Web Scraping Development Services

Extracting B2C and B2B contact information from company websites, business directories (e.g., Yellow Pages, Yelp), social media platforms, public record databases, and news articles.

Tracking competitor prices, offerings, product availability, and promotions across websites and online marketplaces to build competitive pricing, marketing, stock management, and product development strategies.

Monitoring sentiment across review and social media platforms, news websites, forums, blogs, and other sources to help businesses manage brand reputation and optimize their products and services, and researchers — analyze public opinion or study social phenomena.

Scraping data from credible sources (e.g., government databases, property listings, credit bureaus) to create aggregated platforms for market intelligence, customer and candidate background checks, portfolio management, or other business needs.

Crawling search engines and competitors’ websites to get data on keyword SERP position, featured snippets keywords, backlink anchor text, image alt text, and other information needed to get insights into SEO strategies optimization and online visibility improvement.

Gathering high-volume, multi-source data to train ML/AI models, including those for natural language processing and image recognition. While raw scraped data can’t be used for meaningful AI training due to its chaotic nature, we can clean and consolidate it into accurate data sets.

Optimal for high-volume and high-speed data extraction due to the high scalability of cloud resources.

Best for organizations that avoid third-party data hosting for compliance and security reasons.

We will provide you with a cost-benefit comparison of market-available web scraping software and advise you on the required aspects like improving data quality and accuracy and addressing legal limitations. We can also design an architecture for a one-of-a-kind solution that not only accumulates data but also helps drive insights for informed decision-making.

We can set up and customize the chosen market-available web scraping software, develop custom software components (e.g., for data parsing, timeout handling), or build a fully custom solution with a warehouse, analytics dashboards, and reporting tools.

We can help you reach and maintain the required velocity, availability, and performance of your solution and minimize the likelihood of errors and failures. We will also ensure that your system is compliant with changing regulations.

We set up data cleansing and normalization pipelines to eliminate data noise and errors (e.g., HTML tags mistakenly included in the data set, duplicate data entries, and outliers in product pricing data). We also enable data format standardization (e.g., for units of measurement, naming conventions, dates).

We implement data matching mechanisms fitting for each specific data type. Exact matching is optimal for well-structured data like tabular product listings on ecommerce websites, while fuzzy matching is used for matching data that is prone to variations (e.g., names, addresses). In the case of highly nuanced data variations, we use machine learning for intelligent matching.

We can design web scraping solutions in line with data privacy and IP protection regulations such as GDPR, CPPA, or DMCA. When using automated IP rotation and CAPTCHA-solving techniques to overcome scraping bans, we make sure to comply with the websites' terms and conditions and bandwidth fair usage policies. We also advise our clients on ethical web scraping and maintaining logs of scraping activities to support compliance audits.

We make sure the solution accurately scraps dynamic data like stock prices and news updates, data from carousel sliders, and infinite social media feeds. To do this, we analyze how website content is loaded and displayed and develop mechanisms for dynamic content detection (e.g., headless browsers, interception of proxies). We also implement mechanisms to simulate user interactions like scrolling pages, clicking buttons, and submitting forms.

To enable fast scraping of high-volume data, we go for distributed scraping and parallel processing. We also optimize the code to improve the speed of the scraping scripts. For instance, batching HTTP requests helps minimize page reloads, preventing complete file parsing if only certain page elements are needed.

Our web scraping solutions don't just amass terabytes of data. They clean, normalize, and match it to ensure it can be easily interpreted and used. Scraped data can be arranged in common file formats (e.g., PDF, CSV, JSON, XML) according to the required structure. We can also extend your web scraping software with data analytics functionality or integrate it with your BI & reporting system.