The changing landscape of web scraping - promptcloud soars high with solutions for large-scale data collection from complex sites


Posted January 7, 2019 by preetish

As a web crawling company, PromptCloud has seen steady growth in demand for web data over the years; however, in 2018, there was unprecedented demand for managed web scraping service owing to increased demand for web data and complexity of websites.

 
Web data extraction is a technique for collecting huge amounts of data from websites which is conventionally not available in easy-to-download format for further processing. Forward-thinking and data driven companies have been aggregating and mining web data from long time as the web is the largest repository of data.

As a web crawling company, PromptCloud has witnessed steady growth in demand for web data over the years; however, in the last year, there was unprecedented demand for managed web scraping service. There were primarily the following factors that contributed the most:

- The scale at which businesses consume web data has increased by many folds.
- The complexity and dynamic nature of the sites have increased.
- The common nuances of web data scraping has also grown significantly.

The combination of these factors has made web data acquisition difficult for companies without the domain knowledge of web crawling. As a result, more and more companies are turning to fully managed web scraping service providers like PromptCloud to take care of end-to-end data acquisition pipeline.

This helps companies focus on the application of the data without worrying about the data collection aspect while generating immense value in terms of ROI. PromptCloud, as a fully managed service provider innovates and invests resources in novel web crawling techniques so that clients can take the benefit of high quality data. Given below are the primary reasons that make clients of various sizes partner with us for web data delivery:

Fully-managed service: Building and maintaining the crawler to cleaning, normalizing and maintaining the data quality.

Dedicated support: We work with strong SLAs, provide prompt support and deliver more than we promise.

Complete customization: Irrespective of the complexity of the requirement, our crawlers are flexible enough to deliver tailor-made data feed.

Low latency: Our high-performance machines and the optimized crawling techniques make sure that the crawls run smoothly to deliver data as per the timeline.

Highly scalable: Need millions of records on daily basis? We’ve got you covered with our high performance crawling infrastructure that has been honed for a decade.

Upkeep: Our sophisticated monitoring system keeps track of the slightest change in the site structure and alerts engineering team so that swift updates can be pushed.

Owing to the above-mentioned factors, in the last year, PromptCloud doubled up on the gross revenues while increasing the client base by 1.5 times. Some of the prominent clients with whom we partnered last year are the following: a household name in consumer goods space, two top mobile and electronics manufacturers.
With PromptCloud and our portfolio of data solutions, we aim to democratize the access to publicly available data on the web for businesses across the world and help them focus on growth without worrying about data acquisition.

About PromptCloud: PromptCloud is a Bangalore-based company that specializes in custom and large-scale web data extraction and has been operating for more than 9 years. As a data solutions company, PromptCloud has clients from all over the world. Vertically agnostic, clients include several Fortune 500 enterprises, start-ups & SMEs from various sectors like ecommerce & retail, travel & hospitality, finance, healthcare, market research, and analytics.
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If you would like more information about this topic, please email at [email protected]. Follow us on Twitter at @PromptCloud for latest updates.
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Contact Email [email protected]
Issued By PromptCloud, Inc.
Country India
Categories Internet , Software , Technology
Tags big data , business intelligence , data , data extraction , data mining , data science , web crawling , web scraping
Last Updated January 7, 2019