Businesses that count on news data love Zyte

Web data your way

Should you build or buy? Find the fastest route to quality data for you


Zyte API



0.8 /

10.000 requests

The most complete and advanced AI-powered web news scraping, anti-ban, and headless browser solution on the market.

The most cost-effective and powerful way for scraping articles and news data today.


Automatic Article Data Extraction API



6 /

10.000 requests

ML-powered news scraping API that automatically parses and converts article pages into structured data without any need for you to supply selectors or rules.

Ideal for websites where you need the standard information but don’t want to build rules-based news scrapers.

Data Buyer

Zyte Data





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

The fastest way to get rock-solid, reliable news, and article data.

All news and article data sources covered

Online news and media publications

Big news websites produce a high volume of content which is changing constantly. News scraping the text and images is important but we can also get you metadata, share counts, engagement, or sentiment. 

News scraping challenges include:
 - Dynamic content 
 - Anti-scraping measures 
 - Unusual page structure
 - Distracting irrelevant data
 - Frequent updates and corrections 

Specialized content websites

These websites are focused on providing in-depth and targeted information on specific topics or industries such as tech blogs, cooking forums, and fitness resources.

News scraping challenges include:
 - Non-standardized or domain-specific data types:
 - Custom formatting
 - Non-standard navigation and IA

User generated content

Social media frequently breaks news before mainstream media. Plus content creators on self-published blogs are where news and articles are consumed today.

Challenges include:
 - User Interaction and highly dynamic UI
 - Data volume
 - User privacy and GDPR compliance
 - Data variability
 - Data validity (wrong or misleading data)

Get inspired: See sample data

See examples of websites we regularly scrape news articles for our Zyte Data customers to get inspired.

Find the best way to access news and article data

Don't reinvent the wheel

We probably already extract data 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.

Use our web scraping API

The ultimate 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.

Articles and news data comes in all shapes and sizes. We get it all.

These are large organizations that have dominated the news world for many years. They include TV networks, newspapers, press releases, and radio stations that are widely recognized and trusted by the public.

These websites focus on specific industries or niches, providing news and information that is relevant to professionals in those fields.

These websites operate outside of the traditional, corporate-owned media landscape. They may provide alternative perspectives on news and events.

These web pages are created and run by individuals or groups, such as bloggers, vloggers, or podcasters.

These websites collect and curate crucial news data from various sources and present them to users in a single location.

These websites are dedicated to latest news articles and opinion, often with a specific focus or niche.

Video news websites provide news coverage through video content, which can be more difficult to collect and parse data from than text-based news

Social media platforms where journalists and publications source stories and where many brands self-publish and promote their content.

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.

How will you use news articles web data?

Brand monitoring & reputation management

Brand monitoring through web scraping involves tracking mentions of a brand online, analyzing sentiment, identifying trends, and mitigating reputational risks.

Market research

Gathering and analyzing data on consumer opinion, competitors, and industry trends to inform strategic decision-making and improve market positioning.

Content optimisation

Analyzing industry and competitor content, identifying keywords and trends, and adjusting your own content to improve SEO and engagement.

News aggregation

Collecting articles and news stories from multiple sources, curating them for your audience to keep users informed on current events.

Tackling misinformation

Identifying and tracking sources of false information, analyzing patterns and trends in their dissemination, to develop strategies to counteract misinformation.

Building AI models and algorithms

Turn the entire web into labeled training data for machine learning models, recommendation engines, and algorithms for better performance and accuracy.

Creating dashboards

Gather and analyze news data and present the information in a visually appealing and informative way to help media professionals and audiences understand trends and patterns in the industry.

Ad and affiliate tracking

Track advertising and affiliate campaigns, including ad placements and backlinks, to optimize ad spend and monitor compliance.

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


Social media and news data extraction: Here's how to do it right

Himanshi Bhatt
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Case Study

Debunk EU scrapes millions of news articles with Zyte

Sarah Lang
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White Paper / eBook

Fueling business intelligence with web scraped news data

Marie Moynihan
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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.