You will get Web Automation & Data Scraping with Python | Custom Scripts
Project details
Unlock the power of data with my professional web scraping services!
I specialize in creating Python-based custom scripts to extract valuable data from websites efficiently and accurately. With expertise in tools like BeautifulSoup, and Selenium, I deliver tailored solutions to meet your specific needs.
Whether you need product information, contact details, or large datasets, I ensure clean, organized, and ready-to-use data in your desired format (Excel, CSV, JSON, etc.). My services are fast, reliable, and 100% customizable to your project requirements.
Let me help you automate data extraction and turn raw data into actionable insights!"
I specialize in creating Python-based custom scripts to extract valuable data from websites efficiently and accurately. With expertise in tools like BeautifulSoup, and Selenium, I deliver tailored solutions to meet your specific needs.
Whether you need product information, contact details, or large datasets, I ensure clean, organized, and ready-to-use data in your desired format (Excel, CSV, JSON, etc.). My services are fast, reliable, and 100% customizable to your project requirements.
Let me help you automate data extraction and turn raw data into actionable insights!"
Data Tool
PythonWhat's included $50
These options are included with the project scope.
$50
- Delivery Time 2 days
- Number of Pages Mined/Scraped 10
- Number of Sources Mined/Scraped 1
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$10
Additional Page Mined/Scraped
(+ 1 Day)
+$3
Additional Source Mined/Scraped
(+ 1 Day)
+$10
Additional Revision
+$7.50About Ismail
Computer Engineer | AI, Computer Vision, Python, Django, Javascript
Izmir, Turkey - 9:24 am local time
Professional Skills
• Programming Languages: Python, Javascript, Java, C#, C
• Frameworks: Django
• Platforms: GIT, Kaggle, Colab, Drive
• Libraries: Tensorflow, Keras, Pytorch, Pandas, Numpy, Matplotlib, Seaborn,
Selenium, Teserract, Scikit Learn, OpenCV, APScheduler, Requests, JQuery,
BeautifulSoup, Pillow
• Databases: MySQL, PostgreSQL
• OS's: Windows, Linux
Work Experience
• 1st Work Experience: 2021-2023
• CRM: Developing and improving the client company's CRM. The
improvements made are as follows;
- Invoice integration,
- SMS integration,
- Central integration,
- Fixing problems in workflows,
- Making new developments related to workflows,
- Logging of database transactions,
- Fixing problems on the payment system,
- Making improvements at frontend,
- Ensuring the interaction of services with the backend and frontend,
- Fixing problems,
- Adding missing functions in the interface,
- Correction of malfunctioning functions or services,
- Developing a rollback system to restore deleted or changed records in
the system,
- Solving problems that occur or may occur in live data,
- Dashboard integration,
- Integration of notifications,
- Assigning processes running in the background to a task and running
these tasks in a queue structure,
- Monitoring of performance problems that occur or may occur. If
resources are the cause of performance problems, tracking these
resources over linux. Improvement of queries if queries are the cause of
performance problems,
- Trying to provide a solution to the customer as soon as possible in case
of a problem that may occur in the system running live,
- Making updates and edits to the database structure
• Captcha Reading: Allows bypassing captchas that are simple, have a
simple color structure, and are understandable.
• Web Scraping: Provides specific data scraping via a special website.
Education
• Bachelor's Degree: Computer Engineering (2015-2019)
• Master's Degree: Computer Engineering (2020-2023)
• Projects
• AI-Mall Customers: Clustering unlabeled data of Mall Customers dataset.
• AI-Fashion-MNIST: Training Fashion-MNIST Dataset with CNN and ANN
deep learning models and comparing the results.
• AI-Steam Game Recommendation: Recommending a game to user on
Steam platform using Australian User Reviews Dataset.
• AI-Auction System: Simulating an auction based system which is based
on AI agents.
• Thesis: Training and comparing the results of Faster R-CNN and YOLO
models which are specific deep learning models about real time object
detection with Caltech Pedestrian Dataset.
Steps for completing your project
After purchasing the project, send requirements so Ismail can start the project.
Delivery time starts when Ismail receives requirements from you.
Ismail works on your project following the steps below.
Revisions may occur after the delivery date.
Initial analysis and confirmation.
We will review the target website(s) with you to ensure feasibility and confirm the scope of work. I will provide a brief plan or timeline for the project.
Developing the web scraping script.
I will create a custom Python script using tools like BeautifulSoup, Selenium or Scrapy to extract the required data.