The applications of data collection using automated technologies such as web scraping is on the rise. We've compiled a list of sources from where you can collect reliable data for your business.
Web Scraping reveals top tech trends and company’s media mentions in 2017PromptCloud
To understand the tech landscape and its coverage in 2017, we deployed our in-house web crawler to extract the article titles from two popular outlets and performed text mining on the dataset to uncover the top buzzwords, companies and products.
What Does 2018 Have In Store For The Big Data IndustryPromptCloud
Since data is growing in size along with its variety of applications and business use cases, the coming years are definitely going to be eventful in the big data space. Here are some of the trends that we are likely to see in big data during 2018.
Dark Data Revelation and its Potential BenefitsPromptCloud
This presentation covers benefits, use cases, practical examples, potential issues and the approach that needs to be taken when it comes to harnessing the power of dark data (a largely untapped strategic play in the big data realm).
The Emergence of Alt-Data and its ApplicationsPromptCloud
Alternative data is information gathered from non-traditional information sources. Analysis of this data can provide insights beyond that which an industry’s regular data sources are capable of providing. Here is all you should know about alt-data.
Check out how big data is proving invaluable to finance. Here is the top 10 big data trends in finance. Big data place a vital role in analysing the feeds, Predictive models, forecasts & assess trading impacts
Leveraging Service Computing and Big Data Analytics for E-CommerceKarthikeyan Umapathy
Panel discussions on Leveraging Service Computing and Big Data Analytics for E-Commerce at the Workshop on e-Business (WeB) 2015 held on December 12, 2015 at Fort Worth, Texas, USA.
Web Scraping reveals top tech trends and company’s media mentions in 2017PromptCloud
To understand the tech landscape and its coverage in 2017, we deployed our in-house web crawler to extract the article titles from two popular outlets and performed text mining on the dataset to uncover the top buzzwords, companies and products.
What Does 2018 Have In Store For The Big Data IndustryPromptCloud
Since data is growing in size along with its variety of applications and business use cases, the coming years are definitely going to be eventful in the big data space. Here are some of the trends that we are likely to see in big data during 2018.
Dark Data Revelation and its Potential BenefitsPromptCloud
This presentation covers benefits, use cases, practical examples, potential issues and the approach that needs to be taken when it comes to harnessing the power of dark data (a largely untapped strategic play in the big data realm).
The Emergence of Alt-Data and its ApplicationsPromptCloud
Alternative data is information gathered from non-traditional information sources. Analysis of this data can provide insights beyond that which an industry’s regular data sources are capable of providing. Here is all you should know about alt-data.
Check out how big data is proving invaluable to finance. Here is the top 10 big data trends in finance. Big data place a vital role in analysing the feeds, Predictive models, forecasts & assess trading impacts
Leveraging Service Computing and Big Data Analytics for E-CommerceKarthikeyan Umapathy
Panel discussions on Leveraging Service Computing and Big Data Analytics for E-Commerce at the Workshop on e-Business (WeB) 2015 held on December 12, 2015 at Fort Worth, Texas, USA.
How to identify the Return on Investment of Big Data / CIO (Infographic)suparupaa
The Identification of the ROI of Big Data is Pending on the Democratization of the Business Insights Coming from Advanced and Predictive Analytics of that Information
Using Big Data in Finance by Jonah EnglerJonah Engler
How can you utilize Big Data in the Financial Industry? To leverage Big Data - entrepreneur and finance expert Jonah Engler, has put together this presentation to help the slideshare community understand the value - and HOW TO - use big data in the financial campaigns.
Jonah Engler is a financial expert and stock broker based in NYC. Leveraging his experience in finance, Engler has gone on to have success in the franchise, coffee, startup industries and more. To connect with Jonah - checkout his profile on LinkedIn: https://www.linkedin.com/in/jonahengler
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
Driving the future of big data | PromptCloudPromptCloud
The Big data & Machine Learning emerge as crucial technological assets of the future. Scare over data-driven artificial intelligence replacing human creativity.
From Automation System to Hyperconvergence - The Top Data Center Trends in Re...Comarch_Services
The beginning of 2016 was a promising period for data centers, filled with new drivers such as the power of Big Data and
new capabilities for analysis. What were the major trends in the data center industry during 2016? We try to identify and dive
a bit deeper into top data center issues and the technologies that have had the most significant impact on the sector in 2016.
As the year comes to an end, it is time to look ahead to see what the next year will bring us. Now for the 7th year in a row, I offer you my two cents on the most important technology trends for 2019 to help you, and your business, prepare for the next year. As we approach the end of the second decade of this new millennium, technology is evolving faster than ever before. These exponential times will have a profound effect on what it means to be human and how we manage organisations and societies. 2019 will be a year in which technology will improve its grip on society and where competition among countries over AI and quantum supremacy will increase. That is why I would like to call 2019 the Year of Truth. Let’s have a look at the seven technology trends that will dominate 2019.
Top Web Scraping Service Provider For The Retail Dataretailgators
We provide the best web scraping services worldwide and stay at the top for offering personalized analysis and web scraping solutions for all types and sizes of businesses.
Aslapr market research for entrepreneurs mg irc presentation 09 22-14Mark Goldstein
See latest version (11/19/14) at http://www.slideshare.net/markgirc/ahwatukee-co-c-market-research-for-entrepreneurs-mg-irc-presentation-111914
Mark Goldstein of International Research Center presented an updated version of his Market Research for Entrepreneurs presentation at the Arizona State Libraries, Archives & Public Records (ASLAPR) on Monday, September 22, 2014 in Phoenix, AZ. It focused on easy, low-cost ways to evaluate your target market, identify emerging trends, and anticipate competition.
Ahwatukee CoC Market Research for Entrepreneurs Presentation 11_19_14Mark Goldstein
Mark Goldstein of International Research Center presented an updated version of his Market Research for Entrepreneurs presentation to the Ahwatukee Chamber of Commerce on Wednesday, November 19, 2014 in Phoenix, AZ. It focused on easy, low-cost ways to evaluate your target market, identify emerging trends, and anticipate competition and covered market research vs. business intelligence, identifying your value chain and influencers, Internet searching tips & tricks, the deep web and dark web, industrial-strength databases, data analysis & actionable intelligence, dashboards for real-time monitoring, the advent & implications of big data, the developing Internet of Things, social media strategies & metrics, and venture capital/crowdfunding sources.
6 great competitive intelligence data sourcesMartin Brunet
Gathering more data for your competitive intelligence (CI) will allow you to have the best picture of your company’s performance as well as having the ability to predict the directions that your competitors are headed in.
What Is The Best Tool To Scrape LinkedIn Businesses Data.pdfAqsaBatool21
LinkedIn Company Scraper is a cutting-edge web scraping tool that harnesses the vast data available on LinkedIn to provide users with detailed company information. This tool automates the process of data extraction, allowing users to access vital information about businesses, such as company size, industry, location, and even employee profiles.
How to identify the Return on Investment of Big Data / CIO (Infographic)suparupaa
The Identification of the ROI of Big Data is Pending on the Democratization of the Business Insights Coming from Advanced and Predictive Analytics of that Information
Using Big Data in Finance by Jonah EnglerJonah Engler
How can you utilize Big Data in the Financial Industry? To leverage Big Data - entrepreneur and finance expert Jonah Engler, has put together this presentation to help the slideshare community understand the value - and HOW TO - use big data in the financial campaigns.
Jonah Engler is a financial expert and stock broker based in NYC. Leveraging his experience in finance, Engler has gone on to have success in the franchise, coffee, startup industries and more. To connect with Jonah - checkout his profile on LinkedIn: https://www.linkedin.com/in/jonahengler
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
Driving the future of big data | PromptCloudPromptCloud
The Big data & Machine Learning emerge as crucial technological assets of the future. Scare over data-driven artificial intelligence replacing human creativity.
From Automation System to Hyperconvergence - The Top Data Center Trends in Re...Comarch_Services
The beginning of 2016 was a promising period for data centers, filled with new drivers such as the power of Big Data and
new capabilities for analysis. What were the major trends in the data center industry during 2016? We try to identify and dive
a bit deeper into top data center issues and the technologies that have had the most significant impact on the sector in 2016.
As the year comes to an end, it is time to look ahead to see what the next year will bring us. Now for the 7th year in a row, I offer you my two cents on the most important technology trends for 2019 to help you, and your business, prepare for the next year. As we approach the end of the second decade of this new millennium, technology is evolving faster than ever before. These exponential times will have a profound effect on what it means to be human and how we manage organisations and societies. 2019 will be a year in which technology will improve its grip on society and where competition among countries over AI and quantum supremacy will increase. That is why I would like to call 2019 the Year of Truth. Let’s have a look at the seven technology trends that will dominate 2019.
Top Web Scraping Service Provider For The Retail Dataretailgators
We provide the best web scraping services worldwide and stay at the top for offering personalized analysis and web scraping solutions for all types and sizes of businesses.
Aslapr market research for entrepreneurs mg irc presentation 09 22-14Mark Goldstein
See latest version (11/19/14) at http://www.slideshare.net/markgirc/ahwatukee-co-c-market-research-for-entrepreneurs-mg-irc-presentation-111914
Mark Goldstein of International Research Center presented an updated version of his Market Research for Entrepreneurs presentation at the Arizona State Libraries, Archives & Public Records (ASLAPR) on Monday, September 22, 2014 in Phoenix, AZ. It focused on easy, low-cost ways to evaluate your target market, identify emerging trends, and anticipate competition.
Ahwatukee CoC Market Research for Entrepreneurs Presentation 11_19_14Mark Goldstein
Mark Goldstein of International Research Center presented an updated version of his Market Research for Entrepreneurs presentation to the Ahwatukee Chamber of Commerce on Wednesday, November 19, 2014 in Phoenix, AZ. It focused on easy, low-cost ways to evaluate your target market, identify emerging trends, and anticipate competition and covered market research vs. business intelligence, identifying your value chain and influencers, Internet searching tips & tricks, the deep web and dark web, industrial-strength databases, data analysis & actionable intelligence, dashboards for real-time monitoring, the advent & implications of big data, the developing Internet of Things, social media strategies & metrics, and venture capital/crowdfunding sources.
6 great competitive intelligence data sourcesMartin Brunet
Gathering more data for your competitive intelligence (CI) will allow you to have the best picture of your company’s performance as well as having the ability to predict the directions that your competitors are headed in.
What Is The Best Tool To Scrape LinkedIn Businesses Data.pdfAqsaBatool21
LinkedIn Company Scraper is a cutting-edge web scraping tool that harnesses the vast data available on LinkedIn to provide users with detailed company information. This tool automates the process of data extraction, allowing users to access vital information about businesses, such as company size, industry, location, and even employee profiles.
The Best Web Scraping Tool To Scrape Data From LinkedIn.pdfAqsaBatool21
LinkedIn Company Extractor is a web scraping tool that collects vital information from LinkedIn company pages.
It makes it easier to extract information on firms, their workers, and their platform activities.
Data is being generated at a feverish pace and forward thinking companies are integrating big data and analytics as part of their core strategy from day one. However, it is often hard to sift through the hype around big data and many companies start with only a small subset of data. Can smaller companies benefit from big data efforts? We will discuss several use cases and examples of how startups are using data to optimize their operations, connect with their users, and expand their market.
What is Web Scraping and What is it Used For? | Definition and Examples EXPLAINED
For More details Visit - https://hirinfotech.com
About Web scraping for Beginners - Introduction, Definition, Application and Best Practice in Deep Explained
What is Web Scraping or Crawling? and What it is used for? Complete introduction video.
Web Scraping is widely used today from small organizations to Fortune 500 companies. A wide range of applications of web scraping a few of them are listed here.
1. Lead Generation and Marketing Purpose
2. Product and Brand Monitoring
3. Brand or Product Market Reputation Analysis
4. Opening Mining and Sentimental Analysis
5. Gathering data for machine learning
6. Competitor Analysis
7. Finance and Stock Market Data analysis
8. Price Comparison for Product or Service
9. Building a product catalog
10. Fueling Job boards with Job listings
11. MAP compliance monitoring
12. Social media Monitor and Analysis
13. Content and News monitoring
14. Scrape search engine results for SEO monitoring
15. Business-specific application
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Basics of web scraping using python
Python Scraping Library
Similar to Sources of data collection for business applications (20)
Big Data’s Potential for the Real Estate Industry: 2021PromptCloud
Many real estate firms have long made decisions based on a combination of intuition and traditional, retrospective data. Today, a host of new variables make it possible to paint more vivid pictures of a location’s future risks and opportunities.
In this quickly technologizing industry, arming your team with the most robust data available and making important decisions based on the data is going to determine who wins and loses.Big data will become the key basis of competition and growth for individual firms, enhancing productivity and creating significant value for the world economy. In this white paper, we explore the real estate outlook for financial investment in 2021 and use cases demonstrating the power of data in transforming the real estate industry.
Looking for a similar tool like Octoparse? We have conducted thorough research on tools that can process web data to draw actionable insights. The results were amazing, as most of the web scraping tools that are available in the market offer unique value propositions for unique data requirements, differing from business to business. As you read further, you will be able to figure out the best Octoparse competitors & alternatives for your organizational data needs.
Most of the users use Octoparse to figure out how the market is functioning and to conduct data verification. However, conducting broad-level research might not always work for companies running in a niche domain. There are a lot of tools available today, offering value services like: easy usage, value for money, better user rating, getting structured data and etc, that could be a great fit for your business requirements. But first, let’s understand how Octoparse web scraping works.
How to Choose the Right Competitors & Alternatives of ParseHub Web Scraping Software?
Web scraping is generally used to understand the marketplaces and get visibility on the pricing structure of your competitors in the niche your company is invested in. Getting a fair understanding of various web scraping products and Parsehub competitors and alternatives will enable you to make informed decisions to grow your business. Read more to know how these tools work, scaling, delivery, target customers, and shortcomings. Read further, to take a look at companies offering data services according to industries, user rating, accessibility, deliverables, speed, interface, customer service, and technical challenges. But before we dive into this, let’s understand what web scraping is and how to access the ParseHub Web Scraping Software.
Product Visibility- What Is Seen First, Will ppt.pptxPromptCloud
Putting your products on multiple eCommerce websites may give you a broad reach, but might not be enough for them to be “visible”. Creating quality blogs or short videos on several themes could help you find a wider reach!You can partake in multiple activities like –
Talk about the USP of your products or highlight the star products.
Share a comparison of your products with your competitors.
Discuss topics related to the your product and services delivered by you. When users go to a product page, right after the images, they look at the heading and the description. Let’s take an example of a product listed on Amazon, to figure out how both headings and descriptions can increase the sales of your products.Read the complaints they have with similar products. Decide upon the size and quantity options that would suit the user base most. Understand the price point that is desired. And lo and behold you would have increased your product visibility!
Data plays a vital role in the fashion industry. It is used to drive decisions and strategy that generate sales, gain a better understanding of customers, and boost overall profit. Fashion designers and companies use data on a daily basis run a successful fashion business. However, the commonly perceived data used by fashion designers differ from the standard mathematical statistics commonly associated with the term “data”. Hence, data is not usually associated with the word fashion.
But, today’s top fashion houses are deploying several ways to use emerging analytical technologies in fashion retail today. We explore how the modern fashion industry uses data.
Data Standardization with Web Data Integration PromptCloud
Before analyzing data aggregated from multiple sources, it is essential to first standardize the datasets. At PromptCloud, we put special emphasis on this process and understand that as a web crawling company, our solution must enable our clients to integrate data efficiently.
Zipcode based price benchmarking for retailersPromptCloud
Here's our case study of a popular e-commerce platform based out of the United States, seeking data to be extracted from the web to enhance its pricing and product strategy.
Analyzing Positiveness in 160+ Holiday SongsPromptCloud
It is known that during any kind of celebration music is indispensable and the holiday season is no different. Since this time of the year brings positiveness, we decided to analyze the holiday songs to uncover some interesting insights related to musical features and positiveness in songs.
What a year 2018 has been for the data ecosystem! We believe the high-magnitude and rapid demand for alt-data (especially web data) from companies of various sizes across industries is a remarkable element of this year.
For PromptCloud, it has always been about moving the needle when it comes to democratization of web data access. We’re fortunate enough to have built a team that absolutely loves the ease of information flow offered by the internet and wants to share the same with the businesses across the globe.
We’re on a journey to make a dent in the alt-data space with laser-focused teams that are paranoid about the data quality delivered to our customers. In honor of our successful clients and their incredible growth powered by our talented data wizards, let’s spare a moment to celebrate PromptCloud’s year in review.
10 Mobile App Ideas that can be Fueled by Web ScrapingPromptCloud
We discuss various applications of web crawling and alternate data to fuel 10 potential mobile apps. The ideas range from reverse image search engine powered AI to voice of customer in ecommerce domain.
How Web Scraping Can Help Affiliate MarketersPromptCloud
This presentation discusses how web scraping services can be deployed to acquire trending ecommerce product data for better conversion in affiliate marketing.
In this study, we analyze the reviews for the top 10 most expensive and least expensive hotels based out of London to compare various aspects of the rating and review text.
Why and how to scrape geospatial data from the webPromptCloud
We highlight various use cases of geospatial data along with its ability to augment existing data for robust insights. It also covers some of the prominent sources of data collection.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
2. There is a goldmine of web
data freely available to crawl.
3. Businesses need to be
pointing in the right direction
while identifying the correct
sources of data collection for
their particular use case.
4. Before we see the best web
data sources for various
business applications, let’s
take a look at few things that
one should keep in mind
while selection the sources
5. #1 Stay away from sites that block bots
Certain websites use aggressive bot blocking
technologies despite legally allowing web
crawling via their robots.txt rules.
Such sites aren’t great data sources since their
blocking activities might give you incomplete,
skewed or no data at all.
STOP
6. #2 Watch out for broken links
Broken links are a clear sign of a poorly
maintained website.
Broken links can cause issues while the web
crawlers try to navigate the site to reach
different pages to fetch the data.
7. #3 User experience and site design
Websites with a cluttered and complex user
interface often have low quality, unreliable
information available on them.
If you have to use a website with poor user
experience as your source of data, it’s better to
ensure the reliability of the information
manually before proceeding.
8. #4 Frequently updated sites
Fresh data is critical for time-sensitive
applications of web data such as pricing
intelligence, brand monitoring and news feed
aggregation.
For most cases, you should ideally look for
frequently updated websites.
9. Now, let’s look at some of the
sources of data collection for
different business application
10. Brand monitoring using
web crawling helps you
discover negative
opinions voiced by
consumers so as to fix the
overlooked issues within
your offering.
#1 Brand monitoring
11. Ideal sources of data collection
for brand monitoring are:
• Public forums
• Niche blogs
• Reviews section on
e-commerce/travel sites
• Social media platforms
#1 Brand monitoring
12. #2 Sentiment analysis
Here are the popular sources used by companies for
sentiment analysis:
• Social sites like Twitter,
Reddit, YouTube and –
Instagram
• Sites where reviews are
posted
• News websites
• Other niche social media
sites
13. #3 Market research
Market research is crucial
for gauging the market size,
demand and competition
among other important
aspects of the market. With
web scraping, the process
of market research can be
easily automated and
accelerated.
14. #3 Market research
Some of the notable sources for
collecting data for market
research are:
-Government websites
-Statistics websites
-Competitors’ websites
15. #4 News feed aggregation
News and media sites
need ready access to the
breaking news and
trending information
from the web.
16. #4 News feed aggregation
For news feeds aggregation, the best sources are:
• News websites
• Feed aggregator websites
• Social media sites
• Blogs
17. #5 Job feed aggregation
Job boards, HR consultancies and
recruitment analytics firms can make
good use of job posting data.
Since job listings reflect the current
trends in the labor market such as
skills in demand, trending job titles
and the industries that are hiring,
companies in this industry can derive
crucial insights from this data.
18. #5 Job feed aggregation
Best sources for job data aggregation are:
• Job boards
• Career pages of company websites
• Classified websites
19. #6 Pricing intelligence
Competitive pricing is one of
the defining traits of e-
commerce, hotel and flight
booking businesses today.
The price sensitivity of
today’s customer has also
lead to the mushrooming of
price comparison websites.
20. #6 Pricing intelligence
Companies looking to
gather pricing data can
extract it via web scraping
from the following sources:
• Ecommerce portals
• Travel portals
• Price comparison websites
21. Bonus tip: DataStock
You can instantly access comprehensive, clean
and ready-to-use pre-crawled web datasets
from wide range of industries spanning across
the geographies using DataStock.
Sign up for FREE
Click here to avail special discount
if you are a student or a teacher.
22. #7 Catalog building
Travel portals with huge
inventory find it difficult to
manage their catalogs.
Keeping the product pages
up to date would require
relevant data extracted from
sources where the hotel
room data is present.
23. #7 Catalog building
The ideal sources for
catalog building are:
• Other travel portals
• Hotel websites
24. #8 Application for financial market
Companies or individuals that are closely
associated with the financial industry would
require near-real time data from sites that host
financial data.
The data is time-sensitive
in this case and would
require a live web
crawling solution to fetch
it with ultra low latency.
25. #8 Application for financial market
Sources of data include:
• Stock market websites
• Websites of major financial
institutions
• News and media sites
26. The applications of
data collection using
automated
technologies such as
web scraping is on
the rise.
27. However, selecting the right
kind of source websites is a
crucial step to ensure proper
results from your data
aggregation project.
28. Since the quality and
relevance of data
present on different
websites vary a lot, one
has to be extremely
selective while adding a
site to the source list.
29. Reliable and relevant sources of
data collection can greatly enhance
the ROI from web scraping.
30. Are you looking for reliable service
to extract data from the web for
your business?
Reach out to us at
sales@promptcloud.com to discuss
your requirements.
www.promptcloud.com