti-scraping tools like:

  • Getting updated with the website changes
  • Pre-detecting as well as avoiding traps
  • Sending requests with different intervals from various IP addresses
  • Using residential and rotating IP addresses
  • Utilizing Captcha solving services for bypassing captchas
  • Utilizing real user-agents

At Retailgators, we have specialized in data scraping as well as can assist you in capturing products data on a big scale. So, give Retailgators a try for your data scraping requirements!

Published by Retailgators

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