Data Parsing
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33 USD Phone parser in Python
Data ParsingParsed 11,000 phone numbers from the website https://www.bazar.club/ using Python + selenium, and entered the data into CSV.
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4 USD Currency exchange rate parser
Data Parsing#python #webscraping #requests #beautifulsoup4 #beautifulsoup
General description:
This parser extracts information from the NBU website (https://bank.gov.ua/ua/markets/exchangerates) and saves it in the "output" folder (which is created automatically).
…
Data is stored in a .csv format table and has the following appearance:
Currency code,Currency name,Exchange rate
AUD,Australian Dollar,27.0946
...
Technical description:
The parser is divided into functions, making it modular and quick to develop.
The website link and the results folder are defined as separate constants.
To run, you need to install dependencies with the command (it's better to do this in a virtual environment):
pip install -r requirements.txt
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600 USD Remote tech support
Data ParsingProviding remote assistance, resolving software issues in the system, installation, removal
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33 USD Parsing cv.ee
Data ParsingCvParser is a tool for collecting job postings from the cv.ee website.
Features
- Extracts key information
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33 USD A parser for collecting job listings from the CVKeskus website.
Data ParsingParser for extracting job listings from the CVKeskus website.
Functions:
- Retrieves and analyzes job listings from CVKeskus
… - Outputs structured data for further processing
- Easy to customize and extend
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33 USD Parser for extracting and processing job listings from a website
Data ParsingParser for extracting and processing job listings from the Swedish website Arbetsförmedlingen.
Functions
- Retrieves job listings from Arbetsförmedlingen
… - Analyzes and structures job data
- Displays results in a convenient format
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Website parser zdorov-info.com.ua
Data ParsingWebsite parser https://zdorov-info.com.ua
#json #beautifulsoup #Parsing
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11 USD Parser for the number of subscribers of TG channels
Data ParsingParser for the number of subscribers of Telegram channels and the ability to write comments
#Telegram #Parsing
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33 USD Parsing online stores
Data ParsingI have experience in setting up parsing for practically any online store, from small specialized platforms to large marketplaces. I provide the collection of necessary data, including information about products, prices, availability, characteristics, and the preparation of this data for further processing. I am ready to fulfill personalized client requirements — from preparing data in a format convenient for analytics to creating individual solutions that integrate with the business's internal systems.
**Photo and video materials are subject to NDA
#scrapy #beautifulsoup #selenium #python-scraping
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22 USD Writing parsers or parsing products from online stores
Data ParsingParsing products from online stores Excel, XML, Json
Price from 1000 UAH. The final price depends on the complexity of the site and the quantity.
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89 USD Scrape the Steam site
Data ParsingWebsite https://store.steampowered.com/
All games in Ukrainian and English (regions Ukraine and USA), except for adult games (sex content).
… Soundtracks, programs, and other content are not needed, only games.
Each category contains a subcategory, for example, Arcade, Casual, Open World, Shooters, and many others.
There is no list of links for parsing, it needs to be collected independently. The website has links to all categories and different operating systems.
1. The data should be in the form of json files (100 mb each), so that it can be uploaded to a mysql database for our structure using a script.
2. The first file consists of two sections: "categories" and "apps".
- "categories" contains an array of objects, which include "title" (category/section name) and link (full link to the category/section)
- "apps" contains an array of objects, which include all information about the application.
Each subsequent file does not contain the separation into "categories" and "apps", as the entire list of categories is in the first file. Further, only information about the applications.
3. The structure of the objects contained in the "apps" array:
link - Full link to the application/game
name_company - Developer
company_link - Full link to the developer
title - Application/game title
content - Description of the application/game (text description and all technical information: version, price, updates, languages, etc.)
categories - All categories to which the application/game belongs, for example ['Indie', 'Strategy']
rated - Age restrictions
update - Last update of the application/game
reviews - Number of reviews for the application/game
rating - Application rating
price - Cost (price)
size - Size of the application (megabytes)
compatibility - Compatibility (Windows, MacOS, Linux, SteamOS, etc.), for example ['Windows', 'macOS']
logo_image - Link to the image from the page - Logo of the application/game
logo_path - Name of the image from the page - Logo of the application/game
all_image - Link to the image from the page - “screenshots” of the application/game (first 3 screenshots, if there are no images, then such a game is skipped)
all_image_path - Name of the image from the page - “screenshots” of the application/game
3. For these files, we need a folder:
- With images (logo of the application/game + images from the application/game page)
In summary, we need to have:
- 1.json, 2.json, 3.json... - files with all information about all categories and applications/games
- images_1, images_2, images_3... - folders with images from the application/game pages, can be divided into 5 gb each
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9 USD Parsing parser, scraping, exhibitor list CPHI 2024
Data Parsing#ParsingCPHI2024
#DataScrapingCPHI
#ExhibitorListCPHI
#WebScrapingCPHI
… #DataMiningCPHI
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#ExhibitorAnalyticsCPHI
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#SecurityExpo2024
#ExhibitorTrackingCPHI
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