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English
$
USD
I will do python web scraping, data mining
About this Gig
Do you need data from websites but copying it manually takes too much time?
I will build a custom web scraping solution using Python, Selenium, and BeautifulSoup to extract the exact data you need.
I can scrape:
Ecommerce product listings
Company databases
Leads and contact details
Job listings
Real estate data
Any publicly available website data
I Can Handle
- Dynamic websites (JavaScript rendering)
- Pagination
- Login required websites
- CAPTCHA handling (basic cases)
- Large-scale data scraping
Delivery Formats
- Excel (.xlsx)
- CSV
- JSON
- Google Sheets
- Database
My Tools
Python | Selenium | BeautifulSoup | Requests | Pandas
I focus on accuracy, clean code, and fast delivery.
Message me first to check the website before ordering.
Technology:
Python
•
Puppeteer
•
Selenium
•
Beautiful soup
•
Pandas
Technique:
Automated
FAQ
What is web scraping?
Web scraping is to scrape data that is publicly available on the website. We scrap data faster by building scripts and automating our process of scraping.
1. What information do you need to start the project?
I need the website URL, the list of data fields you want (e.g., name, email, price, etc.), and the number of pages or records required.
2. What types of websites can you scrape?
I can scrape most public websites including e-commerce stores, directories, business listings, real estate sites, and blogs.
3. Can you scrape websites that require login?
In most cases, I only scrape publicly accessible data. If login is required, please message me first to check feasibility.
4. In what format will I receive the scraped data?
I can deliver data in multiple formats such as Excel (XLSX), CSV, JSON, or any format you prefer.
5. How many records can you scrape?
It depends on the website and complexity. I can scrape hundreds to millions of records depending on the project.
7. Do you scrape emails or contact details?
Yes, if the data is publicly available on the website. I do not collect private or illegal data.
