Logistics Web Scraping

unpack the value of logistic data

Scraping logistics data can be your gateway into optimizing your supply chain, understanding market trends and monitoring your competitors.

Here's our overview based on years of crawling logistics websites.

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Logistics crawling visualization

Logistics Data Use Cases

top reasons to crawl logistics websites

Logistics operations rely on accurate, real-time data to function efficiently. Web scraping provides businesses with the tools to monitor freight rates, track shipments, and manage container activity across the supply chain.

Platforms like Maersk, UPS, and Interasia offer valuable logistics data that can be scraped to optimize costs, improve transparency, and plan better.

By leveraging web scraping, logistics professionals can stay proactive and data-driven in managing their operations effectively.

Some real-life scenarios by Scrapfly users

Freight rate monitoring is essential for optimizing logistics costs. Scraping platforms like Maersk and Hapag-Lloyd provides real-time freight rate data for various routes and container types.

Compare rates across multiple shipping companies and track fluctuations over time to negotiate better deals or forecast shipping expenses.

Freight rate monitoring through web scraping empowers businesses to make cost-effective decisions in their supply chain.

Real-time shipment tracking is vital for ensuring timely deliveries and transparency. Scraping platforms like UPS , DHL , and FedEx enables tracking shipments from dispatch to delivery.

Collect tracking statuses, location updates, and estimated delivery times to provide accurate information to stakeholders or customers.

Shipment tracking via web scraping ensures operational efficiency and enhances customer satisfaction.

Monitoring port and container activity provides valuable insights for logistics planning. Scraping platforms like Interasia and terminal operators' websites helps track container statuses, port congestion, and estimated handling times.

Identify delays, assess port performance, and optimize container allocation to reduce lead times and manage inventory better.

Port and container monitoring through web scraping helps businesses stay proactive in addressing logistics challenges.

Beyond specific use cases, web scraping supports a range of logistics applications. Platforms like Google allow collecting market intelligence on emerging logistics trends or regional shipping regulations.

Other applications include scraping vehicle or fleet data from delivery companies or monitoring competitor shipping practices to gain a competitive edge.

Web scraping for logistics offers a comprehensive solution for data-driven decision-making in supply chain management.

Top Logistics Scraping Targets

the most scraped logistics targets today

Web Scraping Dhl.com

DHL.com is a world-renowned provider of international courier and logistics services, offering real-time shipment tracking, delivery schedules, and logistics data. It is a critical platform for global trade and e-commerce businesses.

See a Code Example

Web Scraping Fedex.com

FedEx.com is a leading provider of package delivery and logistics services, known for its detailed tracking systems, shipping solutions, and logistics insights. It is widely used by businesses for efficient supply chain management.

See a Code Example

Web Scraping Hapag-Lloyd.com

Hapag-Lloyd.com is one of the largest container shipping companies, providing services for global trade. It offers detailed shipping schedules, container tracking, and logistics data essential for supply chain management.

See a Code Example

Web Scraping Interasia.cc

InterAsia.cc is a key player in the Asian shipping and logistics sector, offering comprehensive container shipping solutions and logistics data. It is a valuable resource for businesses involved in regional and global trade.

See a Code Example

Web Scraping Maersk.com

Maersk.com is a leading provider of integrated logistics and container shipping services, offering global trade solutions and detailed shipping data. It is a valuable source for tracking shipments, container schedules, and port activities.

See a Code Example

Web Scraping Ups.com

UPS.com is a global leader in package delivery and supply chain logistics, offering tools for tracking shipments, managing logistics, and accessing delivery data. It is a key resource for businesses optimizing their shipping operations.

See a Code Example

Logistics Data Made Easy

don't let the complexities of logistics data hold your business back 

from scrapfly import ScrapeConfig, ScrapflyClient, ScrapeApiResponse

client = ScrapflyClient(key="API KEY")

api_response: ScrapeApiResponse = client.scrape(
  ScrapeConfig(
    # add page to scrape
    url='https://www.maersk.com/tracking/285314315',
    asp=True,  # enable bypass anti-scraping protection
    render_js=True,  # enable headless browser if necessary
    # use LLM to extract data
    extraction_prompt='extract all tracking updates with date and location in JSON format' 
  )
)
# use AI extracted data
print(api_response.scrape_result['extracted_data']['data'])
# or parse the html yourself 
print(api_response.scrape_result.content)
.py .ts .http 
import { 
    ScrapflyClient, ScrapeConfig 
} from 'jsr:@scrapfly/scrapfly-sdk';

const client = new ScrapflyClient({ key: "API KEY" });

let api_response = await client.scrape(
    new ScrapeConfig({
        // add scrape url
        url: 'https://www.maersk.com/tracking/285314315',
        asp: true, // enable bypass anti-scraping protection
        render_js: true,  // enable headless browser if necessary
        // use AI to extract data
        extraction_prompt: 'extract all tracking updates with date and location in JSON format' 
    })
);
// use AI extracted data
console.log(api_response.result['extracted_data']['data'])
// or parse the HTML yourself
console.log(api_response.result['content'])
.py .ts .http 
http https://api.scrapfly.io/scrape \
key==$SCRAPFLY_KEY \
url==https://www.maersk.com/tracking/285314315 \
asp==true \
render_js==true \
country==US \
"extraction_prompt=extract all tracking updates with date and location in JSON format"
.py .ts .http
Output
1

Send an API Request

bypass any blocking and use a real web browser
2

Get Data & Screenshots

get html, browser data and page screenshots
3

Extract Value with AI & LLM

use LLM prompts and AI auto parsers to find data
Web Scraping API Web Scraping API

Web Scraping API

Screenshot API Screenshot API

Extraction API

Screenshot API Screenshot API

Screenshot API

Web Scraping API

Web Scraping API

Unlock the Real Power of Web Scraping

Power through scraping challenges using intelligent tools that save time and maximize results with the best success rate and cutting-edge features

  • Automatic Anti-Bot Bypass

    Bypass any anti scraper systems and automatically resolve javascript and fingerprint challenges.

    START SCRAPING
  • Proxy Rotation — Millions of Proxies

    Automatically rotate proxies from datacenter or residential pools of 130M+ proxies from 120+ countries.

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  • Get Data in the Formats You Need

    Get results in data formats that suit you - html, markdown, json and many other are automatically converted.

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  • Render Javascript and Control Real Web Browsers

    Use cloud browsers to render javascript powered pages and even control them to click buttons, input forms and perform general automation tasks.

    START SCRAPING
Extraction API

Extraction API

Realize the Potential of Your Data

Maximize your efficiency with an AI-powered extraction process designed to save you time. Effortlessly extract data with AI, LLMs, and customizable templates

  • Automatically Extract Data with AI Precision

    Use the AI auto extract feature to automatically find data objects like products, reviews, property listings and other common data types.

    START EXTRACTING
  • LLM Query Your Data

    Use data parsing optimized LLM models to interact with your data or extract structured results.

    START EXTRACTING
  • Create Your Own Extraction Rules
    Customize your own extraction rules to extract exactly the data you need and clean-up with our built-in processors. START EXTRACTING
Screenshot API

Screenshot API

Effortlessly Capture the Visual Web

Capture web page screenshots effortlessly using real browsers optimized for screenshots

  • Automatically Bypass Blocking

    Automatically bypass content and bot blocks for uninterrupted screenshot capture.

    START CAPTURING
  • Capture Any Area

    Capture everything from selected areas to full pages with automatic scrolling.

    START CAPTURING
  • Block Banners & Ads

    Block cookie popups, ads and have complete control of the browser.

    START CAPTURING

Seamlessly Integrate with Frameworks & Platforms

Easily integrate Scrapfly with your favorite tools and platforms, or customize workflows with our Python and TypeScript SDKs.

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Zapier

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Make

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N8N
Automate workflows with no-code platforms
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LlamaIndex

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LangChain
Build LLM and RAG Applications
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Explore More Integrations

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Python SDK

First class Python package integration icon

Typescript SDK

Access in NodeJS, Deno, Bun integration icon

Scrapy SDK

Full feature Scrapy extension

Frequently Asked Questions

How to unblock access to logistics websites?

While scraping logistics websites is legal, some websites may block access to their data if they can detect robot-like behavior. For this, you can fortify your scrapers against identification yourself using tools and techniques covered in our blog here or you can leave it to Web Scraping API to handle it for you!

Is web scraping logistics websites legal?

Yes, generally web scraping publicly visible data is legal in most places around the world. For more see our in-depth web scraping laws article.

What types of logistics data can be scraped?

Logistics websites offer a wide range of data that can be scraped, including shipment tracking, freight rates, container schedules, port activities, and logistics insights. All of this data is freely available and can be used to optimize supply chain operations and make informed decisions.

How to extract data from scraped logistics pages?

Logistic pages are usually quite simple to parse so traditional HTML tools can do a good job. However, modern pages can be quite complex and dynamic and using a AI engine (like Extraction API ) can help you extract entire datasets with a single parsing technique.

What is a Web Scraping API?

Web Scraping API is a service that abstracts away the complexities and challenges of web scraping and data extraction. This allows developers to focus on creating software rather than dealing with issues like web scraping blocking and other data access challenges.

How can I access Web Scraping API?

Web Scraping API can be accessed in any http client like curl, httpie or any http client library in any programming language. For first-class support we offer Python and Typescript SDKs.

Are Proxies enough to scrape logistics data?

No, most modern logistics websites like maersk, hapag-lloyd can identify proxies and blocking access to their public data. To bypass logistics blocking you'll need to use combination of new bypass tools and techniques or defer these steps to a service like Web Scraping API .