Scalable Extracting Solutions
Optimize Your Data Extraction Process
Experience faster alternatives for scraping data from the web for projects of even the largest scale with Smart Web Tech's experienced services spanning over a decade.
We Crawl Through The Web To Extract The Data You Need
We process your requests to make available the relevant data that will help you in your business analysis and decision-making. The difference between your present position and your successful advancement is one informed decision. Utilize the benefits that Big Data can offer through our custom/hosted scraping services.
Web Scraping Services
Crawling millions of web pages with Smart Web Tech’s automated web scraping solution saves you the time and manpower required in manual operations. We produce a simplified format of the raw data harvested. The data collected gives you an upper hand in monitoring competitor prices, tracking market trends, and identifying prospects.
Mobile Apps Scraping Services
For the most relevant data availability, we offer mobile app scraping services for Android and iOS devices. Our team works on extracting the most precise data. This helps a business analyze users’ behavior towards a certain product based on their reviews and engagement patterns. This also enables you to check user activity and identify rising trends.
Hosted Crawling Solutions
As an experienced hosted crawling service provider, we can significantly rebuild or update your existing crawlers for data scraping. We can also build and set up completely new models from scratch tailored to your business requirements. We monitor fail-safe measures to ensure that the scraping job is performed according to the schedule.
Python Scrapy Consulting
Our data mining engineers work towards developing scripts and hosting them on specific servers using Python’s data scraping framework, Scrapy. It facilitates ease in monitoring your scrapers, watching for log errors, and configuring health checks. We provide you with a complete application framework for extracting useful data on the web.
Our Data Scraping Process
Planning and Requirements Gathering
Define the goals and objectives of the data scraping project, identify the sources of data, and determine the specific data points to be extracted.
Data Collection and Extraction
Implement tools and techniques to gather data from the identified sources, utilizing web scraping, APIs, or other methods to extract the desired information.
Data Cleaning and Processing
Cleanse and preprocess the extracted data to remove any inconsistencies, errors, or irrelevant information, ensuring that the data is structured and formatted correctly for analysis.
Analysis and Visualization
Analyze the cleaned data to derive insights and patterns, and visualize the findings using charts, graphs, or other visualization techniques to facilitate interpretation and decision-making.