PINGDOM_CHECK

#ExtractSummit2026 The world's largest web scraping conference returns. Austin Oct 7–8 · Dublin Nov 10–11.

Register now
Data Services
Pricing
Login
Try Zyte APIContact Sales
  • Unblocking and Extraction

    Zyte API

    The ultimate API for web scraping. Avoid website bans and access a headless browser or AI Parsing

    Ban Handling

    Headless Browser

    AI Extraction

    Enterprise

    DocumentationSupport

    Hosting and Deployment

    Scrapy Cloud

    Run, monitor, and control your Scrapy spiders however you want to.

    Coding Agent Add-Ons

    Agentic Web Data

    Plugins that give coding agents the context to build production Scrapy projects. Starts with Claude Code.

  • Data Services
  • Pricing
  • Blog

    Learn

    Case Studies

    Webinars

    Videos

    White Papers

    Join our Community
    Web scraping APIs vs proxies: A head-to-head comparison
    Blog Post
    The seven habits of highly effective data teams
    Blog Post
  • Product and E-commerce

    From e-commerce and online marketplaces

    Data for AI

    Collect and structure web data to feed AI

    Job Posting

    From job boards and recruitment websites

    Real Estate

    From Listings portals and specialist websites

    News and Article

    From online publishers and news websites

    Search

    Search engine results page data (SERP)

    Social Media

    From social media platforms online

  • Meet Zyte

    Our story, people and values

    Contact us

    Get in touch

    Support

    Knowledge base and raise support tickets

    Terms and Policies

    Accept our terms and policies

    Open Source

    Our open source projects and contributions

    Web Data Compliance

    Guidelines and resources for compliant web data collection

    Join the team building the future of web data
    We're Hiring
    Trust Center
    Security, compliance & certifications
Login
Try Zyte APIContact Sales

Zyte Developers

Coding tools & hacks straight to your inbox

Become part of the community and receive a bi-weekly dosage of all things code.

Join us
    • Zyte Data
    • News & Articles
    • Search
    • Social Media
    • Product
    • Data for AI
    • Job Posting
    • Real Estate
    • Zyte API - Ban Handling
    • Zyte API - Headless Browser
    • Zyte API - AI Extraction
    • Web Scraping Copilot
    • Zyte API Enterprise
    • Scrapy Cloud
    • Solution Overview
    • Blog
    • Webinars
    • Case Studies
    • White Papers
    • Documentation
    • Web Scraping Maturity Self-Assesment
    • Web Data compliance
    • Meet Zyte
    • Jobs
    • Terms and Policies
    • Trust Center
    • Support
    • Contact us
    • Pricing
    • Do not sell
    • Cookie settings
    • Sign up
    • Talk to us
    • Cost estimator
SEARCH ENGINE SCRAPING

Businesses that thrive on search engine data use Zyte

Buy data with Zyte DataBuild scrapers with Zyte API
Search Data Type

Web data your way - Build or Buy?

Find the fastest route to quality search engine scraper data for you

Developer

from

$

0.8 /

10.000 requests

The most complete and advanced AI-powered search engine scraper with anti-ban and headless browser solution.

Try freeSee tutorial
  • Automatically avoid search engines bans

  • Target search engine results by geography

  • Where required execute JavaScript or utilize pre-made actions

  • Integrate with Scrapy, the world’s most popular open-source scraping framework

Data Buyer

From

$

450

/month

Don’t waste time scraping the same e-commerce websites we already do on a regular basis.


The fastest way to get rock solid, reliable e-commerce product data.

Get in touch
  • Expert team of 100+ developers

  • Legal compliance built-in

  • 13Bn+ data points from the most popular websites every day

  • Designed for scale

  • Standard or customized data schemas available

*Set up costs not included.

Types of search results

Traditional search engine scraping

Extremely broad and deep search data from search engines
Search engine scraping can be difficult at scale.

Challenges include:
- Type of data
- Location
- Changing layouts
- Broken templates, selectors, and anti-ban solutions.

Zyte has the perfect products for scraping search results.

Emerging search content

Search isn’t just 10 blue links anymore
Within traditional search engine scraping, there are multiple sub-sets of search such as:


  • Image search

  • Video search

  • Product search

  • Social search

  • Vertical search engines

  • Travel search

  • Semantic search

  • News search


  • Music search

  • Academic search

  • Medical search

  • Torrent search

  • Recipe search

  • Job search

  • Government search


  • Blog search

  • Podcast search

  • Code search

  • Legal search

  • Real estate search

  • Patents search

  • Book search

  • Local search

Find the best way to collect web data from search engines

Don't reinvent the wheel

We probably already extract web data from search engines with our search engine result scraper from your target website and can offer the data you need in a standardized schema that will make your life easier and save you time and money.

Zyte Data

Use our web scraping API

Zyte API is the ultimate web search engine web scraping API, designed to automatically avoid bans in the most cost-effective way possible saving you time and money at every stage of your project.

Zyte API

How will you use search engine data?

Rank monitoring

Scraping search engines to see which websites rank in which positions in search engines for any given keyphrase by automating the process of performing a search and parsing the results to extract positions.

In-search results feature monitoring

Search engines show more than links to websites, often trying to answer questions and provide insights and suggestions. Using search engine scraping to access search engine data can be invaluable to businesses.

Search advertisement monitoring

Want to know who is advertising in search engines on specific keywords? Scraping search engines sponsored results section to track and understand the search advertising landscape.

Aggregating results pages across multiple search engines

By combining the search results from multiple sites you can build a more complete picture of a niche or industry.

Copyright detection and enforcement

As search engines index large amounts of content from the entire web, you can use search engine scrapers to help identify websites infringing on copyright using smart search parameters and filters.

Dynamic price monitoring

Given a product-related search phrase search engines often surface product pricing information from a variety of sellers. You can use that web scraping data to monitor pricing.

Relative price optimisation

Use web scraping to understand the relative prices of related products available through search engines, and/or monitor pricing for specific items in search engines.

Analyzing algorithms and suggestions

One way to test and understand other search engines algorithms is to observe the results they provide. From related product recommendation engines to related search suggestions, web scraping is one way to better understand what is driving popular search engines algorithm. 

Monitoring for new business locations

Major search engines provide an element of location-based search. You can use search engine scrapers as a way to find new businesses along with their related data.

Trend analysis on jobs and marketplaces

In fast-moving industries and marketplaces, search engines can be useful to help you build a picture of your business landscape and monitoring competitors - eg. Which cities are seeing the most growth in jobs available and increase in accommodation pricing?

Enterprise Ready

As the global leader for 12+ years, Zyte has developed the expertise, processes and technology that guarantees success for our clients. 

Our dedicated customer success managers partner with your team to ensure best-in-class advice and web scraping results - guaranteeing quality and performance with 24/7 monitoring and support.

Talk to us

Keep up-to-date with trends in web data extraction

Webinar

Himanshi Bhatt
< 1 mins
Read More

Case Study

Sarah Lang
< 1 Mins
Read More

White Paper / eBook

Kevin McKinless
< 1 Mins
Read More

Frequently asked questions

Is Zyte the same as Scrapinghub?

Different name. Same company. And with the same passion to deliver the world’s best data extraction service to our customers. We’ve changed our name to show that we’re about more than just web scraping tool. In a changing world Zyte is right at the cutting edge of delivering powerful, easy to use solutions that help our customers stay ahead in today’s fast-moving, data-driven world.

How will I receive my data, and in what format?

We offer many delivery types including FTP, SFTP, AWS S3, Google Cloud storage, email, Dropbox and Google Drive. Formats for delivery can be CSV, JSON, JSONLines or XML. We’ll work with you to determine what’s best for your project. And we’re always pleased to discuss other custom delivery or format requirements should you need them.

What data can you provide me?

We have the technical capability to extract any website data. However, there are legal considerations that must be adhered to with every project, including scraping behind a login as well as compliance with Terms and Conditions, privacy, and copyright laws. When you submit your project request our solution architects and legal team will pinpoint any potential concerns in extracting data from websites and ensure that we follow web scraping best practices.

How will you manage my data project?

After you’ve submitted your project request, a member of our solution architecture team will quickly get in touch to set up a project discovery call. They’ll explore your requirements of data extraction from websites in detail and gather the information they need, including:


  • What site[s] do you want to crawl?

  • What data do you need to extract?

  • What’s the scale of your scraping requirement?

  • Does your data need transformation?

  • What integrations are needed?


Once our architects know your requirements to extract data from webpages, they’ll propose the optimal solution - usually within a couple days - for your approval.

How do you ensure quality of the data?

We specialize in data extraction solutions for projects with mission critical business requirements. And that means our top priority is always delivering high quality accurate data to our clients. To achieve this we’ve implemented a four-layer Data Quality Assurance process that continuously monitors the health of our crawls and the quality of the extracted data. This reviews all your data to identify inconsistencies, inaccuracies or other abnormalities including manual, semi-automated and automated testing.

What support do you offer?

We offer all our customers no-cost support on coverage issues, missed deliveries and minor site changes. If there’s a larger website data extraction change that requires a complete spider overhaul this may incur an additional cost.

Can I try Zyte before buying?

Yes, if we have sample data available for the source you want to be scraped. If it’s a new source we haven’t crawled before we will share sample data with you following development kick-off. This occurs post purchasing. For product or news & article data, you can free trial our Automatic Extraction product via an easy-to-use user interface.
Talk to us about your requirements

How can Zyte help me extract website content?

Zyte’s Data Extraction services is an end-to-end solution that can help you with web content extraction. It’s the most hassle-free way to get clean structured data; quickly and accurately. But if you’re looking for a DIY option, Zyte offers web data extraction tools to make your job easier.

What is meant by data extraction?

Data extraction is described as the automated process of obtaining information from a source like a web page, document, file or image. This extracted information is typically stored and structured to allow further processing and analysis.
Extracting data from Internet websites - or a single web page - is often referred to as web scraping. This can be performed manually by a person cutting and pasting content from individual web pages. This is likely to be time-consuming and error-prone for all but the smallest projects.
Hence, data extracting is typically performed by some kind of data extractor - a software application that automatically fetches and extracts data from a web page (or a set of pages) and delivers this information in a neatly formatted structure. This is most likely a spreadsheet or some kind of machine-readable data exchange format such as JSON or XML. This extracted data can then be used for other purposes, either displayed to humans via some kind of user interface or processed by another program.

Why is data extraction important?

There’s a vast amount of information out there on the Internet. Extracting and aggregating data from public-domain websites and other digital sources - also known as web data scraping - can give you a significant business edge over your competitors.
Data extracting generates insights that can help companies analyze the performance of a particular product in the marketplace, track customer sentiments expressed in online reviews, monitor the health of your brand, generate leads, or compare price information across different marketplaces.
It also gives researchers a powerful tool to study the performance of financial markets and individual companies, guide investment decisions and shape new products.
There are many non-financial uses for data extraction, such as scraping news websites to monitor the quality and accuracy of stories or to monitor trends in reporting. It’s also used to obtain information from public institutions, for example, to track contract awards and hence investigate possible corruption.
Data extraction can significantly streamline the process of getting accurate information from other websites that your own organization needs to survive and thrive.

What is a data extraction example?

There’s a vast range of applications and use cases for website data scraping. One popular example where data extraction is widely used comes from the world of retail and e-commerce. It’s an invaluable tool for competitor price monitoring, allowing companies – and market researchers – to monitor the pricing of rivals’ products and services. Manually tracking competitors’ prices that may change on a daily basis isn’t practical - especially if you’re monitoring the pricing of hundreds or thousands of different products. A data scraping tool automates this process, scraping pricing data from e-marketplaces and competitors’ websites quickly and reliably.

Visit support center for more

G2.com

Capterra.com

Proxyway.com

EWDCI logoMost loved workplace certificateZyte rewardISO 27001 iconG2 rewardG2 rewardG2 reward

© Zyte Group Limited 2026