Get business web data your way
Build or buy the business location and directory data you need
Popular business directory data types and sources
Search engines and location apps
A small number of extremely deep and hard to scrape websites.
Search engines and other interactive apps are important sources of business and location data for many businesses.
Business directories, store finders and review websites
A broad set of highly varied websites, each with unique challenges
These websites come in all shapes and sizes and every website presents a unique combination of challenges:
- Anti-bot technology
- Browser automation needs
- Geo restriction
What data fields are typically extracted when scraping business data?
Reviews and ratings
Business social handles
Company filings data
Private or public status
Stock ticker symbol
Tax and regulatory information
The best way to collect web data about businesses
Don't reinvent the wheel
Chances are, we're already extracting data from your targeted business directory websites, providing the information you need in a standardized schema. This not only simplifies your workflow but also ensures significant time and cost savings.
Leverage Zyte API
Experience the power of Zyte API, designed to automatically navigate around bans in the most cost-effective manner. This saves you valuable time and resources at every stage of your business location data project.
Business location data comes in all shapes and sizes.
Parks and leisure
Banks and financial institutions
Agriculture and farming business
Public services and government buildings
Are you Enterprise Ready?
With over a decade of global leadership, Zyte has cultivated the expertise, processes, and technology necessary to ensure success in business location data scraping.
Our dedicated customer success managers collaborate with your team, providing top-tier advice and delivering superior web scraping results. We guarantee quality and performance with 24/7 monitoring and support.
How business location data fuels business growth
Resource and infrastructure planning and allocation analysis
Trends and prediction
Geospatial Analysis and GIS
Real estate Monitoring and analysis
Commercial property and investment analysis
Keep up-to-date with trends in web data extraction
Web Data 101: Planning for success with web data
Whitepaper / eBook
6 best practices for efficient web scraping
White Paper / eBook
Fueling real estate’s big data revolution with web scraping
Frequently asked questions
Is Zyte the same as Zyte?
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.