Boosting E-commerce Performance with Web Scraping and Data Analytics

E-commerce scraping

The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.

1000

manual work reduced

mln

pages processed daily

About the client

The dropshipping company specializing in home furniture deals with more than 130k orders monthly. The retailer (supplier) owns more than 1.5k local stores with varying prices on the same products.

Tech stack

Python

Pandas

PostqreSQL

Elasticsearch

GCP

The client's needs

Challenges & solutions

Challenge

Keep infrastructure charges below $1000 per month.

Automatize daily price relevance and stock availability monitoring for more than 100k products through the entire network(approximately 18 mln requests per day).

Reduce the amount of manual work and operational errors during updates and new products listings.

Solution

Developed a full monitoring process covered by custom scripts through distributed server architecture.

Challenge

Add cross-checks of the same products listed on Amazon, Walmart, Lowe’s, etc.

Create a system for monitoring all products available looking for ones with the biggest price variations.

Solution

Created a solution for controlling the system via web interface.

Challenge

Create a notification system that automatically notifies the admin about order problems, changes, delays and controls orders statuses and shipments.

Solution

Created an algorithm to monitor more than 60 mln pages daily.

6 employees were discharged saved 1000 hours of manual work monthly.

Challenge

Automatize cashback website tracking, adding an option to identify orders with no/incorrect cashback to avoid missed orders.

Solution

Improved customer experience. Reduced the number of canceled orders by 69%.

Challenge

Create daily reports with detailed statistics.

Automatize updates and new listings at the selling platform.

Solution

Tailor-made algorithm for the product's price arbitrage gave an additional positive impact by $50-70k per month.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

They always find cutting-edge solutions, and they help bring our ideas to life.

Jonathan Lien

CEO Advanced Clear Path, Inc., E-commerce Company

Steps of providing data scraping services

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs. At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

Success stories

Check out a few case studies that show why DATAFOREST will meet your business needs.

All Success Stories

Data parsing

We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.

14.8 mln

pages processed daily

43 sec

updates checking

Sebastian Torrealba

CEO, Co-Founder DeepIA, Software for the Digital Transformation

View case study

These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.

AI Forecasting That Saved $142M for Global Retailer

Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.

88%

forecasting accuracy

0.9%

out-of-stock reduced

Andrew M.

CEO Luxury Goods Retail

View case study

I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.

Supply chain dashboard

The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.

900h+

manual work reduced

100+

system integrations

Michelle Nguyen

Senior Supply Chain Transformation Manager Unilever, World’s Largest Consumer Goods Company

View case study

Their technical knowledge and skills offer great advantages. The entire team has been extremely professional.

AI Web Platform for Data-Driven E-commerce Decisions

Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.

3M+

total unique users

600M+