How-to-Find-Professional-Suppliers-at-AliExpress-Using-Web-Scraping-&-Cleansing

AliExpress is another eCommerce platform to grow the product-selling business. But it is great to collaborate with suppliers to succeed in the industry. Did you know how to find reliable suppliers to deliver products to your customers on the AliExpress platform?

There are multiple ways to find suitable suppliers on the platform, and e-commerce data scraping is one of them. In this post, let's find out how to discover these supplies using web scraping and cleansing.

We will explain the process with an example of a toy car with AliExpress data scraping, including products, suppliers, ratings, sold item count, and other data from the AliExpress platform. Then, we will use QuickTable to filter and clean the data according to your custom requirements for selected ratings and average prices of all suppliers.

Once you get the cleaned data from the platform, you can select the best supplier for your e-commerce business operations.

Why Scrape AliExpress Product Data?

There are over a hundred million products listed on the platform. You can find any product for your daily needs here, including clothes, mobile phones, surveillance devices, toys, and more. You can scrape e-commerce data, like supplier information, ratings, prices, and reviews, from Shopify or Amazon.

The e-commerce platform has unique features others don't have, to monitor product sales. You can find it valuable to find potential product suppliers, discover the latest trends in the market, and develop the market and product understanding.

Use Product Data Scrape for AliExpress Data Extraction

To scrape AliExpress product data, you can use our customized data scraping solution. Further, you can use our tool, which doesn't need code to collect e-commerce data from the AliExpress platform. If you are a newbie on our platform, you must create an account with the required credentials and sign in.

A: New Project Creation

Put the selected URL in the search option and tap the Start button. Then, the scraper will crawl the page in our built-in web browser within seconds.

You can use this type of URL to Scrape product data from AliExpress:

https://www.aliexpress.com/wholesale?catId=0&initiative_id=SB_20221122192506&SearchText=toy+car&spm=a2g0o.home.1000002.0&dida=y

New-Project-Creation

B: Select the Required Data From the Loaded Page

1. Click on the autodetect data webpage data option from the panel for Tips. Then our tool will check the entire page and display the data preview. The tool will highlight the discovered data from AliExpress in red color.

Select-the-Required-Data-From-the-Loaded-Page

2. Scroll to the bottom of the page to see the data preview. Here, we will keep column names such as product link, sold, price, supplier, and rating for future applications. You can discover the correct location of every data field after clicking on the data field name. Then, select the unwanted data and change the selected fields' names according to your preferences.

Note:

The approach of automatically detecting data is the prediction of required data. If you fail to get the required data using automatic detection, choose the data field manually with available guidelines on the panel for Tips.

C: Develop and Customize Data Scraping Workflow

Once you select the required data, you can click the Create Workflow button. Then, you'll see the created workflow in the sidebar on the screen. You can review it and make necessary changes to scrape AliExpress product data accurately without any disturbance.

D: Execute the Project and Download the Collected Data

After following the above steps, click the Run button to collect selected data. You have to finalize the server location to execute the project. The options are your device and a cloud server, with boost and standard modes. After selecting the mode and location of your choice, our tool will do the remaining job for you. After finishing the project, download the collected data in a CSV format.

Execute-the-Project-and-Download-the-Collected-Data

Cleanse, and Study Scraped AliExpress Data using QuickTable

Once you see the downloaded dataset file, you'll not find it suitable for your requirements. You'll need to remove unwanted data and clean it for further analysis. For cleaning the data, we'll use tools like QuickTable, which can clean the complex data at scale.

Clean Data

Step A: Import the dataset and set up a new task.

If you have not used QuickTable, create an account and log in with the required credentials. Then set up a new task, Toy Car Data Analysis from AliExpress, and import the dataset into the task log. Once you import the data, open the file and tap the Save Task option.

Step B: Keep the required columns and rename them

Delete unwanted columns and keep mgxne1, mgxne2, Title_URL, expam, ox0kz, etc. After filtering columns, rename them according to your choice.

Step C: Retrieve the Price Data

You might have observed the split in price columns improperly in your data file. It is due to the dot between price values on the official website. To modify these prices, utilize the Merge option from the QuickTable tool and merge two price columns to get the correct prices in the output column.

Retrieve-the-Price-Data

Step 4: Scrape Sold column to collect number values

If you observe the sold column again, you'll find the data in string data format; You can't directly use it for calculations. Hence you've to extract the numbers before doing any calculations. To extract number values to the new data column, use the Text->Substring->Extract number function. Later, select the initial column, and change the name of the latest column with the Sold name.

Study the Cleaned Data

You have filtered data. You can analyze it using numerical insights. You can observe an AliExpress supplier may sell multiple products. So, you will categorize them using Group By for categorization.

Do the necessary calculations refer to the screenshot to fetch the rating, average product price, and total product sold count? Click the Save button, and get the three-column output.

Study-the-Cleaned-Data

Now, you can select a suitable supplier for your products. You can consider the product prices of those suppliers, their average ratings, and sales generated. Further, You can review their reputation on the platform.

Conclusion

These are the steps to find suitable suppliers on the source platform AliExpress using our ecommerce scraping services and cleansing. You can follow them and find a reliable supplier to sell your product on AliExpress. Contact Product Data Scrape to learn more about our AliExpress data scraping services.

LATEST BLOG

Scraping Top-Selling Products from Tokopedia - A Problem-Solving Guide for E-commerce Sellers

Discover how Scraping Top-Selling Products from Tokopedia helps e-commerce sellers solve stock issues, track bestsellers, and boost profits with real-time insights.

Scrape Wine-Searcher Website for Alcohol Data to Monitor Global Wine Trends and Inventory

Scrape Wine-Searcher Website for Alcohol Data to track global wine trends, monitor inventory shifts, and gain real-time alcohol pricing insights for better decisions.

How Scrape Grocery Store Product Listings with Address & Price - Walmart, Aldi & Amazon Datasets

Scrape Grocery Store Product Listings with Address & Price to analyze Walmart, Aldi & Amazon grocery datasets for smarter pricing, local stock & market trends.

Case Studies

Discover our scraping success through detailed case studies across various industries and applications.

Why Product Data Scrape?

Why Choose Product Data Scrape for Retail Data Web Scraping?

Choose Product Data Scrape for Retail Data scraping to access accurate data, enhance decision-making, and boost your online sales strategy.

Reliable-Insights

Reliable Insights

With our Retail data scraping services, you gain reliable insights that empower you to make informed decisions based on accurate product data.

Data-Efficiency

Data Efficiency

We help you extract Retail Data product data efficiently, streamlining your processes to ensure timely access to crucial market information.

Market-Adaptation

Market Adaptation

By leveraging our Retail data scraping, you can quickly adapt to market changes, giving you a competitive edge with real-time analysis.

Price-Optimization

Price Optimization

Our Retail Data price monitoring tools enable you to stay competitive by adjusting prices dynamically, attracting customers while maximizing your profits effectively.

Competitive-Edge

Competitive Edge

With our competitor price tracking, you can analyze market positioning and adjust your strategies, responding effectively to competitor actions and pricing.

Feedback-Analysis

Feedback Analysis

Utilizing our Retail Data review scraping, you gain valuable customer insights that help you improve product offerings and enhance overall customer satisfaction.

Awards

Recipient of Top Industry Awards

clutch

92% of employees believe this is an excellent workplace.

crunchbase
Awards

Top Web Scraping Company USA

datarade
Awards

Top Data Scraping Company USA

goodfirms
Awards

Best Enterprise-Grade Web Company

sourcefroge
Awards

Leading Data Extraction Company

truefirms
Awards

Top Big Data Consulting Company

trustpilot
Awards

Best Company with Great Price!

webguru
Awards

Best Web Scraping Company

Process

How We Scrape E-Commerce Data?

Resource Hub: Explore the Latest Insights and Trends

The Resource Center offers up-to-date case studies, insightful blogs, detailed research reports, and engaging infographics to help you explore valuable insights and data-driven trends effectively.

Get in Touch

Scraping Top-Selling Products from Tokopedia - A Problem-Solving Guide for E-commerce Sellers

Discover how Scraping Top-Selling Products from Tokopedia helps e-commerce sellers solve stock issues, track bestsellers, and boost profits with real-time insights.

Scrape Wine-Searcher Website for Alcohol Data to Monitor Global Wine Trends and Inventory

Scrape Wine-Searcher Website for Alcohol Data to track global wine trends, monitor inventory shifts, and gain real-time alcohol pricing insights for better decisions.

How Scrape Grocery Store Product Listings with Address & Price - Walmart, Aldi & Amazon Datasets

Scrape Grocery Store Product Listings with Address & Price to analyze Walmart, Aldi & Amazon grocery datasets for smarter pricing, local stock & market trends.

Scraping Zara Website Data for Sale & Price Changes to Optimize Dynamic Pricing Strategies

Scraping Zara Website Data for Sale & Price Changes helps brands optimize dynamic pricing strategies, track discounts, and respond faster to global fashion price shifts.

Real-Time Grocery Price Monitoring For Zepto, Blinkit & BigBasket for Indian Startups

Learn how Real-Time Grocery Price Monitoring For Zepto, Blinkit & BigBasket empowers Indian startups to track pricing, adjust strategies, and grow profits fast.

Korean E-commerce Price Intelligence Data Scraping From Naver Website - Scraping Naver Shopping’s Aggregated Listings

Korean E-commerce Price Intelligence Data Scraping From Naver Website helps brands monitor prices, track trends, and analyze Naver Shopping’s aggregated listings easily.

Web Scraping Top Selling Grocery Product Data From Kroger for Real-Time Market Insights

Web Scraping Top Selling Grocery Product Data From Kroger enables real-time insights into pricing, trends, and demand.

Drive Growth in Fashion Tech with Real-Time Nordstrom Product Data Scraping API

Real-Time Nordstrom Product Data Scraping API delivers accurate, live product insights to power smart fashion decisions instantly.

Achieving Supply Chain Wins with Real-Time Stock Monitoring & Restock Alerts for Coupang, Naver, SSG.com

Real-Time Stock Monitoring & Restock Alerts for Coupang, Naver, SSG.com help brands track inventory levels, avoid stockouts, and plan smarter replenishments.

Web Scraping Total Wine & More Store Locations USA 2025 for Strategic Market Insights

Web Scraping Total Wine & More Store Locations USA 2025 reveals retail growth patterns and untapped market opportunities.

Unlocking Retail Insights by Web Scraping Grocery Prices from San Francisco Stores

Web Scraping Grocery Prices from San Francisco Stores enables real-time insights into pricing, trends, and retail competition.

Extract Grocery Retail Trends 2025 for Smarter Decision

Extract Grocery Retail Trends 2025 to uncover evolving consumer behavior, pricing shifts, digital adoption, and private label growth.

Grocery & Supermarket Data Scraping Services for Retail Insights

Boost retail strategy with Grocery & Supermarket Data Scraping Services to access pricing, product, and inventory insights.

Unlocking Grocery & FMCG Insights with Quick Commerce Price Data Scraping

Unlock Grocery & FMCG Insights with real-time data scraping for smarter pricing, inventory, and market trend decisions.

Exploring Web Scraping: Unlocking Insights for Businesses & Researchers

Exploring web scraping to uncover valuable insights that benefit businesses and researchers in various industries.

Extract ALDI’s 2025 for Key U.S. Grocery Market Trends

Extract key US grocery market trends from ALDI’s 2025 expansion strategy shaping the future of retail.

Inside U.S. Grocery Industry 2025: Trends, Strategies, and the Power of Data Scraping

Exploring the US Grocery Industry 2025 with key trends strategic insights and the impact of data scraping

Real-Time E-Commerce Web Scraping for Assessing Price Change Frequency

Real-Time E-Commerce Web Scraping for Assessing Price Change Frequency Across Amazon, eBay, and Walmart Platforms

Discover Best Buy’s Market Secrets Through Web Scraping

Unlock Best Buy’s market secrets with web scraping: track prices, reviews, and trends for strategic insights.

Sainsbury’s: Dominating UK Retail with Size, Growth, and Green Goals

Sainsbury’s leads UK retail with a vast store network, substantial revenue, and ambitious sustainability goals.

FAQs

E-Commerce Data Scraping FAQs

Our E-commerce data scraping FAQs provide clear answers to common questions, helping you understand the process and its benefits effectively.

E-commerce scraping services are automated solutions that gather product data from online retailers, providing businesses with valuable insights for decision-making and competitive analysis.

We use advanced web scraping tools to extract e-commerce product data, capturing essential information like prices, descriptions, and availability from multiple sources.

E-commerce data scraping involves collecting data from online platforms to analyze trends and gain insights, helping businesses improve strategies and optimize operations effectively.

E-commerce price monitoring tracks product prices across various platforms in real time, enabling businesses to adjust pricing strategies based on market conditions and competitor actions.

Let’s talk about your requirements

Let’s discuss your requirements in detail to ensure we meet your needs effectively and efficiently.

bg

Trusted by 1500+ Companies Across the Globe

decathlon
Mask-group
myntra
subway
Unilever
zomato

Send us a message