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epctex

Industry

Logistics

Web scraping, data mining and analysis for logistics companies: get a complete picture of the market and run more efficient operations.

Delivery
Any format
First data
About 1 week
Engagement
Fully managed
Pricing
Quoted per project

How engagements work · delivery formats, timelines, pricing and compliance.

Overview

Data is changing the logistics industry. Companies use it to make operations more efficient, understand their customers, and decide where and how to allocate resources. Web scraping lets logistics businesses collect data from many sources and get a complete picture of what is happening in the market.

How epctex helps

  • Web scraping: collect data from websites, social media, and online forums.
  • Data mining: extract valuable insights from your data.
  • Data analysis: make sense of your data and use it to improve your operations.

Services

How we help logistics teams.

The services this industry relies on most.

Data & analytics

Web Scraping

Extract data from any website automatically, even behind anti-scraping protection. Pricing, reviews, leads and more, without manual work.

Data & analytics

Data Harvesting

Collect data from many sources and turn it into insight on products, pricing and customers. We automate the whole harvesting process for you.

Proof

Results from similar projects.

Case studies built on the same services.

All case studies
78%Increase in first reach to property owners

Real Estate

How do you find the hidden gems as a realtor before anyone else?

Traditional methods were falling short. Here's how a real estate agency with 30+ years of experience started finding the best properties before its competitors, without staff searching the web by hand.

  • Competitive Advantage
  • Market Intelligence
  • Web Scraping
  • RPA Development

How we work

From first call to data on schedule.

We handle the technicalities of data acquisition and automation, so you can focus on growing your business.

  1. 1$ scope

    Define project goals

    In a first consultation, we discuss your specific data needs and desired outcomes to make sure the project succeeds.

  2. 2$ sample

    Build a custom extraction

    We set up automated extractions tailored to your use case and send you a sample dataset before any full-scale collection.

  3. 3$ deliver

    Collect and deliver

    Once you approve the sample, we collect data at scale and deliver it within the agreed timeframe.

  4. 4$ monitor

    Maintain and manage

    Our team keeps every subsequent run healthy and makes sure your data arrives on schedule, with minimal disruption.