Master of Data Extraction and Automation

I am a skilled web scraper, adept at extracting valuable data from websites with precision and efficiency. With a deep understanding of programming and web technologies, I specialize in using tools like Python, BeautifulSoup, Selenium, and Scrapy to automate the collection of structured data from the web. Whether it's for market research, competitor analysis, content aggregation, or data-driven decision-making, I ensure that all data is gathered ethically and within the boundaries of the site's terms of service. I work across a range of industries, providing insights that power business strategies, reporting, and analysis.
Skills:
Proficient in Python, BeautifulSoup, Selenium, Scrapy, and APIs.
Expertise in parsing HTML, CSS selectors, and XPath.
Data extraction from dynamic, AJAX-based websites.
Handling CAPTCHA, rate limiting, and IP rotation for safe scraping.
Data transformation and cleaning for usability (CSV, JSON, databases).
Understanding of legal and ethical scraping practices.
Automation of recurring scraping tasks and data delivery.

Key Projects:
Created a custom scraper to monitor product prices across e-commerce sites for real-time price comparison.
Developed a news aggregator bot to extract headlines from multiple sources and generate daily reports.
Automated competitor monitoring by scraping financial statements and product launch details from industry leader websites.

Why Work With Me:
I combine technical expertise with a strong sense of data ethics. Whether you're looking for a simple scraper or a complex automation pipeline, I can build a custom solution that fits your needs. My focus is always on delivering clean, structured data that is ready for analysis, while respecting the integrity of the websites being scraped.

Work Terms

1. Project Scope & Requirements:

Every project starts with a clear understanding of the requirements. I work closely with clients to define the scope, data needs, and specific deliverables (e.g., frequency, format, sources, etc.).
I provide an initial consultation to evaluate the feasibility of the project, potential challenges, and provide an estimated timeline.
2. Data Privacy & Compliance:

All scraping activities are carried out ethically and in full compliance with applicable laws and website terms of service.
I respect data privacy regulations (e.g., GDPR, CCPA) and ensure that all scraping is non-intrusive and secure.
Sensitive data will be handled with the utmost confidentiality and integrity.
3. Payment Terms:

Payment is typically based on the complexity and duration of the project. Rates may be hourly or fixed, depending on the agreement.
A 50% upfront deposit is required for larger projects, with the remaining 50% due upon delivery of the final data.
I offer transparent pricing based on factors such as project size, difficulty, data volume, and custom requirements.
4. Delivery & Timelines:

Delivery timelines are set at the beginning of each project, and I strive to meet deadlines. Typically, simple scraping jobs take 1-2 days, while more complex or larger-scale scraping projects may take longer.
Data will be delivered in your preferred format (e.g., CSV, JSON, database) and tested for accuracy before submission.
5. Revisions & Adjustments:

Once the initial data is delivered, I allow for a revision period to ensure everything is accurate and as per your requirements.
If there are additional scraping tasks or modifications, they can be discussed and invoiced separately.
6. Maintenance & Ongoing Support:

I offer ongoing support and maintenance for long-term scraping projects. This includes monitoring and updating scrapers for website changes, handling CAPTCHA/anti-scraping measures, and ensuring data accuracy.
Maintenance is available for an additional