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

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

Scraping Dynamic Websites: How We Tackle the Problem

Scraping Dynamic Websites: How We Tackle the Problem

Acquiring data from the web for business applications has already gained popularity if we look at the sheer number of use cases. Companies have realized the value addition provided by data and are looking for better and efficient ways of data extraction. However, web scraping is a niche technical process that takes years to master given the dynamic nature of the web. Since every website is different and custom coded, it’s not possible to write a single program that can handle multiple websites. The web scraping setup should be coded separately for each target site and this needs a team of skilled programmers.

Web scraping is without doubt a complex trade; however if the target site in question employs dynamic coding practices, this complexity is further multiplied. Over the years, we have understood the technical nuances of web scraping and perfected our modus operandi to to scrape dynamic websites with high accuracy and efficiency. Here are some ways how we tackle the challenge of scraping dynamic websites.

1. Proxies

Some websites have different Geo/Device/OS/browser specific versions that they serve depending on the variables. This could give a great deal of confusion to the crawlers especially while figuring out how to extract the right version. This will need some manual work in terms of finding the different versions provided by the site and configuring proxies to fetch the right version as per the requirement. For geo-specific versions, the crawler is simply deployed on a server from where the required version of the site is accessible.

2. Browser automation

When it comes to websites that use very complex and dynamic code, it’s better have all the page content rendered using a browser first. Selenium can be used for browser automation which will help us do the scraping. It is essentially a handy toolkit that can drive the browser from your favorite programming language. Although it’s primarily used for testing, it can be used for scraping dynamic web pages. It can be used to control a web browser, which is how scraping using selenium is typically done. In this case, the browser first renders the page which will help overcome the problem of reverse engineering JavaScript code to fetch the page content. Once the page content is rendered, it is saved locally to scrape the required data points later. Although this is comparatively easy, there is a high chance of encountering errors while scraping using the browser automation method.

3. Handling POST requests

Many web pages will only display the data that we need after receiving a certain input from the user. Let’s say you are looking for used cars data from a particular geo-location on a classified site. The website would first require you to enter the ZIP code of the location from where you need listings from. This ZIP code must be sent to the website as a post request while scraping. We craft the post request using the appropriate parameters so as to reach the target page that contains all the data points to be scraped.

4. Manufacturing the JSON URL

There are dynamic web pages that use AJAX calls to load and refresh the page content. These are particularly difficult to scrape and extract data from as the triggers that make up the JSON file is difficult to trace. This requires a lot of manual inspection and testing, but once the appropriate parameters are identified, a JSON file that would fetch the target page which includes the desired data points can be manufactured. This JSON file is often tweaked automatically for navigation or fetching varying data points. Manufacturing the JSON URL with apt parameters is the primary pain point with web pages that use AJAX calls.
Bottom-line

Scraping dynamic web pages is extremely complicated and demands deep expertise in the field of web scraping. It also demands an extensive tech stack and well-built infrastructure that can handle the complexities associated with web data extraction. With our years of expertise and well-evolved web scraping infrastructure, we cater to data requirements where dynamic web pages are involved on a daily basis.

Source:https://www.promptcloud.com/blog/scraping-dynamic-websites-web-scraping

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

4 Tools That Makes Web Data Extraction Easy

There is a huge amount of data available on the World Wide Web. Organizations and individuals find this information useful and often have to make use of it for various purposes. Traditionally, web data is retrieved by browsing and keyword searching. These methods are purely intuitive, the searches can return vast amount of unnecessary data, and it can take quite a bit of time before the searchers find what they are looking for. This data is sometimes hard to manipulate and work on as it is done in traditional databases.

But web pages written in mark-up languages like HTML and XHTML contain a wealth of knowledge. They also provide the structures that make data manipulation and analysis so easy. To extract this data some easily usable applications have been built. Though people who know nothing about coding can use some of these applications, it is always advisable to take the help of data extraction experts for help with such work, to obtain best results.

4  Tools to Improve your Web Data Extraction Efforts:

Uipath:

One of the popular web scraping applications is offered by the software automation and application integration company, Uipath. They offer free trials and also live demos for new users and potential customers. They offer website scraping from HTML, XML, AJAX, Java applets, Flash, Silverlight and PDF. Their application has powerful data transformation features and enables deduplication with SQL and LINQ queries.
Once the data has been extracted, it can be exported to various outputs like Microsoft Excel, CSV, .NET DataTable and so on. Automations can be done with web login, navigation, and even filling of forms.
This application is good for non-coders and can even be used to manipulate the interface of another application so that data transfer can take place between the two of them.
The price tag might be a tad high for individual users, but is worth it if you want a fast, accurate and simple application.

Import.io:

 Import.io offers to “instantly turn web pages into data”. They advertise their service saying that the customer does not need plugin, training or setup. Users can create custom APIs and crawl entire websites by using their desktop application. The best part is that no coding knowledge is required. Users can scrap data from an unlimited number of web pages. For the service, each page is a source that holds great potential to source application programming interface.
The extracted data is stored on Import.io’s cloud servers. It can then be downloaded in different formats that include CSV, Google sheets, Microsoft Excel and many more. The generated API enables users to integrate live web data with their own applications, third party analytics and visualization software without much difficulty. Though users do not need much technical skills to operate this service, the extraction reports arrives a good 24 hours after the request has been submitted.

Kimono:

The task of building an API to power applications, models and visualizations using live data and without the benefit of any code is done in seconds by Kimono. The service has a smart extractor. It recognizes patterns in web content. This enables the user to get the data that he or she wants, quickly and visually. The extracted APIs are hosted on a cloud. They are then run as per the schedule that is convenient for the user. While there is no problem with either the speed or the accuracy of Kimono, there is a lack of availability of page navigation, and the system requires some training before it begins to function at full capability.

Screen Scraper:

Like the other above-mentioned services, Screen Scraper works well with HTML and Javascript, extracts data precisely and provides the data in Excel and CSV fomat. However, it requires the user to have some coding skills. Only then can it be used to its optimum functionality. Even though the user will have to shell out a bit of money to use Screen Scraper, the service can handle almost any data extraction task with ease.

Source Url:-https://www.invensis.net/blog/data-processing/4-tools-makes-web-data-extraction-easy/

Primary Information of Online Web Research- Web Mining & Data Extraction Services

Primary Information of Online Web Research- Web Mining & Data Extraction Services

World Wide Web and search engine development and data at our disposal and the ever-growing pile of information provided abundant. Now this information for research and analysis has become a popular and important.

Today, Web search services are increasingly complex. Business Intelligence and web dialogue to give the desired result that the various factors involved.

Researchers from web data web search (keyword of the application) or using the navigation engine specific Web resources can get. However, these methods are not effective. Keyword search returns a large portion of irrelevant data. Since each web page includes many outgoing links to navigate because it is difficult to extract the data too.

Web mining, Web content extraction, mining and Web usage mining Web structure is classified. Mineral content search and retrieval of information on the Web focuses on. Mine use of the extract and analyze user behavior. Structure mining contracts with the structure of hyperlinks.

Web mining services can be divided into three sub-tasks:

Information (RI) Recovery: The purpose of this sub-task to automatically find all relevant information and filter out irrelevant. The so Google, Yahoo, MSN, and other resources to find information such uses various search engines.

Generalization: The purpose of this subtask interested users to explore clustering and association rules, is that the use of data mining methods. Since dynamic Web data are incorrect, it is difficult for the traditional techniques of data mining are applied directly to the raw data.

Data (DV) Verification: The first working with data provided by attempts to discover knowledge. The researchers tested different models, they can imitate and eventually Web information valid for stability.

Software tools for data retrieval for structured data that is used in the Internet. There are so many Internet search engines to help you find a website for a particular issue would have been. Various sites in the data appears in different styles. The expert scraped help you compare the different sites and structures to store data up to date.

And the web crawler software tool is used to index web pages in the Internet, the Internet will move data from your hard drive. With this work, you can browse the Internet much faster to connect. And use the device off-peak hours is important if you try to download data from the Internet. It will take considerable time to download. However, the device with faster Internet rate. There you can download all data from the businessman is another tool called email extractor. The balance sheet, you can easily target the e-mail clients. Every time your product can deliver targeted advertisements to customers. The customer database to find the best equipment.

Web data extraction tool for comparing data from different sites and have to get data from HTML pages. Every day, many sites are hosted on the Internet. It is possible the same day do not look at all the sites.

However, there are more scratch rights are available on the Internet. And some Web sites provide reliable information on these tools. By paying a nominal amount to download these tools.

Source:http://www.sooperarticles.com/business-articles/outsourcing-articles/primary-information-online-web-research-web-mining-38-data-extraction-services-497487.html#ixzz4iGc3oemP

How Web Scraping Software Can be Beneficial For Your Business

How Web Scraping Software Can be Beneficial For Your Business

Web scraping is the process of extracting information from different websites using several coded software programs. Best web scraping software can stimulate the human exploration of the web through different methods including embedding web browsers, Internet Explorer or implementing Hyper Text Transfer Protocol (HTTP).

Web scraping softwares focus on extracting data like product prices, weather information, public records (Unclaimed Money, Criminal records, Sex Offenders, Court records), retail store locations, or stock price movements; in a local database for further use. They can offer several advantages to the business firms by extracting data accurately, productively and in a short time. The other attributes of this efficient tool includes:

#   No Expensive Errors- Web scrapping can eliminate high-priced errors by reducing the demand for human interaction in the data extraction process, no matter how complicated or huge.

#   Automated Data Collection- With an automated data extraction application, you can get accurate information and can eliminate data entry costs.

#   Saves you time- Extracting information manually can be a time consuming process. But, with data harvesting softwares, you can gather the details in a short time and can focus on other core business activities.

#   Innovative Techniques- New characteristics and advanced extraction methods formed are made accessible immediately.

#   Supervisor your competitor's activities- With these web scraping methods, you can easily acquire the information from your competitors, like their products, value, and other essential details as and when updated on their online catalog.

#   No Third party applications- Companies offering best web scraping software services can eliminate the need to buy any specific software.

#   Gain competitive edge- With these extracting tools, you can speedily get vital information; thereby giving you an edge over the competition.

There are many companies offering best web scraping software services at affordable prices. Make your search on the web to get the details of these service providers. Internet is the best medium to get the details on any topic. You can even ask your known ones who have availed these services recently to know his experience with the service providers. Compare the prices offered by different companies to choose the best one that can cover your needs within budget. Web data extracting professionals are expert in harvesting data from different resources by forming non-intrusive customized data scraping solutions. They can take care of the different data extraction needs of the individuals and provide them with raw and accurate data in the short time and by making least effort on their part, thereby allowing them to focus on their core business.

Their efficient and influential web scraping services use proprietary algorithms made to extract and convert unstructured content into structured data(like HTML format) that can be stored and analyzed in a local database.

Hire the best company for web scraping services. These softwares can provide several benefits for your business like online lead generation, weather data monitoring, price comparison with your competition, website change detection, Web content mashup, Web research, and Web data integration.

Get in touch to take the benefits of our exceptional services at cost-effective prices.

Source:http://www.sooperarticles.com/internet-articles/affiliate-programs-articles/how-web-scraping-software-can-beneficial-your-business-1460101.html#ixzz4hmvy0oRL