How Actowiz Solutions is Redefining Retail Mobile App Scraping?

ByActowiz Solutions

How-Intelligence-Node-is-Redefining-Mobile-App-Scraping-for-Retail.jpg

Introduction

The post-coronavirus pandemic world depends profoundly on mobile apps for its shopping. Research indicates that average smartphone users spend more than 3 hours on phones daily, and one of every five users spends more than 4.5 hours every day looking at the phones! Thinking about the daily average time on mobile phones, it’s no wonder that eCommerce apps are quickly replacing eCommerce sites and becoming the leading shopping channel. To stay ahead in the competition, Actowiz Solutions has introduced a pioneering mobile app scraping solution to accompany its market-tested eCommerce web scraping technology. It’s time to get a closer look at this technology and the procedure behind mobile app scraping:

With two ways you can scrape mobile apps data:

With-two-ways-you-can-scrape-mobile-apps-data.jpg Scenario 1

While composite APIs get open (e.g., Amazon) – In those cases, a smaller setup is associated, but ultimately the extraction does not vary much to the standard sites.

Scenario 2

While composite APIs get encrypted (e.g., Dollar General, HEB, Target, Stop & Shop, etc.). The case has become much more complex and needs specialized mobile app extraction, OCR, and other machine learning methods to get deployed. Here is a brief explanation of Actowiz Solutions’ approach:

Methodology

Phase 1) Recording a mobile navigation/session (using special visual navigation extractors)

Technology consideration: To make the procedure scalable, we use real device clouds and match many devices that use our more intelligent proxy networks.

Technology-consideration.jpg Phase 2) Recognizing product ROI (Region of Interest)

As there are 1+ products in the single frame, extracting text for any particular product is very difficult. If tried, it may lead to mismatched data. To deal with this, we have used Object Detection algorithms as our initial step to getting the ROI of every product, despite how many products are in the single frame.

Input files get passed to YoloV5, a custom fine-tuned for identifying the ROI of the products. The architecture YoloV5 has a benefit over various models due to its quick and precise inference.

The ROI taken from the video is cached in the form of images. The video has certain number of frames within a second that can result in product duplication. To deal with this, we have introduced a deduplication stage in which we could remove some product ROIs which are matching. This further assists in processing data more quickly and effectively.

duplication-To-deal-with-this.gif Phase 3) Recognizing Product Components

Components like pricing, product image, information, etc., are recognized in the given stage (Components might differ depending on an app). YoloV5 is used (different example vs. step 2 above as we require precise level attention to recognize the components)

Components-like-pricing.gif Phase 4) Scraping Components with OCR

In the given stage, we can finish textual extraction as all the details of products have been recognized. A customized OCR framework is used to get a detailed text extraction.

Phase-4-Scraping-Components-with-OCR.jpg Phase 5) Retrieving Final Outputs

The text scraping output and metadata are stored in a database. Here, the data transform to an anticipated client format and becomes ready to get sent/ requested/uploaded using API. Unit tests with quality checks get applied.

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Conclusion

Just because the retail economy is moving further away from old-style brick and mortar to a contemporary, technologically advanced option like As and mobile social commerce and an up-and-coming metaverse, retail requires to get prepared with pioneering AI and analytics to hinge quickly. Actowiz Solutions knows this and provides retailers and brands with the most sophisticated and accurate analytics across the retail landscape. It advances its goals by making solutions like an advanced mobile app extraction. Actowiz Solutions protracts its exclusive technology using a metaverse to extract retail stores, including key platforms like Meta, Roblox, Sandbox, Decentraland, etc.

For more information, contact Actowiz Solutions now! You can also reach us for all your mobile app scraping service and web scraping service requirements.

know more : https://www.actowizsolutions.com/how-actowiz-solutions-is-redefining-retail-mobile-app-scraping.php

We are the leading web data scraping solution company big-scale public data assembly, driven by innovations and higher business standards.

Actowiz is ISO certified Enterprise Crawling service providing company accredited with international quality certifications like ISO 9001:2015 and ISO/IEC 27001:2013 by IAF and IAS.

Actowiz has created enterprise-grade solutions to empower organizations to deliver the correct information from any platform(Mobile Application or Website) from targetted sources to the right people at the right time.

Our Enterprise Web Crawling enables data extraction based on the user's bespoke requirement in any significant volume. It caters to the need of various industries, i.e., eCommerce, Food Delivery, FMCG, BFSI, Data management (Big Data), Online Travel, Real estate, and more.

It emphasizes transforming unstructured web content into high-quality machine-readable data feeds per user requirement, enabling companies to make proactive data-driven decisions.

In our DAAS (Data As A Service) model, we take care of all the data extraction hurdles starting from the various algorithms to overcome the obstacles of IP Blocking, Captcha Intervention, Automatic Delay in web requests, Headerless Browser, Undetected Selenium, bypassing Browser fingerprinting and collecting data after javascript rendering.