Things to Factor in while Choosing a Data Extraction Solution

Things to Factor in while Choosing a Data Extraction Solution

Customization options

You should consider how flexible the solution is when it comes to changing the data points or schema as and when required. This is to make sure that the solution you choose is future-proof in case your requirements vary depending on the focus of your business. If you go with a rigid solution, you might feel stuck when it doesn’t serve your purpose anymore. Choosing a data extraction solution that’s flexible enough should be given priority in this fast-changing market.

Cost

If you are on a tight budget, you might want to evaluate what option really does the trick for you at a reasonable cost. While some costlier solutions are definitely better in terms of service and flexibility, they might not be suitable for you from a cost perspective. While going with an in-house setup or a DIY tool might look less costly from a distance, these can incur unexpected costs associated with maintenance. Cost can be associated with IT overheads, infrastructure, paid software and subscription to the data provider. If you are going with an in-house solution, there can be additional costs associated with hiring and retaining a dedicated team.

Data delivery speed

Depending on the solution you choose, the speed of data delivery might vary hugely. If your business or industry demands faster access to data for the survival, you must choose a managed service that can meet your speed expectations. Price intelligence, for example is a use case where speed of delivery is of utmost importance.

Dedicated solution

Are you depending on a service provider whose sole focus is data extraction? There are companies that venture into anything and everything to try their luck. For example, if your data provider is also into web designing, you are better off staying away from them.

Reliability

When going with a data extraction solution to serve your business intelligence needs, it’s critical to evaluate the reliability of the solution you are going with. Since low quality data and lack of consistency can take a toll on your data project, it’s important to make sure you choose a reliable data extraction solution. It’s also good to evaluate if it can serve your long-term data requirements.

Scalability

If your data requirements are likely to increase over time, you should find a solution that’s made to handle large scale requirements. A DaaS provider is the best option when you want a solution that’s salable depending on your increasing data needs.

When evaluating options for data extraction, it’s best keep these points in mind and choose one that will cover your requirements end-to-end. Since web data is crucial to the success and growth of businesses in this era, compromising on the quality can be fatal to your organisation which again stresses on the importance of choosing carefully.

Source:https://www.promptcloud.com/blog/choosing-a-data-extraction-service-provider

How Data Scraping Help Businesses?

Gathering data from diverse internet sources like website and others, the process is called as data scraping. Around the globe such and many describe data scraping as web scraping, data harvesting. Now days the competition is very high in every business and for that the companies required to collect more useful data for their business. 

Research market trends and extracting different types of data is necessary today’s. Data scraping is one of the latest technology that collect diverse data from internet source and make use in the analysis.

By using data scraping any one can quickly classify the any kind of information and also make decision and marketing strategies. Reducing risk and also improving business profit are other advantages of data scraping. Scraping data from website by manually and also using data scraper, website scraper and website data scraper tools.

Now you want to get data scraping solutions for your business?The company offers lowest industry rate data scraping, web data scraping and website data scraping services as the need of clients with never compromise on quality and fast turn around time. For further details about the company send query at info@www.web-scraping-services.com.


Source Url : -http://3idatascraping.weebly.com/blog/how-data-scraping-help-businesses

Applications of Web Data Extraction in Ecommerce

web data mining ecommerceWe all know the importance of data generated by an organisation and its application in improvement of product strategy, customer retention, marketing, business development and more. With the advent of digital age and increase in storage capacity, we have come to a point where the internal data generated by an organisation has become synonymous with Big Data. But, we must understand that by focusing only on the internal data, we are losing out another another crucial source – the web data.

Pricing Strategy

This is one of the most common use cases in Ecommerce. It’s important to correctly price the products in order to get the best margins and that requires continuous evaluation and remodeling of pricing strategy. The very first approach takes into account market condition, consumer behavior, inventory and a lot more. It’s highly probable that you’re already implementing such type of pricing strategy by leveraging your organisational data. That said, it’s also equally important to consider the pricing set by the competitors for similar products as consumers can be price sensitive.

We provide data feeds consisting of product name, type, variant, pricing and more from Ecommerce websites. You can get this structured data according to your preferred format (CSV/XML/JSON) from your competitors’s websites to perform further analysis. Just feed the data into the analytics tool and you are ready to factor in the competitors’ pricing into your pricing strategy. This will answer some the important questions such as: Which product can attract premium price? Where can we give discount without incurring loss? You can also go one step further by using our live crawling solution to implement a robust dynamic (real-time) pricing strategy. Apart from this, you can use the data feed to understand and monitor competitors’ product catalog.

Reseller management

There are many manufacturers who sell via resellers and generally there are terms that restrict the resellers from selling the products on the same set of Ecommerce sites. This ensures that the seller is not competing with others to sell own product. But, it’s practically impossible to manually search the sites to find the resellers who are infringing the terms. Apart from that, there might be some unauthorized sellers selling your product on various sites.
Web data extraction services can automate the data collection process so that you’ll be able to search products and their sellers with less time and efficiently. After that your legal department can take the further action according to the situation.

Demand analysis

Demand analysis is a crucial component for planning and shipping products. It answers important questions such as: Which product will move fast? Which one will be slower? To start off, e-commerce stores can analyze own sales figures to estimate the demand, but it’s always recommended that planning must be done much before the launch. That way you won’t be planning after the customers land on your site; you’d be ready with right number of products to meet the demand.
One great place to get a solid idea of demand is online classified site. Web crawling can be deployed to monitor the most in-demand products, categories and the listing rate. You can also look at the pattern according to different geographical locations. Finally, this data can be used to prioritize the sales of products in different categories as per region-specific demand.

Search Ranking on marketplaces

Many Ecommerce players sell their product on their own website along with marketplaces like Amazon and eBay. These popular marketplaces attract a huge number of consumers and sellers. The sheer volume of sellers on these platforms makes it difficult to compete and rank high for particular search performed on these sites. Search ranking in these marketplaces depends on multiple factors (title, description, brand, images, conversion rate, etc.) and needs continuous optimization. Hence, monitoring ranking for preferred keywords for the specific products via web data extraction can be helpful in measuring the result of optimization efforts.

Campaign monitoring

Many brands are engaging with consumers via different platforms such as YouTube and Twitter. Consumers are also increasingly turning towards various forums to express their views. It has become imperative for businesses to monitor, listen and act on what consumers say. You need to move beyond number of retweets, likes, views, etc. and look at how exactly consumers perceived your messages.
This can be done by crawling forums and sites like YouTube and Twitter to extract all the comments related to your brand and your competitors’ brand. Further analysis can be done by performing sentiment analysis. This will give you additional idea for future campaigns and help you optimize product strategy along with customer support strategy.

Takeaway

We covered some of the practical use cases of web data mining in the e-commerce domain. Now it’s up to you to leverage the web data to ensure growth of your retail store. That said, crawling and extracting data from the web can be technically challenging and resource intensive. You need a strong tech team with domain expertise, data infrastructure and monitoring setup (in case of website structure changes) to ensure steady flow of data. At this point it won’t be out of context to mention that some of our clients had tried to do this in-house and came to us when the results didn’t meet expectation. Hence, it is recommended that you should go with a dedicated Data as a Service provider who can deliver data from any number of sites according to pre-specified format at desired frequency. PromptCloud takes care of end to end data acquisition pipeline and ensures high quality data delivery without interruption. Check out our detailed post of on things to consider when evaluating options for web data extraction.

Source Url:-https://www.promptcloud.com/blog/applications-of-web-data-extraction-in-ecommerce/

Web Scraping – A trending technique in data science!!!

Web Scraping – A trending technique in data science!!!

Web scraping as a market segment is trending to be an emerging technique in data science to become an integral part of many businesses – sometimes whole companies are formed based on web scraping. Web scraping and extraction of relevant data gives businesses an insight into market trends, competition, potential customers, business performance etc.  Now question is that “what is actually web scraping and where is it used???” Let us explore web scraping, web data extraction, web mining/data mining or screen scraping in details.

What is Web Scraping?

Web Data Scraping is a great technique of extracting unstructured data from the websites and transforming that data into structured data that can be stored and analyzed in a database. Web Scraping is also known as web data extraction, web data scraping, web harvesting or screen scraping.

What you can see on the web that can be extracted. Extracting targeted information from websites assists you to take effective decisions in your business.

Web scraping is a form of data mining. The overall goal of the web scraping process is to extract information from a websites and transform it into an understandable structure like spreadsheets, database or csv. Data like item pricing, stock pricing, different reports, market pricing, product details, business leads can be gathered via web scraping efforts.

There are countless uses and potential scenarios, either business oriented or non-profit. Public institutions, companies and organizations, entrepreneurs, professionals etc. generate an enormous amount of information/data every day.

Uses of Web Scraping:

The following are some of the uses of web scraping:

- Collect data from real estate listing
- Collecting retailer sites data on daily basis
- Extracting offers and discounts from a website.
- Scraping job posting.
- Price monitoring with competitors.
- Gathering leads from online business directories – directory scraping
- Keywords research
- Gathering targeted emails for email marketing – email scraping
- And many more.

There are various techniques used for data gathering as listed below:

- Human copy-and-paste – takes lot of time to finish when data is huge
- Programming the Custom Web Scraper as per the needs.
- Using Web Scraping Softwares available in market.

Are you in search of web data scraping expert or specialist. Then you are at right place. We are the team of web scraping experts who could easily extract data from website and further structure the unstructured useful data to uncover patterns, and help businesses for decision making that helps in increasing sales, cover a wide customer base and ultimately it leads to business towards growth and success.

Source:http://webdata-scraping.com/web-scraping-trending-technique-in-data-science/

Tips For Data Scrapping in PDF File

Tips For Data Scrapping in PDF File

What is the Data Scrapping?

End data, a method or a procedure in which material is extracted from the text refers to a document. A person using this process can remove material from a PDF file format.

Those involved in commercial activities may fall short on data disposal. It is a process in which data or information can be extracted from the Portable Document Format file. They have tools that automatically format data that different provisions may be found on the Internet are easy to use. These advanced tools to the needs of users can gather information. Users do just words or phrases and all related equipment, Portable Document Format file that will extract the necessary information available to enter. It is widely used to collect information from an editable format.

Portable Document Format files are a major asset to protect the originality of the documents you convert from Word to PDF data. Algorithms the image file compression file sizes are due to heavy graphics or content are less. A portable Data Scrapping document format or to fix any software, hardware independent. File encryption enhances the security of its content allows.

How data from a PDF file, you can scrap?

A portable document format that an application for exchange or transfer data over the content or the platform can be used. Part of storing large amounts of data as a simple tool can use this program. Easy and rapid application materials in a portable document format can handle. The computer program that more or stored in a Portable Document Format file is a variety of data extracted.

Valuable content in a particular file can remove a non-editable. An application containing a PDF document can make large amounts of valuable information. This technique of sampling equipment reports, theses, presentations, projects, manuals and other documents those are useful to prepare.

Information out to eliminate important data in the format support. Easily extracted from a person can keep the formatting of the data intact and secure. You and PDF documents on a variety of subjects to make a number of Word may be for information purposes. A scene from a non-editable file can delete content or images. Therefore, with text and graphics can be extracted.

A Portable Document Format is an application that is used for a variety of reasons. A personal password, certificates and digital signatures can encrypt files using. It is portable and compatible format that allows you to transfer your files in Portable Document Format is applied. The request to use the information for a variety of reports can be prepared properly.

Source:http://www.sooperarticles.com/business-articles/outsourcing-articles/tips-data-scrapping-pdf-file-492673.html#ixzz4hmydaqhY

Web Data and Web Scraping

Web Data and Web Scraping

You can get web data through a process called web scraping. Since websites are created in a human readable format, software can’t meaningfully analyze this information. While you could manually (read: the time-consuming route) input this data into a format more palatable to programs, web scraping automates this process and eliminates the possibility of human error.

How You Can Use Web Data

If you’re new to the world of web data or looking for creative ways to channel this resource, here are three real world examples of entrepreneurs who use scraped data to accelerate their startups.
Web Data for Price Monitoring

The key to staying ahead of your competitors online is to have excellent online visibility, which is why we invest so much in paid advertising (Google Adwords). But it occurred to me that if you aren’t offering competitive prices, then you’re essentially throwing money down the drain. Even if you have good visibility, users will look elsewhere to buy once they’ve seen your prices.

Although I used to spend hours scrolling through competitor sites to make sure that I was matching all of their prices, it took far too long and probably wasn’t the best use of my time. So instead, I started scraping websites and exporting the pricing information into easily readable spreadsheets.

This saves me huge amounts of time, but also saves my copywriter time as they don’t have to do as much research. We usually outsource the scraping, as we don’t really trust ourselves to do it properly! The most important aspect of this process is having the data in an easily readable format. Spreadsheets are great, but even they can become too muddled up with unnecessary information.

Enriched Web Data for Lead Generation

We use a variety of different sources and data to get our clients more leads and sales. This is really beneficial to our clients that include national and international brands who all use this information to specifically target an audience, boost conversions, increase engagement and/or reduce customer acquisition costs.

Web data can help you know which age groups, genders, locations, and devices convert the best. If you have existing analytics already in place, you can enrich this data with data from around the web, like reviews and social media profiles, to get a more complete picture. You’ll be able to use this enriched web data to tailor your website and your brand’s message so that it instantly connects to who your target customer is.

For example, by using these techniques, we estimate that our client Super Area Rugs will increase their annual revenue by $450,000.

Web Data for Competitor Monitoring

The coupon business probably seems docile from the outside but the reality is that many sites are backed by tens of millions of dollars in venture capital and there are only so many offers to go around. That means exclusive deals can easily get poached by competitors. So we use scraping to monitor our competition to ensure they’re not stealing coupons from our community and reposting them elsewhere.

Both the IT and Legal departments use this data–in IT, we use it more functionally, of course. Legal uses it as research before moving ahead with cease and desist orders.

And there you have it. Real use cases of web data helping companies with competitive pricing, competitor monitoring, and increasing conversion for sales. Keep in mind that it’s not just about having the web data, it’s also about quality and using a reputable company to provide you with the information you need to increase your revenue.

Source:https://blog.scrapinghub.com/2016/11/10/how-you-can-use-web-data-to-accelerate-your-startup/

Data Mining Services

Data Mining Services

The aim of the data mining process is to collect the information from reliable online sources as per the requirement of the customer and convert it to a structured format for the further use. The major source of data mining is any of the internet search engine like Google, Yahoo, Bing, AOL, MSN etc. Many search engines such as Google and Bing provide customized results based on the user’s activity history. Based on our keyword search, the search engine lists the details of the websites from where we can gather the details as per our requirement.

Collect the data from the online sources such as Company Name, Contact Person, Profile of the Company, Contact Phone Number of Email ID Etc. are doing for the marketing activities. Once the data is gathered from the online sources into a structured format, the marketing authorities will start their marketing promotions by calling or emailing the concerned persons, which may result to create a new customer. So basically data mining is playing a vital role in today’s business expansions. By outsourcing the data entry and its related works, you can save the cost that would be incurred in setting up the necessary infrastructure and employee cost.

Source:https://www.isnare.com/?aid=1839547&ca=Internet