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You will get Web scraping, Data mining, Data extraction from any website using python


Project details
In this project, I will be providing data scraping and mining services for clients on Upwork. My goal is to assist clients in collecting and extracting relevant data from various sources such as websites, social media platforms, and databases.
What sets me apart in this project is my expertise in web scraping and data mining techniques. I have experience using various scraping tools such as Scrapy and Beautiful Soup, as well as programming languages such as Python and R, to extract and collect data from a wide range of sources. Additionally, I have experience in data mining techniques such as natural language processing and machine learning, which allows me to analyze and extract insights from unstructured data.
Furthermore, I have a good understanding of web technologies and can handle any type of website or platform, whether it's static or dynamic. I am also familiar with the legal and ethical considerations surrounding data scraping, ensuring that all data collection is done in compliance with relevant laws and regulations.
Overall, my goal is to provide clients with accurate and reliable data that will allow them to make informed decisions based on the insights extracted.
What sets me apart in this project is my expertise in web scraping and data mining techniques. I have experience using various scraping tools such as Scrapy and Beautiful Soup, as well as programming languages such as Python and R, to extract and collect data from a wide range of sources. Additionally, I have experience in data mining techniques such as natural language processing and machine learning, which allows me to analyze and extract insights from unstructured data.
Furthermore, I have a good understanding of web technologies and can handle any type of website or platform, whether it's static or dynamic. I am also familiar with the legal and ethical considerations surrounding data scraping, ensuring that all data collection is done in compliance with relevant laws and regulations.
Overall, my goal is to provide clients with accurate and reliable data that will allow them to make informed decisions based on the insights extracted.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$25
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 4 days |
Number of Pages Mined/Scraped | 10 | 45 | 100 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Number of Revisions | 2 | 3 | 4 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10Frequently asked questions
About Waleed
Web Scraping | Data mining | Data extraction expert in python
Riyadh, Saudi Arabia - 12:41 pm local time
With a strong background in Python and related libraries such as pandas, NumPy, and Matplotlib, I have the necessary knowledge and expertise to efficiently and accurately extract data from complex websites, including dynamic and JavaScript-heavy sites. I specialize in developing custom web scrapers and data parsers, as well as scraping automation scripts to help clients streamline their data extraction processes.
Using the latest web scraping techniques and technologies, including XPath, regular expressions, and CSS selectors, I can provide clients with the most efficient and effective web scraping solutions. My attention to detail, strong communication skills, and dedication to client satisfaction ensure that each project is completed on time, within budget, and to the highest standards of quality.
Whether you need data scraping, web crawling, or scraping automation, I am here to help. Let's work together to extract valuable data and insights from the web and take your business to the next level.
Please don't hesitate to contact me with any questions or to discuss your specific needs.
I look forward to working with you!
Steps for completing your project
After purchasing the project, send requirements so Waleed can start the project.
Delivery time starts when Waleed receives requirements from you.
Waleed works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
-Receive the the URL of the website to be scrapped.
Step 2
Receive the the fields of data to be scrapped


