Web Data Extraction Services and Data Collection Form Website Pages

For any business market research and surveys plays crucial role in strategic decision making. Web scrapping and data extraction techniques help you find relevant information and data for your business or personal use. Most of the time professionals manually copy-paste data from web pages or download a whole website resulting in waste of time and efforts.

Instead, consider using web scraping techniques that crawls through thousands of website pages to extract specific information and simultaneously save this information into a database, CSV file, XML file or any other custom format for future reference.

Examples of web data extraction process include:

• Spider a government portal, extracting names of citizens for a survey
• Crawl competitor websites for product pricing and feature data
• Use web scraping to download images from a stock photography site for website design

Automated Data Collection

Web scraping also allows you to monitor website data changes over stipulated period and collect these data on a scheduled basis automatically. Automated data collection helps you discover market trends, determine user behavior and predict how data will change in near future.

Examples of automated data collection include:

• Monitor price information for select stocks on hourly basis
• Collect mortgage rates from various financial firms on daily basis
• Check whether reports on constant basis as and when required

Using web data extraction services you can mine any data related to your business objective, download them into a spreadsheet so that they can be analyzed and compared with ease.

In this way you get accurate and quicker results saving hundreds of man-hours and money!

With web data extraction services you can easily fetch product pricing information, sales leads, mailing database, competitors data, profile data and many more on a consistent basis.

Article Source: http://EzineArticles.com/4860417 

Various Methods of Data Collection

Professionals in all the business industries widely use research, whether it is education, medical, or manufacturing, etc. In order to perform a thorough research, you need to follow few suitable steps regarding data collection. Data collection services play an important role in performing research. Here data is gathered with appropriate medium.

Types of Data

Research could be divided in two basic techniques of collecting data, namely: Qualitative collection of data and quantitative collection. Qualitative data is descriptive in nature and it does not include statistics or numbers. Quantitative data is numerical and includes a lot of figures and numbers. They are classified depending on the methods of its collection and its characteristics.

Data collected primarily by the researcher without depending on pre-researched data is called primary data. Interviews as well as questionnaires are generally found primary data/information collection techniques. Data collected from other means, other than by the researcher is secondary data. Company surveys and government census are examples of secondary collection of information.

Let us understand in detail the methods of qualitative data collection techniques in research.

Internet Data: Here there is a huge collection of data where one gets a huge amount of information for research. Researchers remember that they depend on reliable sources on the web for precise information.

Books and Guides: This traditional technique is authentically used in today's research.

Observational data: Data is gathered using observational skills. Here the data is collected by visiting the place and noting down details of all that the researcher observes which is needed for essential for his research.

Personal Interviews: Increases authenticity of data as it helps to collect first hand information. It does not serve fruitful when a big number of people are to be interviewed.

Questionnaires: Serves best when questioning a particular class. A questionnaire is prepared by the researcher as per the need of data-collection and forwarded to responders.

Group Discussions: A technique of collecting data where the researcher notes down details of what people in a group has to think. He comes to a conclusion depending on the group discussion that involves debate on topics of research.

Use of experiments: To obtain the complete understanding researchers conduct real experiments in the field used mainly in manufacturing and science. It is used to obtain an in-depth understanding of the researching subject.

Data collection services use many techniques including the above mentioned for collection. These techniques are helpful to the researcher in drawing conceptual and statistical conclusions. In order to obtain precise data researchers combine two or more of the data collection techniques.

Source:http://ezinearticles.com/?Various-Methods-of-Data-Collection&id=5906957

How We Optimized Our Web Crawling Pipeline for Faster and Efficient Data Extraction

How We Optimized Our Web Crawling Pipeline for Faster and Efficient Data Extraction

Big data is now an essential component of business intelligence, competitor monitoring and customer experience enhancement practices in most organizations. Internal data available in organizations is limited by its scope, which makes companies turn towards the web to meet their data requirements. The web being a vast ocean of data, the possibilities it opens to the business world are endless. However, extracting this data in a way that will make sense for business applications remains a challenging process.

The need for efficient web data extraction

Web crawling and data extraction is something that can be carried out through more than one route. In fact, there are so many different technologies, tools and methodologies you can use when it comes to web scraping. However, not all of these deliver the same results. While using browser automation tools to control a web browser is one of the easier ways of scraping, it’s significantly slower since rendering takes  a considerable amount of time.

There are DIY tools and libraries that can be readily incorporated into the web scraping pipeline. Apart from this, there is always the option of building most of it from scratch to ensure maximum efficiency and flexibility. Since this offers far more customization options which is vital for a dynamic process like web scraping, we have a custom built infrastructure to crawl and scrape the web.

How we cater to the rising and complex requirements

Every web scraping requirement that we receive each day is one of a kind. The websites that we scrape on a constant basis are different in terms of the backend technology, coding practices and navigation structure. Despite all the complexities involved, eliminating the pain points associated with web scraping and delivering ready-to-use data to the clients is our priority.

Some applications of web data demand the data to be scraped in low latency. This means, the data should be extracted as and when it’s updated in the target website with minimal delay. Price comparison, for example requires data in low latency. The optimal method of crawler setup is chosen depending on the application of the data. We ensure that the data delivered actually helps your application, in all of its entirety.

How we tuned our pipeline for highly efficient web scraping

We constantly tweak and tune our web scraping infrastructure to push the limits and improve its performance including the turnaround time and data quality. Here are some of the performance enhancing improvements that we recently made.

1. Optimized DB query for improved time complexity of the whole system

All the crawl stats metadata is stored in a database and together, this piles up to become a considerable amount of data to manage. Our crawlers have to make queries to this database to fetch the details that would direct them to the next scrape task to be done. This usually takes a few seconds as the meta data is fetched from the database. We recently optimized this database query which essentially reduced the fetch time to merely a fraction of seconds from about 4 seconds. This has made the crawling process significantly faster and smoother than before.

2. Purely distributed approach with servers running on various geographies

Instead of using a single server to scrape millions of records, we deploy the crawler across multiple servers located in different geographies. Since multiple machines are performing the extraction, the load on each server will be significantly lower which in turn helps speed up the extraction process. Another advantage is that certain sites that can only be accessed from a particular geography can be scraped while using the distributed approach. Since there is a significant boost in the speed while going with the distributed server approach, our clients can enjoy a faster turnaround time.

3. Bulk indexing for faster deduplication

Duplicate records is never a trait associated with a good data set. This is why we have a data processing system that identifies and eliminates duplicate records from the data before delivering it to the clients. A NoSQL database is dedicated to this deduplication task. We recently updated this system to perform bulk indexing of the records which will give a substantial boost to the data processing time which again ultimately reduces the overall time taken between crawling and data delivery.

Bottom line

As web data has become an inevitable resource for businesses operating across various industries, the demand for efficient and streamlined web scraping has gone up. We strive hard to make this possible by experimenting, fine tuning and learning from every project that we embark upon. This helps us maintain a consistent supply of clean, structured data that’s ready to use to our clients in record time.

Source:https://www.promptcloud.com/blog/how-we-optimized-web-scraping-setup-for-efficiency

A guide to data scraping

Data is all the rage these days.

It’s what businesses are utilizing to create an unfair advantage with their customers. The more data you acquire, the easier it becomes to slice it up in a unique way to solve problems for your customers.

But knowing that data can benefit you – and actually getting the data – are two separate items.
Much like technology, data can catapult you to greater heights, or it can bring you to your knees.
That’s why it is essential to pay careful attention and ensure the data you use propels you forward versus holding you back.

Why all data isn’t created equal

The right data can make you a hero. It can keep you at the forefront of your industry, allowing you to use the insights the information uncovers to make better decisions.

Symphony Analytics uses a myriad of patient data from a variety of sources to develop predictive models, enabling them to tailor medication schedules for different patient populations.

Conversely, the wrong data can sink you. It can cause you to take courses of action that just aren’t right. And, if you take enough wrong action based upon wrong data, your credibility and reputation could suffer a blow that’s difficult to recover from.

For instance, one report from the state of California auditor’s office shows that accounting records were off by more than $6 million due to flawed data.

That’s no good. And totally avoidable.

As a result, it is critical you invest the energy in advance to ensure the data you source will make you shine, rather than shrink.
How to get good data

You’ve got to plan for it. You’ve got to be clear about your business objectives, and then you’ve got to find a way to source the information in a consistent and reliable manner.

If your business’ area of expertise is data capture and analysis, then gathering the information you need on your own could be a viable option.

But, if the strength of you and your team isn’t in this specialized area, then it’s best to leave it to the professionals.

That’s why brands performing market research on a larger scale often hire market research firms to administer the surveys, moderate focus groups or conduct one-on-one interviews.

Of late, more companies are turning to data scraping as a means to capture the quantitative information they need to fuel their businesses. And they frequently turn to third-party companies to supply them with the information they need.

While doing so allows them to focus on their core businesses, relinquishing control of a critical asset for their businesses can be a little nerve-racking.

But, it doesn’t have to be. That is if you work with the right data scraping partner.

How to choose the right data scraping partner for you
In the project management world, there’s a triangle that is often used to help prioritize what is most important to you when completing a task.

Data Scraping Group: Good, Fast, Cheap - Pick any two

Although you may want all three choices, you can only pick two.

If you want something done fast, and of good quality, know that it won’t be cheap. If you want it fast and cheap, be aware that you will sacrifice quality. And if you’d like it to be cheap and good, prepare to wait a bit, because speed is a characteristic that will fall off the table.

There are many 3rd party professionals who can offer data scraping services for you. As you begin to evaluate them, it will be helpful to keep this triangle in mind.
Here are six considerations when exploring a partner to work with to ensure you get high-quality
web crawling and data extraction.

1. How does the data fit into your business model?

This one is counter intuitive, but it’s a biggie. And, it plays a major role as you evaluate all the other considerations.

If the data you are receiving is critical to your operations, then obtaining high-quality information exactly when you need it is non-negotiable. Going back to the triangle, “good” has to be one of your two priorities.

For instance, if you’re a daily deal site, and you rely on a third party to provide you all the data for the deals, then having screw-ups with your records just can’t happen.
That would be like a hospital not staffing doctors for the night. It just doesn’t work.
But, if the data you need isn’t mission critical for you to run your business, you may have a little more leeway in terms of how you weight the other factors that go into choosing who best to work with.

2. Cost

A common method numerous businesses use to evaluate costs is just to evaluate vendors based on the prices they quote.

And, too often, companies let the price ranges of the service providers dictate how much they are willing to pay.

A smarter option is to determine your budget in advance … before you even go out to explore who can get you the data you need. Specifically, you should decide how much you are able and willing to pay for the information you want. Those are two different issues.
Most businesses don’t enjoy unlimited budgets. And, even when the information being sourced is critical to operating the business, there is still a ceiling for what you’re able to pay.
This will help you start operating from a position of strength, rather than reacting to the quotes you may receive.

Another thing to consider are the various types of fees. Some companies charge a setup fee, followed by a subsequent monthly fee. Others charge fixed costs. If you’re looking at multiple quotes from vendors, this could make it difficult for you to compare.
A wise way to approach this is to make sure you are clear on what the total cost would be for the project, for whatever specified time period you’d like to contract with someone.
Here are a few questions to ask to make sure you get a full view of the costs and fees in the estimate:

-Is there a setup fee?
-What are the fixed costs associated with this project?
-What are the variable costs, and how are they calculated?
-Are there any other taxes, fees, or things that I could be charged for that are not listed on this quote?
-What are the payment terms?

3. Communication

Even when you’ve got a foolproof system that runs like a well-oiled machine, you still need to interact with your vendors on a regular basis. Ongoing communication confirms things are operating the way you’d like, gives you an opportunity to discuss possible changes and ensures your partner has a firm understanding of your business needs.

The data you are sourcing is important to you and your business. You need to partner with someone who will be receptive to answering questions and responding in a timely manner to inquiries you have.

4. Reputation

This was mentioned before, but it’s worth repeating. All data is not created equal. And, if you are utilizing data as a means to build and grow your business, you need to make sure it’s good.

So, even though data scraping isn’t your area of expertise, it will greatly benefit you to spend time validating the reputation the people vying to deliver it to you.

How do they bake quality in their work? Do they have any certifications or other forms of proof to give you further confidence in their capabilities? Have their previous customers been pleased with the quality of the data they’ve delivered?

You could do so by checking reviews of previous customers to see how pleased they were and why. This method is also helpful because it may assist you in identifying other important criteria that may not have been on your radar.

You could also compare the credentials of each of the vendors, and the teams who will actually be working on your project.

Another highly-effective way could be to simply spend time talking to your potential partners and have them explain to you their processes. While you may not understand all the lingo, you could ask them a few questions about how they engage in quality control and see how they respond.

You’d probably be shocked at the range of answers you get.

Here are a few questions to guide you as you start asking questions about their quality system:

- Are the data spiders customized for the websites you want information from?
- What mechanisms are in place to verify the harvested data is correct?
- How is the performance of the data spiders monitored to verify they haven’t failed?
- How is the data backed up? Is redundancy built into the process so that information is not lost?
- Is internet access high-speed, and how frequently is it monitored?

5. Speed

For those suppliers that are able to deliver data to you fast, make sure you understand why they are able to deliver at such a rapid speed. Are there special systems they have in place that enable them to do so? Or perhaps, is there any level of quality that is sacrificed as a result of getting you information fast.

Often when contracting with a data extraction partner, they’ll deliver your information on a set schedule that you both agree upon.

But, there may be times when you need information outside of your normal schedule, and you may even need it on a brief timeline.

Knowing in advance how quickly your partner is able to turn around a request will help you better prepare project lead times.

6. Scalability

The needs of your business change over time. And, as you work to grow, it is quite possible the data needs of your company will expand as well.

So, it’s helpful to know your data scraping partner is able to grow with you. It would be great to know that as the volume, and perhaps the speed of the information you need to run your business increases, the company providing it is able to keep pace.

Don’t get stuck with bad data
It could spell disaster for your business. So, make sure you do your due diligence to fully vet the companies you’re considering sourcing your data from.
Make a list of requirements in advance and rank them, if necessary, in order of importance to you.
That way, as you begin to evaluate proposals and capabilities, you’ll be in a position to make an informed decision.
You need good data. Your customers need you to have good data, too.
Make sure you work with someone who can give it to you.

Source url :-http://www.data-scraping.com.au/techniques-for-high-quality-web-crawling-and-data-extraction

How Data Mining Has Shaped The Future Of Different Realms

The work process of data mining is not exactly what its name suggests. In contrast to mere data extraction, it's a concept of data analysis and extracting out important and subject centred knowledge from the given data. Huge amounts of data is currently available on every local and wide area network. Though it might not appear, but parts of this data can be very crucial in certain respects. Data mining can aid one in moldings one's strategies effectively, therefore enhancing an organisation's work culture, leading it towards appreciable growth.

Below are some points that describe how data mining has revolutionised some major realms.

Increase in biomedical researches

There has been a speedy growth in biomedical researches leading to the study of human genetic structure, DNA patterns, improvement in cancer therapies along with the disclosure of factors behind the occurrence of certain fatal diseases. This has been, to an appreciable extent. Data scraping led to the close examination of existing data and pick out the loopholes and weak points in the past researches, so that the existing situation can be rectified.

Enhanced finance services

The data related to finance oriented firms such as banks is very much complete, reliable and accurate. Also, the data handling in such firms is a very sensitive task. Faults and frauds might also occur in such cases. Thus, scraping data proves helpful in countering any sort of fraud and so is a valuable practice in critical situations.

Improved retail services

Retail industries make a large scale and wide use of web scraping. The industry has to manage abundant data based on sales, shopping history of customers, input and supply of goods and other retail services. Also, the pricing of goods is a vital task. Data mining holds huge work at this place. A study of degree of sales of various products, customer behaviour monitoring, the trends and variations in the market, proves handy in setting up prices for different products, bringing up the varieties as per customers' preferences and so on. Data scraping refers to such study and can shape future customer oriented strategies, thereby ensuring overall growth of the industry.

Expansion of telecommunication industry

The telecom industry is expanding day by day and includes services like voicemail, fax, SMS, cellphone, e- mail, etc. The industry has gone beyond the territorial foundations, including services in other countries too. In this case, scraping helps in examining the existing data, analyses the telecommunication patterns, detect and counter frauds and make better use of available resources. Scraping services generally aims to improve the quality of service, being provided to the users.

Improved functionality of educational institutes

Educational institutes are one of the busiest places especially the colleges providing higher education. There's a lot of work regarding enrolment of students in various courses, keeping record of the alumni, etc and a large amount of data has to be handled. What scraping does here is that it helps the authorities locate the patterns in data so that the students can be addressed in a better way and the data can be presented in a tidy manner in future.

Article Source: https://ezinearticles.com/?How-Data-Mining-Has-Shaped-The-Future-Of-Different-Realms&id=9647823

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

Benefits with Web Data Scraping Services

Web scraping in simple words is that you can extract data from any website and it is quite similar to web harvesting.

Online business has become so popular due to the increase in number of internet users. One of the main benefits of online business is that it is cheap and it is easily accessible. This has become very tough and a competitive field. Hence it is important that each should exhibit high performance in order to survive here. Today most of the online business depends on web data scraping for better performance.

The benefits with web data scraping services are:

•    An unstructured data can be transformed into suitable form and it can be stored as spreadsheet or as a database
•    It provides data which are informational
•    Some of the websites provide free access and hence you can save money
•    It helps to save time and energy. If it is done by manpower, it will take more time to do because they need to go through the websites and that can be time consuming.
•    The results provided are accurate. It will provide the exact result required instead of providing the related data.

With web scraping benefits you can scrape any kind of data without much trouble and can be delivered in whichever format you like MYSQL, EXCEL, CSV, XML etc. All you need to do is suggest the website from where you require the data.

So whether your business is big or small you can rely on these web scraping services for getting different types of data scraping. With web scraping you can even know the upcoming market and trends. You can even assume the strategies and plans of your competitor. This helps to take important decision at an appropriate time. This is an important step in any business whether it is big or small. Some of the companies even offer free trial service offer. You don’t need to make the payment in advance. When the work is done and if you are completely satisfied only then you need to do the payment.

Most of the companies use advanced data scraping tools and provides quality services. So you can be assured that the money you are paying is worthwhile. The information that you give to them will be kept strictly confidential. You can absolutely trust these companies for your business requirements.

To discuss web data scraping requirement, email at info@www.web-scraping-services.com.

Source Url :-http://3idatascraping.weebly.com/blog/benefits-with-web-data-scraping-services