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BlogLearnLarge Scale Web Scraping Explained
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Large Scale Web Scraping Explained

J

John Campbell

·

4 min read · January 1, 2021

Large Scale Web Scraping

Web scraping can look deceptively easy when you’re starting out. There are numerous open-source libraries/frameworks, visual scraping tools, and data extraction tools that make it very easy to scrape data from a website. However, when you want to scrape websites at scale, things start to get very tricky, very fast.

Having a robust proxy management system in place is critical if you want to be able to reliably scrape the web at scale and target location-specific data. Without a healthy and well-managed proxy pool, your team will quickly find itself spending most of its time trying to manage proxies and will be unable to adequately scrape at scale.

Here are the 3 steps to future-proof your proxy management and make sure you can get your data, not just today but also in the future, long-term.

1. Traffic profile

You need to define the traffic profile first to determine the concrete needs of your project. What is a traffic profile?

It includes, first of all, the websites that you're trying to get data from. And also if there are any technical challenges needed to be solved, like JS rendering.

The traffic profile also includes the volume, meaning how many requests do you want to or need to make per hour or per day. Also, do you have any specific time window for the requests, like, for example, you want to make all your requests only during work hours, for some reason? Or is it okay to get the data at night, when there's significantly less traffic hitting the site?

Then the last thing in the traffic profile is geo-locations. Because sometimes the website displays different content depending on where you are. So you need to use proxies that are in that specific region you need.

So these three elements together make the traffic profile: websites, volume, and geo-locations. Now, with these, you can determine the exact proxy situation that you need a solution for.

2. Proxy pool

The next step to scale up is to get a proxy pool. Based on the traffic profile, now you can estimate

  1. How many proxies you will need
  2. Where those proxies should be located
  3. The type of the proxies (data center or residential)

You can get access to proxies directly from proxy providers, or through a proxy management solution as well. The drawback of getting proxies directly from providers -and not through a management solution - is that you need to do the managing yourself. There are a lot of things you need to look out for if you go with a provider that doesn’t provide management of proxies.

3. Proxy management

The final step is proxy management. Because it's not enough to have just a proxy pool. You also need to use proxies efficiently. For example, some features that our smart proxy rotating network has to manage proxies and maximize their value:

  • intelligent proxy rotation
  • automatic header management
  • geolocation based on your needs
  • maintaining sessions

Whether you're using Zyte Proxy Manager or creating your own proxy management solution there are some key points to focus on if you want long-term scalability.

Long-term scalability

First of all, make proxy management a priority. Because if you're extracting data at scale, most probably, you will not have issues with parsing HTML and writing the spider. But you WILL have issues with proxies. That's why it needs to be a priority.

Then, if you are managing your own proxies, it's important to keep the proxy pool clean and healthy. If you use a proper management service, it's not a problem, as that handles it for you.

Finally, my last point is to be nice and respectful to websites. Ultimately, it is a huge factor when scaling a web scraping project. You don't want to hit websites too hard and you need to make sure you follow the website's rules.

But again, if you're using a management tool, you will have a much easier time with proxies because everything is taken care of under the hood, you just need to send requests and extract the data.

Learn more about scaling your web scraping

Here at Zyte , we have been in the web scraping industry for 12 years. We have helped extract web data for more than 1,000 clients ranging from Government agencies and Fortune 100 companies to early-stage startups and individuals. During this time we gained a tremendous amount of experience and expertise in web data extraction. 

Here are some of our best resources if you want to deepen your web scraping and proxy management knowledge:

  • Webinar Series: Proxy Management Done Right
  • How To Scrape The Web Without Getting Blocked
  • How to use Crawlera with Scrapy
  • How To Scale Your Web Scraping With Proxies Webinar Registration
  • Proxy Management: Should I Build My Proxy Infrastructure In-House Or Use AN Off-The-Shelf Proxy Solution?

web scraping

smart proxy manager

FAQs

Why does web scraping become challenging at scale?

Managing proxies and targeting location-specific data reliably adds significant complexity.

What is a traffic profile in web scraping?

A traffic profile defines websites, request volume, time windows, and geo-locations to guide proxy and scraping strategies.

Why is a proxy pool necessary for web scraping at scale?

A proxy pool ensures adequate, location-specific proxies for handling high-volume requests efficiently.

What are the benefits of using a proxy management solution?

It automates tasks like proxy rotation, header management, and session handling, saving time and improving efficiency.

How can long-term scalability be achieved in web scraping?

Focus on robust proxy management, maintain a healthy proxy pool, and respect website rules to ensure sustainability.

In this article

  • 1. Traffic profile
  • 2. Proxy pool
  • 3. Proxy management
  • Long-term scalability
  • Learn more about scaling your web scraping
  • FAQs
  • Why does web scraping become challenging at scale?
  • What is a traffic profile in web scraping?
  • Why is a proxy pool necessary for web scraping at scale?
  • What are the benefits of using a proxy management solution?
  • How can long-term scalability be achieved in web scraping?

Other lessons

Learn Scrapy

  • Scrapy Tutorial Part 1: First Spider
  • Scrapy Tutorial Part 2: Page Objects
  • Scrapy Tutorial Part 3: Web Scraping CoPilot

What is web scraping?

  • What Is Web Scraping?
  • What are the elements of a web scraping project?
  • Python Web Scaping Tools & Libraries
  • How to architect a web scraping solution: The step-by-step guide
  • Web crawling vs web scraping
  • Is Web & Data Scraping Legally Allowed?
  • Compliant Web Scraping Checklist
  • Best practices for web scraping
  • A Guide to Web Scraping With Java
  • Transition from Zenrows to Zyte API
  • Guide to Web Scraping APIs
  • Screen Scraping Explained
  • Large Scale Web Scraping with Python
  • Large Scale Web Scraping with Python
  • Building a Web Crawler in Python
  • A Practical Guide to XML Parsing with Python
  • Learn How to Scrape a Website
  • Advanced Use Cases for Session Management
  • Golang Web Scraping in 2025
  • Web Scraping Dynamic Websites With Zyte API
  • What is Data Parsing in Web Scraping?
  • Scrape Web Pages and Files Using Python, wget, and Zyte

Web Scraping How-to Videos

  • Web scraping videos

SERP Data Collection at Scale

  • SERP data collection at scale and why efficiency matters
  • Why Page One SERP data is no longer enough
  • Why pagination logic becomes operational debt
  • Why SERP data costs exploded

What is web scraping used for?

  • What is web scraping used for?
  • Pricing Intelligence Web Scraping
  • Web Scraping For Market Research
  • Use web scraping to build a data-driven product
  • Use web scraping for alternative data for finance
  • Use web scraping for brand monitoring
  • Use web scraping to automate MAP compliance
  • Web Scraping For Lead Generation
  • Web Scraping For Recruitment
  • Use web scraping for business automation
  • Using Data Extraction Tools for Efficient Website Scraping
  • Why Might a Business Use Web Scraping to Collect Data?
  • How to Scrape Images from Any Website: A Complete Guide
  • How to Scrape Search Engine Results

The New Guide to Web Scraping at Scale

  • Introduction
  • 1. A plan is a pathway to success
  • 2. Get serious about legal compliance
  • 3. The quality of your web data is of utmost importance
  • 4. Scaling and maintaining crawling and extracting solutions
  • 5. Adding AI to the web scraping stack
  • 6. The In-house vs outsourced question
  • 7. Questions to ask when scaling web scraping

Essential Web Scraping Techniques

  • TLS Fingerprint and how it blocks requests
  • How to scrape with a browser effectively
  • API First data extraction

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