Peaker Soft is a technology company delivering AI, web and software solutions that move businesses into the future. We build LLM-powered intelligent systems, modern web/mobile apps and data automation.

112 Capitol Trail Suite A575, Newark DE 19711, USA

Talaytepe Mah. 4001/1 Sok. No:3B-21, Kayapınar/Diyarbakır 21070

iletisim[at]peakersoft.net
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Peaker Soft

Web Scraping & Web Crawling

Home Web Scraping & Crawling | Peaker Soft

Web Scraping
& Web Crawling

We build large-scale web scraping and crawling systems that turn the open web into reliable, structured data. This data feeds the pipelines behind modern AI: LLM training and fine-tuning corpora, retrieval-augmented generation (RAG) knowledge bases, and continuously refreshed market intelligence. Our team designs custom scrapers, distributed crawlers, and robust parsing that handle dynamic pages, anti-bot measures, and changing site structures. We clean, deduplicate, and normalize the output, then deliver it through APIs, files, or straight into your data warehouse. Everything is done ethically and legally, respecting robots.txt, rate limits, and terms of service, so you gain a dependable data advantage without the compliance risk.

  • Custom Scraper Development
  • Large-scale Web Crawling
  • Data Parsing and Structuring
  • API Integration
  • Data Cleaning and Normalization
  • Scheduled Data Updates
  • Proxy Management
  • LLM Training & RAG Datasets

How we work

Website Analysis.

Analyzing target sites for structure, data points, and legal and robots.txt constraints.

Scraper Development.

Building custom scrapers and distributed crawlers that handle dynamic pages and anti-bot measures.

Data Extraction.

Running crawls at scale with proxy rotation and rate limiting to collect raw data reliably.

Data Processing.

Cleaning, deduplicating, and structuring data into pipeline-ready and LLM/RAG-ready formats.

Data Delivery.

Delivering processed data via APIs, files, or straight into your data warehouse.

Maintenance.

Monitoring for site changes and keeping scrapers and datasets refreshed on schedule.

Frequently Asked Questions About Web Scraping & Crawling

We can scrape a wide variety of websites, including e-commerce platforms, social media sites, news portals, job boards, real estate listings, and more. Our team is experienced in handling different website structures and complexities. We always ensure that our scraping activities comply with the website's terms of service and respect robots.txt files.
Web scraping can benefit your business in numerous ways: 1) Market intelligence and competitor analysis. 2) Price monitoring and optimization. 3) Lead generation and sales prospecting. 4) Content aggregation for various purposes. 5) Sentiment analysis and brand monitoring. 6) Research and data collection for various industries. 7) Real-time data for decision-making. 8) Building training corpora and RAG knowledge bases for AI and LLM applications. The specific benefits will depend on your industry and business objectives.
We use a variety of technologies for web scraping, including Python with libraries like Scrapy, BeautifulSoup, and Selenium for browser automation. For large-scale crawling, we might employ distributed systems using technologies like Scrapy Cloud or AWS. We also use proxies and IP rotation services to manage access and avoid blocking. Our choice of technology depends on the specific requirements of each project, such as the scale of data collection, the complexity of the target websites, and the need for real-time data.
Web scraping itself is a neutral technology and its legality depends on how it's used. We ensure our practices are ethical and legal by: 1) Respecting robots.txt files and website terms of service. 2) Not overloading servers with requests. 3) Avoiding scraping of personal or sensitive information. 4) Only scraping publicly available data. 5) Respecting copyright and intellectual property rights. 6) Obtaining permission when necessary. We always advise our clients on the legal aspects of their specific scraping projects and ensure compliance with relevant laws and regulations.
Website changes are a common challenge in web scraping. We address this through: 1) Regular monitoring of target websites for changes. 2) Implementing robust error handling and reporting in our scrapers. 3) Using flexible selectors that can adapt to minor changes. 4) Employing machine learning techniques for more resilient scraping. 5) Maintaining a quick response team to update scrapers when significant changes occur. 6) Offering maintenance packages to ensure continuous data flow. Our goal is to minimize disruptions and quickly adapt to any changes in website structure.

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