#webdataextractionservices

Leading web data extraction service provider

Navigating today's competitive business landscape presents substantial hurdles. Therefore, the choice of a web data extraction service provider holds paramount importance. At Outsource Bigdata, we provide a gateway to premium data, coupled with automated processes infused with AI capabilities. Our adept team guarantees the precision and dependability of the data extracted, amplifying your decision-making prowess and propelling business expansion. For more visit: https://outsourcebigdata.com/data-automation/web-scraping-services/web-data-extraction-services/

About AIMLEAP

Outsource Bigdata is a division of Aimleap. AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering AI-augmented Data Solutions, Data Engineering, Automation, IT Services, and Digital Marketing Services. AIMLEAP has been recognized as a ‘Great Place to Work®’.

With a special focus on AI and automation, we built quite a few AI & ML solutions, AI-driven web scraping solutions, AI-data Labeling, AI-Data-Hub, and Self-serving BI solutions. We started in 2012 and successfully delivered IT & digital transformation projects, automation-driven data solutions, on-demand data, and digital marketing for more than 750 fast-growing companies in the USA, Europe, New Zealand, Australia, Canada; and more. 

-An ISO 9001:2015 and ISO/IEC 27001:2013 certified  -Served 750+ customers  -11+ Years of industry experience  -98% client retention  -Great Place to Work® certified  -Global delivery centers in the USA, Canada, India & Australia 

Our Data Solutions

APISCRAPY: AI driven web scraping & workflow automation platform

APISCRAPY is an AI driven web scraping and automation platform that converts any web data into ready-to-use data. The platform is capable to extract data from websites, process data, automate workflows, classify data and integrate ready to consume data into database or deliver data in any desired format. 

AI-Labeler: AI augmented annotation & labeling solution

AI-Labeler is an AI augmented data annotation platform that combines the power of artificial intelligence with in-person involvement to label, annotate and classify data, and allowing faster development of robust and accurate models.

AI-Data-Hub: On-demand data for building AI products & services

On-demand AI data hub for curated data, pre-annotated data, pre-classified data, and allowing enterprises to obtain easily and efficiently, and exploit high-quality data for training and developing AI models.

PRICESCRAPY: AI enabled real-time pricing solution

An AI and automation driven price solution that provides real time price monitoring, pricing analytics, and dynamic pricing for companies across the world. 

APIKART: AI driven data API solution hub 

APIKART is a data API hub that allows businesses and developers to access and integrate large volume of data from various sources through APIs. It is a data solution hub for accessing data through APIs, allowing companies to leverage data, and integrate APIs into their systems and applications. 

We all understand the value of data collected by a company and how it can be used to improve product planning, customer retention, marketing, and business development, among other things. We have reached a stage when the internal data created by an organization has become associated with Big Data, thanks to the digital age and increased storage capacity. However, we must recognize that by relying just on internal data, we are neglecting another vital source - online data.

Let's take a look at some of the different ways that web data may be used. Please keep in mind these are all real-world use examples based on customer requirements we've experienced thus far.

1. Pricing Policies

This is one of the most typical E-Commerce use cases. To get the highest margins, it's critical to price items appropriately, which necessitates ongoing examination and modification of the pricing strategy. The first method considers market conditions, customer behavior, inventories, and other factors. Likely, that you're currently using your company's data to create a pricing plan like this. However, because consumers might be price-sensitive, it's also necessary to analyze the prices established by rivals for similar items.

iWeb Scraping’s DaaS solution can deliver data feeds from E-Commerce websites that include product name, kind, variation, pricing, and more. To undertake additional research, you may obtain structured data from your competitors’ websites in your choice format (CSV/XML/JSON). Simply enter the data into the analytics tool, and you're ready to incorporate the price strategies of your competitors into your pricing plan.

This will provide answers to certain key questions, such as: Which goods may command a premium price? Where can we provide a discount without losing money? You may also take it a step further by implementing a sophisticated dynamic (real-time) pricing strategy utilizing our live crawling solution. Aside from that, you may utilize the data flow to analyze and track the product catalogs of your competitors.

2. Reseller Management

Many manufacturers sell through resellers, and in most cases, the resellers are prohibited from selling the items on the same set of e-commerce sites. This guarantees that the vendor is not competing with other sellers for the sale of his or her product. However, manually searching the sites for resellers who are violating the conditions is quite impossible. Aside from that, some illegal vendors may be selling your product on numerous websites.

Web data extraction services can help you streamline the data collecting process so you can search for items and dealers in less time and with greater efficiency. Following that, your legal department can take appropriate action based on the circumstances.

3. Fraud Detection

Last year, Apple discovered that the majority of the chargers and cables marketed as authentic on Amazon were in reality poorly manufactured, with inferior or missing components, defective design, and insufficient electrical insulation. Simply put, buyers were buying counterfeit goods on Amazon because they trusted the company. There's no denying that Apple's brand image was being tarnished by counterfeit accessories.

In such circumstances, web crawling may be utilized to automatically retrieve product data points to detect substantial pricing change and verify the seller's authenticity. This may also be used to guarantee that your channel partners selling your items adhere to the agreed-upon minimum retail price. Prices falling below the MRP might have a detrimental impact on the bottom line. To detect partners that do not adhere to the agreement, near real-time crawls or live crawls can be done.

4. Demand Forecasting

Demand analysis is an important part of product planning and shipment. It provides answers to critical issues such as: Which product will advance quickly? Which will be the slower of the two? To begin, e-commerce companies can evaluate their own sales data to anticipate demand, but it is usually suggested that planning be completed well in advance of the launch. That’s because you won't have to plan after consumers arrive; you'll be prepared with the proper number of items to match demand. Scraping product reviews may assist both e-commerce businesses and manufacturers in gaining a deeper understanding of the market and capitalizing on it.

An online classified site is a terrific location to obtain a good indication of demand. Web crawling may be used to keep track of the most popular items, categories, and listing rates. You may also examine the pattern in relation to various geographical places. Finally, this information may be utilized to prioritize product sales in various categories based on regional demand.

5. Search Ranking for Marketplaces

Many e-commerce businesses offer their products both on their sites and on marketplaces such as Amazon and eBay. A large number of buyers and dealers go to these well-known marketplaces. Because of the large number of vendors on these platforms, it's tough to compete and rank well for a certain search. Multiple aspects (title, description, brand, photos, conversion rate, and so forth) influence search results in these markets, and improvement is required regularly. As a result, using web data extraction to track ranking for chosen keywords for individual items might aid in determining the success of optimization efforts.

6. Campaign Tracking

Many firms are interacting with customers on social media sites like YouTube and Twitter. Consumers are increasingly going to a variety of places to air their grievances. Businesses must now watch, listen to, and act on what customers have to say. You must examine beyond the amount of retweets, likes, and views to see how customers interpreted your words.

This may be accomplished by monitoring forums and social media sites such as YouTube and Twitter for all comments connected to you and your competitor brands. Sentiment analysis may be used to dig further into the data. This will provide you more ideas for future campaigns and will assist you in optimizing your product strategy as well as your customer service plan.

Conclusion

In this blog, we looked at some of the practical applications of online data mining in the e-commerce space. Crawling and retrieving data from the web, may be time-consuming and resource-intensive. To maintain a consistent flow of data, you'll need a strong IT staff with subject understanding, data infrastructure, and monitoring setup (in case the website layout changes).

It won't be out of place to remark that several clients attempted to accomplish this in-house and then came to us when the outcomes fell short of their expectations. As a result, it's best to deal with a specialist Data as a Service provider that can send data from any number of sites in a pre-specified format at the frequency you want. iWeb Scraping manages the whole data collecting process and guarantees that high-quality data is delivered without delay.

iWeb Scraping provides the best data scraping services to businesses across the globe! We have a team of professional and experienced data scraping experts that are familiar with all the methodologies and latest data scraping tools.

Web Scraping Services

Quick, Accurate & Affordable Web data scraping services

When comes to getting appropriate business data, the websites have proved to be rich resources. However, scraping and collating applicable data from the websites is a complex procedure, which calls for skilled resources as well as access to the newest tools. Businesses, which perform this job in-house generally need to spend money to obtain relevant talent and technology. Leveraging the technical experience and expertise of the specialized services is the finest way of getting customized and cost-effective web scraping services. iWeb Scraping provides the best data scraping services to businesses across the globe!

We have a team of professional and experienced data scraping experts that are familiar with all the methodologies and latest data scraping tools. Our team will work as the extension of your in-house team from the state-of-art facility in India. You can easily communicate with them to get customized services with quick turnaround time and this working relationship keeps you in complete control of your outsourcing process. Being a professional data scraping service provider, iWeb Scraping guarantees the best-in-class data scraping services.

What is Web Scraping?

Web scraping or extraction includes “scraping” the Internet as well as collecting and using the data provided on the web pages.

Web scraping permits companies to use unstructured data available on the internet and turn that into well-structured data to get used by different applications, offering important business value.

Web extraction permits companies to use unstructured data available on the internet and turn that into well-structured data to get used by different applications, offering important business value.

Web scraping, also known as data extraction, data scraping, or web data extraction, help converting all the content available online into well-structured data, which can be used by other applications and computers there by making different unique, fun, innovative, useful, apps, uses, and businesses, fueling the dramatic growth of the Internet as well as its indispensability in the everyday lives.

Web Scraping Components

For useful web extraction in consuming an important amount of information, it required to get automated. Certainly, you can do copy-paste of a web page in the Excel spreadsheet and waste hours in formatting that – but it’s not web data extraction as it offers a very limited amount of value.

Web scraping utilizes some core components, steps, and modules to make that helpful. Let’s go through the main web scraping components:

Crawling

This procedure starts at the resource of data (a webpage or website) and “crawls” the sites or websites for the other links, which might match any particular criteria. It is the procedure similar to what the humans use while browsing the Internet – they begin at one website as well as click their way for other sites or pages depending on what catches the eyes or fulfill their objectives.

Scraping

It is the real procedure of collecting the information or data on the webpages visited by a crawler. In this scenario where the human might be doing the scraping, this would be similar to choosing the data and copy that to clipboard.

Extracting

Extraction is the procedure of taking scraped data as well as extracting important data elements out of the mountain of data. This extractor could be scraping names, prices, phone numbers, job descriptions, image information, etc.

Formatting

The data, which has been scrapped needs to become presented back to the additional consumer in the format, which can be implicit by the consumer. A few of the most common data formats include CSV, XML, JSON, etc. All these formats are well-structured and every format comes with its pros & cons that could be read about.

Exporting

Lastly, after all the information has been extracted, scraped, or formatted, it required to get exported or offered to the consumers. The technique of this data delivery could be a web scraping API or an export in the file storage like Amazon S3, DropBox, etc. The option of this method is mainly dependent on the data size and preference of both the parties in the exchange.

Web Scraping Services

The work of creating a procedure for the automated data scraping using the web scraping isn’t precisely complex, however, it has different roadblocks.

A lot of companies have their personal web scraping departments and recently the trends have been to use web scraping services including the trends of using outsourced BPO, IT, and infrastructure services like PaaS, DaaS, SaaS, etc.

The advantages are very important and the influences are similar to the companies that outsource any parts of the operations or utilize AWS or outsource different call centers etc. Different companies are directed to concentrate on the “core competencies” through any management consultant or guru. Web scraping isn’t a key competency for anybody but companies like iWeb Scraping, which specialize in that.