how to scrape product data from home depot website ?

Reasons for Scraping Home Depot Data

We are aware of the fact that the market is unpredictable. If you try to monitor the market trends continuously, all critical tasks will lag. But you can’t neglect the market trends to succeed. In such a situation scraping data is the best solution as it gives massive data in a short duration. If you look to know different trends in the home décor market and how Home Depot deals with them, scrape the website using iWeb Data Scraping. We scrape the website by setting the store location to Se Austin #6542 3600 Interstate Hwy 35 S

Scrape product from Home Depot website

to know what your competitors are doing. It becomes easy to follow the same or better strategies to attract customers. By scraping this data, you will analyze how the Home Depot website deals with the customers and what marketing strategies they follow. It will help you monitor your competitors and their strategies.

At iWeb Data Scraping, we help you scrape Home Depot website with following categories:

• Bath & Faucets
• Building Materials
• Hardware
• Heating & Cooling
• Kitchen & Kitchenware
• Lawn & Garden
• Outdoor Living
• Plumbing
• Tools

List of Data Fields

The following data fields are available from Home Depot Website

• category_1 (i.e. top level category)
• category_2 (i.e. the subcategory under the top level category)
• category_3 (if applicable)
• category_4 (if applicable)
• category_5 (if applicable)
• product_name
• brand
• model_number (e.g. 27013 - number at end of URL before the slash)
• product_id (e.g. 202826586 - number at end of URL after the slash)
• current_price (numeric/decimal - should not be a range)
• time_of_scrape
• product_url
• product_image_url

Benefits of Using Home Depot Scraper

• Competitive Pricing Data: Scraping data for prices is the best way to track your price point. It is helpful for those selling goods, homes, electronics, or other things on Home Depot. Analyzing which Home Depot prices are high or affordable will help you set your owing pricing strategy.
• Customer Feedback Data: Online reviews are the main thing customers verify about trusted brands or products. Reviews and ratings contain enormous data that is beneficial for any organization. Scraping customer reviews using e-commerce data scraping services can give innumerable data on customer sentiment, giving you knowledge about demanding and non-demanding products.
• Product Information: Scraping product data from Home Depot help you analyze which materials, physical attributes, dimensions, colors, etc., are more popular. In the case of furniture, the number of drawers or shelves, assembly information, style, etc., are highly prevalent.

Steps of Scraping Home Depot

First, we will create a Node.js project and introduce npm, serpapi, and dotenv to scrape product Home Depot data. Open the command line and enter.

$ npm init -y

Then

$ npm i serpapi dotenv

Next, we will add a ‘type’ field with the module’s value in the package.json file.

Code Explanation

First, we will import dotenv from the dotenv library, config, and getJson from the serpapi library.

1 import dotenv from "dotenv"; 
2 import { config, getJson } from "serpapi";

Next, we will then apply some config.

1 dotenv.config(); 
2 config.api_key = process.env.API_KEY; //your API key from serpapi.com

Then we write a search engine and mention the required search parameters to make a request.

Next, we declare the getResult function to get and return data from the page.

In this function, we found json with results and returned products_results from json

1 const json = await getJson(engine, params); 
2 return json.product_results;

Finally, we run the getResults function and print the received information using the method.

1 getResults().then((result) => console.dir(result, { depth: null }));

Output

Conclusion

Home Depot is a popular retailer of household goods, construction materials, tools, and other items. Scraping the website using a Home Depot Scraper for items, pricing, or customer reviews is an excellent option to make your brand popular.

For more information, get in touch with iWeb Data Scraping now! You can also reach us for all your web scraping service and mobile app data scraping requirements.