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BlogLearnThe 2025 Web Scraping Industry Report
LearnLeadership

The 2025 Web Scraping Industry Report

T

Theresia Tanzil

·

20 min read · December 25, 2024

The 2025 Web Scraping Industry Report: Surviving the Shifts

What Developers, Business Leaders, and Industry Players Need to Know to Thrive

Learn what works in web scraping for 2025

Learn how to navigate 2025’s data sourcing landscape—fill out the form to access the report in your inbox.

Introduction

It’s never been easier to start extracting data from the web. Our awareness and appetite for data have also never been greater. The AI boom has unleashed a firehose of natural language-enabled libraries, crawling tools, and parsing technologies, dramatically lowering the barrier to entry for web scraping to a wider range of users.

This democratization of tools and expertise drives down the cost of web data acquisition. Buying and getting web data is getting cheaper and easier—a benefit data buyers are now enjoying.

As a result, the total addressable market for web data extraction has massively grown and the web scraping space has become increasingly crowded. New players join a long-list of established names trying to get a slice of the pie and hustling to strategically position their intelligence-infused products in this bustling market.

Meanwhile, the number of companies offering web security technologies have doubled in the past two years, reflecting the growing demand as more websites ramp up their defenses against malicious bots engaging in unethical activities. This has added pressure for legitimate web scraping use cases for public data which often get unfairly caught up in these efforts.

Adding to this complexity is the growing scrutiny around the legality of web scraping. The rise of generative AI models trained on web data has brought issues of copyright and data ownership into mainstream focus. These tensions have sparked high-profile lawsuits and high-pressure tactics by big tech companies trying to build business moats on top of their user-generated content platforms.

In a nutshell, those are the market forces propelling the industry into 2025—the same dynamics, moving at an unprecedented pace.

Whether you’re managing a suite of web data extraction products, leading business strategies around web data utilization, or wrangling the data extraction code yourself, it can feel like an overwhelming torrent of developments vying for your attention.

In this report, we will highlight the ones that deserve your attention, and delve into each from an angle that is relevant to you.

Here is how we will break it down:

  • For developers, we'll explore how web scraping is becoming more accessible than ever, even as they tackle the growing challenges of scaling with web scraping APIs.

  • For industry players, we’ll navigate the two main driving forces shaping the landscape: the opportunity that AI has unlocked, and the challenge of achieving and maintaining compliance.

  • For business leaders, we’ll dive into how the economics of buying data is catching up to building in-house solutions and how you can make the most out of it to benefit your data strategy.

For each, we’ll go through:

  • The key shifts and what they mean for you

  • Risks to watch out for

  • Tips and recommendations

Here at Zyte we have observed and contributed to the evolution of the  web scraping ecosystem since 2010. We don’t pretend to have all the answers, but we can share what we see and what worked for us.

Table of Contents

Chapter 1 - For Developers

  • For the Developers: Scraping is Easy. Scaling (Still) Isn’t

  • What has Shifted?

    • 1. Low-Code and LLM-Powered Tools

    • 2. Scraping ≠ Scaling

      • The Case for Unscalable Scraping
    • 3. Increasing Investment in Anti-bot Technology

      • The Great Wall of Mobile

      • Run, Mouse, Run

      • Are You Human?

  • A Word on Productivity in the Age of AI

    • The Rise of APIs in Web Scraping
  • What to Watch Out For

  • Things to Remember

Chapter 2 - For Industry Players

  • For the Industry Players: Aptitude and Attitude

  • What Has Shifted?

    • Aptitude: Artificial Intelligence

    • Attitude: Ethical and Compliant Web Data Extraction

      • First Step Toward Compliance
  • What about Market Trends?

    • Data for AI

    • Lead Generation and Job Listings

    • M&A and Consolidation

  • What to Watch Out For

    • 1. Jumping Blindfolded onto the AI Bandwagon

    • 2. The Wrong AI for the Wrong Problem

    • 3. Complacency for Those Currently Winning in The Scaling Game

  • Things to Remember

Chapter 3 - For Business Leaders

  • For Business Leaders: Buy or Build

  • What Has Shifted?

    • 1. Buying Data is Getting Cheaper and Easier

    • 2. What AI and LLMs Unlock for Data Projects

    • 3. Hybrid Models: Blending Open Source and Proprietary

  • So, Should You Build or Buy?

    • The Data Buying Journey

    • Buy or Build: A Quick Cheat Sheet

  • What to Watch Out For

  • A Word on Compliance

  • Things to Remember

Conclusion

In this article

  • The 2025 Web Scraping Industry Report: Surviving the Shifts
  • What Developers, Business Leaders, and Industry Players Need to Know to Thrive
  • Learn what works in web scraping for 2025
  • Introduction
  • Table of Contents
  • Chapter 1 - For Developers
  • Chapter 2 - For Industry Players
  • Chapter 3 - For Business Leaders
  • Conclusion

Other lessons

Learn Scrapy

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  • 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
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  • What is Data Parsing in Web Scraping?
  • Scrape Web Pages and Files Using Python, wget, and Zyte

Web Scraping How-to Videos

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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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