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$5 USD / hodinu
Pochází z INDIA
chennai, india
$5 USD / hodinu
Aktuálně je zde 9:17 odp.
Připojil se července 3, 2021
1 Doporučení

Navin Raja K.

@navinfeb15

monthly-level-three.svg 5,0 (8 recenze)
3,6
3,6
100%
100%
$5 USD / hodinu
Pochází z INDIA
chennai, india
$5 USD / hodinu
90 %
Úspěšně realizované projekty
100 %
V rámci rozpočtu
100 %
Včas
6 %
Poměr opětovného zaměstnání

Web Scraping Expert | Automation | Python

Hello, I'm an independent freelancer specializing in Python development, Web Scraping, and Data Mining. With a strong emphasis on Python development, I am committed to delivering accurate and timely solutions tailored to your needs. I look forward to the opportunity to contribute to your projects. If you have any questions, feel free to reach out.
Freelancer Web Scraping Specialists India
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Portfolio

11813219
The project consists of two Python scripts: "Course Scraper" and "Course Details Scraper". The aim of the project is to gather and process course information from a specific API endpoint provided by UCAS (Universities and Colleges Admissions Service). The "Course Scraper" fetches basic course information for each university from the API, processes the data, and writes it to a JSON file named courses_data.json. Subsequently, the "Course Details Scraper" takes the course IDs from the generated JSON file, retrieves detailed information about each course from the API, processes the data, and appends it to another JSON file named courses_details.json. The project is designed to provide users with an automated way to gather comprehensive information about university courses, facilitating easier access to crucial data for students, educators, and researchers.
University courses scraper
11809589
For a project requiring meticulous data extraction and compilation, I was tasked with gathering specific text details from individual web pages and consolidating them into a single spreadsheet. The goal was to create a comprehensive dataset of 600 schools associated with the U.S. Interscholastic Sailing Association (USSAILING) and its seven districts. The information included various fields such as school name, district, address, contact details, and administrative personnel. To achieve this, I developed a Python script leveraging libraries like BeautifulSoup for web scraping and Requests for HTTP requests. The script iterated through the school pages listed on the USSAILING districts page, extracting relevant data fields from each school's webpage. With careful attention to detail, I ensured accurate extraction of information by targeting specific HTML elements corresponding to the required fields. The extracted data was then structured into a CSV (Comma-Separated Values) file and a
Comprehensive School Data to Scrape
For a project requiring meticulous data extraction and compilation, I was tasked with gathering specific text details from individual web pages and consolidating them into a single spreadsheet. The goal was to create a comprehensive dataset of 600 schools associated with the U.S. Interscholastic Sailing Association (USSAILING) and its seven districts. The information included various fields such as school name, district, address, contact details, and administrative personnel. To achieve this, I developed a Python script leveraging libraries like BeautifulSoup for web scraping and Requests for HTTP requests. The script iterated through the school pages listed on the USSAILING districts page, extracting relevant data fields from each school's webpage. With careful attention to detail, I ensured accurate extraction of information by targeting specific HTML elements corresponding to the required fields. The extracted data was then structured into a CSV (Comma-Separated Values) file and a
Comprehensive School Data to Scrape
11755138
University courses scraper
11813219
The project consists of two Python scripts: "Course Scraper" and "Course Details Scraper". The aim of the project is to gather and process course information from a specific API endpoint provided by UCAS (Universities and Colleges Admissions Service). The "Course Scraper" fetches basic course information for each university from the API, processes the data, and writes it to a JSON file named courses_data.json. Subsequently, the "Course Details Scraper" takes the course IDs from the generated JSON file, retrieves detailed information about each course from the API, processes the data, and appends it to another JSON file named courses_details.json. The project is designed to provide users with an automated way to gather comprehensive information about university courses, facilitating easier access to crucial data for students, educators, and researchers.
University courses scraper
11809589
For a project requiring meticulous data extraction and compilation, I was tasked with gathering specific text details from individual web pages and consolidating them into a single spreadsheet. The goal was to create a comprehensive dataset of 600 schools associated with the U.S. Interscholastic Sailing Association (USSAILING) and its seven districts. The information included various fields such as school name, district, address, contact details, and administrative personnel. To achieve this, I developed a Python script leveraging libraries like BeautifulSoup for web scraping and Requests for HTTP requests. The script iterated through the school pages listed on the USSAILING districts page, extracting relevant data fields from each school's webpage. With careful attention to detail, I ensured accurate extraction of information by targeting specific HTML elements corresponding to the required fields. The extracted data was then structured into a CSV (Comma-Separated Values) file and a
Comprehensive School Data to Scrape
For a project requiring meticulous data extraction and compilation, I was tasked with gathering specific text details from individual web pages and consolidating them into a single spreadsheet. The goal was to create a comprehensive dataset of 600 schools associated with the U.S. Interscholastic Sailing Association (USSAILING) and its seven districts. The information included various fields such as school name, district, address, contact details, and administrative personnel. To achieve this, I developed a Python script leveraging libraries like BeautifulSoup for web scraping and Requests for HTTP requests. The script iterated through the school pages listed on the USSAILING districts page, extracting relevant data fields from each school's webpage. With careful attention to detail, I ensured accurate extraction of information by targeting specific HTML elements corresponding to the required fields. The extracted data was then structured into a CSV (Comma-Separated Values) file and a
Comprehensive School Data to Scrape
11755138
University courses scraper

Recenze

Změny byly uloženy
Zobrazeno 1 - 5 z 8 recenzí
Filtrovat recenze podle:
5,0
$400,00 USD
Scraping Google Places Reviews and Images
Highly Recommended. Navin know what to do, got on with the job and got the job sorted. Highly recommended.
Python
Web Scraping
Data Mining
Scrapy
+1 dalších
V
Pochází z Vaneet G.
@vaneetgupta
•
před 7 dny
5,0
₹2 000,00 INR
Comprehensive Website Scraper Development
I hired Mr. Navin K to extract smartphone brand details, and I must say, they did a fantastic job! Their attention to detail and efficiency in extracting the data exceeded my expectations. I'm impressed by their professionalism and the quality of their work. I highly recommend Navin for any data-related projects. Thank you for your outstanding contribution!"
Excel
Web Scraping
Data Mining
Data Scraping
Avatar uživatele
Pochází z Akil D.
@akildosani786
•
před 27 dny
5,0
₹7 000,00 INR
Store Locator Information Web Scraping
Good Work and will work with again.
Data Entry
Excel
Web Scraping
Web Search
Data Mining
R
Pochází z Rajesh S.
@RajeshSakhrani
•
před 30 dny
5,0
$30,00 USD
Schools scraped for all districts
I got exactly what I asked for, which fortunately, was what I needed!
Python
Web Scraping
Data Mining
Scrapy
+1 dalších
S
Pochází z Bob M.
@sailguy
•
před měsícem
5,0
$20,00 USD
Python Product Checker Script
yababa dabba doo approve
Python
Software Architecture
W
Pochází z Harrison Terence W.
@Wynne01
•
před 2 měsíci

Zkušenosti

Programmer

Cognizant
říj 2022 - Současnost
Frontend Development: Experienced in creating dynamic and responsive websites using HTML, CSS, and JavaScript. Graphic Design using Photoshop: Skilled in creating visually stunning designs for branding, advertising, and digital media using Adobe Photoshop. Proficient in image editing, retouching, and manipulation techniques. Skills: Django · Front-End Development · Adobe Photoshop · Articulate Storyline · Python (Programming Language)

Software Engineer Intern

Lapis Data Analytics
zář 2021 - říj 2021 (1 , 2 dny)
Skills: NumPy · pandas · Selenium · Python (Programming Language) · Web Scraping

Vzdělání

Bachelor of Computer Applications - BCA, Computer Applications

India 2018 - 2021
(3 roky)

Kvalifikace

Python for Data Science

IBM
2020
https://www.credly.com/badges/3c749b72-6cf5-4cce-8e67-2a97d658c64d/linked_in_profile

Microsoft Certified: Azure Developer Associate

Microsoft
2022
https://www.credly.com/badges/56541c45-219b-498f-b45f-b974dfe822f7/linked_in_profile

Python: Introduction For Beginners

upGrad
2021
https://www.credential.net/2652b3ba-258d-4115-9667-a6c8924b935e#gs.bb94oe

Kontaktujte Navin Raja K. ohledně vaší práce

Přihlaste se a proberte všechny podrobnosti prostřednictvím chatu.

Ověření

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Python 6
Data Mining 5
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Scrapy 3

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