FAQs

The main uses of web scraping are to gather publicly available bulk web data and generate valuable strategies to scale businesses. It is generally used for competitor analysis, industry trends, customer sentiments, pricing strategies, etc.

Yes, scraping publicly available data is permitted, but only if you handle it responsibly, following all the legal guidelines and ethical concerns. It's crucial to avoid scraping copyrighted content and sensitive information without consent, promoting a responsible and ethical approach.

To scrape the required data from the target platform, a scraper first visits the URL and examines the HTML code of the web pages. After extracting the required data sets, the scraper organizes them in the format you need: a database, JSON, spreadsheet, or other format.

Scraping APIs is software that helps extract data from a target website by making API calls. It locates the target platform's endpoints to fetch the desired data and store it in a database for analysis.

API wins the game when you need reliability and efficiency in your data, whereas scraping is ideal when you require flexibility and format control. API is more user-friendly as it requires minimal effort to fetch data sets.

Yes, you can scrape mobile app data to gain insights and improve app development strategies. However, to avoid data breaches, it is essential to respect the app's rights, privacy, and ethical considerations.

A data extraction tool obtains and manages data from multiple resources. It streamlines the process of collecting raw data by making it automated, sustainable, and repeated. Generally, it is used for analytics, AI/ML applications, business intelligence, and customer sentiment analysis.

We can unquestionably handle large-scale data extraction projects by employing strategies like parallel processing, batch processing, cloud storage, and distributed systems. We regularly optimize our code and algorithms to meet our clients' expectations.

Depending on the users ' end goal, there are multiple use cases of web scraping for different industries and markets. The top web scraping use cases are retail and ecommerce optimization, revenue management, healthcare and pharmaceutical research, lead generation, customer sentiment, SEO monitoring, supply chain analysis, investment market analysis, event and media monitoring, monitoring real estate market, market and competitor analysis, travel and hospitality strategies, and aggregate dynamic content

Web scraping API can be easily customized to extract data ethically from your target platforms. The data that can be extracted using scraping API can be textual, including product descriptions, news, blog posts, reviews, and comments. Structured Data can include product prices, social media profiles, the stock market, and contact details. The rest depends on your requirements; these can be images, videos, HTML, infographics, or more.

Data scraping solutions are becoming valuable for the majority of industries. Some of the top ones are ecommerce and retail, marketing and advertising, research and development, academic research, real estate, social media, and travel and tourism.

With suitable data scraping tools, you can handle price monitoring, competitive analysis, risk assessment, research, customer behavior analysis, property listings, user engagement, and more.

Many platforms have anti-scraping measures to identify and prevent requests from scraping bots or malicious users. We ensure our software solutions can handle this using various methods like proxies and IP rotation, automated tools to mimic the behavior of a normal browser, captcha-solving tools, and JavaScript rendering.

Ethical compliance is crucial when dealing with personal and sensitive information. When data scraping, we completely balance privacy, security, transparency, and fairness.

Yes, you can easily customize data extraction according to your requirements. However, you must understand the data structure, complexity, tools, and skills required to get custom data extraction solutions. The customization level needed also depends entirely on the tools and techniques used by your scraping service provider.

Once the data is extracted, as required, it can be obtained in structured JSON, XML, XLSX, Paraquet, SQL, and CSV formats. JSON is the most flexible format for businesses, while CSV is a universally accepted format.