Data Scraping Services

Use Cases: How Data Scraping Can Be Useful for Your Business

Regardless of what industry you are in, we can retrieve data from any public source across the World Wide Web at every scale and convert it into actionable insights helping your organization grow faster. Here are examples of how data scraping services can be applied in several business verticals.

Stock Market & Financial Data Scraping

Equity research: getting stock market data such as a previous close, Bids & Ask, price fluctuations, market capitalization, etc.
Market sentiment analysis based on data from discussion forums, blogs, social networks, and other sources.
Risk compliance and mitigation through data extraction from resources of regulatory bodies - government, court websites, sanction lists, etc.

Artworks & Auction Data Scraping

Gathering data about artists and their artworks from the world’s largest art market databases.
Collecting and monitoring various real-time data like the description of lots, incoming bids, hammer prices, and premiums across auction houses.
Historical auction data scraping, including the comprehensive results of past events to let you know how artworks and artists have performed over time.

Blockchain Data Scraping

Monitoring cryptocurrency fluctuations to give you insights on what type of trend - upward or downward - dominates to help you pick the optimal time to invest.
Gathering data about organizations that accept cryptocurrency to let you act in the market more efficiently.
Extracting transaction data (sale, transfer, and more) to provide you with detailed information about the operations performed by market players: what items do they own, buy, and sell, how much do they spend, etc.
Scraping news and media coverage for tracking the latest happenings in blockchain for further usage in the sentiment analysis.

Market Research & Analytics Data Scraping

Getting reliable and accurate data on market trends and behaviors to boost the efficiency of your market research and forecasting activities.
Competitor data gathering and analysis to arm your market researchers with robust insights on competitors’ segmentation strategies, product line expansion, audience interests, etc.
Real-time and historical pricing data scraping to let you make well-founded decisions on how to best position products and services in the market.
Customer analysis to help you get a complete and unsophisticated overview of your target audience enriched with valuable consumer data.

Turn to Upsilon’s custom data scraping services

No matter what type of data scraping challenge you are coming up with. Upsilon will build and maintain the best-suited data extraction solution for you. Here are the reasons why businesses choose us as a reliable data scraping service provider:

We have proven web data scraping expertise in e-commerce, art, finance, digital marketing and other industries;
We guarantee 99% accuracy and consistency in data quality delivered in site scraping;
We use leading-edge scraping tools having multiple spiders to crawl websites and make sure fast turnaround times;
By leveraging different scripting languages, APIs and updated technologies, we scrape the data to provide you the best results in required formats.

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FAQ

What is data scraping?

Data scraping is the automated collection of data from websites, databases, enterprise applications, or legacy systems. With data scraping, vast arrays of information of different types — such as product reviews, contact information, social media posts, and web content — can be gathered for various business goals.

What are the formats of data output in data scraping?

What a company receives in the end always depends on its requirements. With the data science consulting and engineering services you can integrate a predictive model into an organization’s business apps, get a custom ML algorithm tailored to industry-specific business needs, a model producing useful, actionable and general insights in the form of reports, graphs, etc.The processed output can be presented by data scraping service companies in plenty of formats. Most widely applicable formats are:

.CSV (comma-delimited values);
.XML;
Excel (XLS);
.TXT;
.JSON;
MySQL;
MS-Access.

How much do the data web scraping services cost?

When you outsource web data scraping services, the final price may depend on several factors including:

Number of websites that have to be scrapped;
Number of records that have to be scrapped;
CAPTCHA verification presence;
IP Blocking presence;
Level of information beneath the data layers that need to be extracted;
Presence of HTML/ Flash/ JavaScript / Ajax, etc.;
Responsiveness of the website;
Website structure;

and more.

What Our Clients Say

Read how our expert teams support businesses from various industries on their paths to success.

Zhanar Serikpayeva

Creative Consultant, Etage Group

We needed help with mobile app development, data analytics, and beacon installation to be able to collect, store, and analyze our customer data. The finished application met the requirements perfectly, with the team finding an excellent solution to collect, analyze, and store customer data. They were highly professional throughout the work, always making themselves available, and responding well to any changes.

Kenny R. Lienhard

CTO, Medignition Inc

We wanted to implement a new education platform that offered online courses in finance. The scope focused on the implementation of multiple user interfaces. UpsilonIT used React, GraphQL, and GatsbyJS. UpsilonIT had strong coding skills. The app had a clean codebase and complied with all specifications. They complied with our requirements for the UI. We communicated daily via Slack.

Matt Wong

CTO, Civic Connect

Upsilon’s work was always on time and met all customer expectations. Their team had an ease of communication but what was the most impressive about them is the integrity and work ethic of each member. We had a business manager, a lead architect, and a mix of senior and regular engineers. The workflow was extremely effective - the teams had a regular cadence for communication.

Dmitry Tsybin

Director of Engineering, Carggo

Upsilon provided front- and backend development for an online logistics platform. The team designed and launched a business intelligence platform and ensured scalability according to customer requirements. We were most impressed by the technical background of the specialists, their meaningful approach to task accomplishment, and aspiration to deliver the results in due time. We’re also pleased with how fast the team started the development.

Data Scraping Services

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