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  • 33 USD

    Phone parser in Python

    Data Parsing
    Parsed 11,000 phone numbers from the website https://www.bazar.club/ using Python + selenium, and entered the data into CSV.


  • 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


  • 600 USD

    Remote tech support

    Data Parsing
    Providing remote assistance, resolving software issues in the system, installation, removal


  • 33 USD

    Parsing cv.ee

    Data Parsing
    CvParser is a tool for collecting job postings from the cv.ee website.

    Features
    - Extracts key information


  • 33 USD

    A parser for collecting job listings from the CVKeskus website.

    Data Parsing
    Parser 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


  • 33 USD

    Parser for extracting and processing job listings from a website

    Data Parsing
    Parser 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


  • Website parser zdorov-info.com.ua

    Data Parsing
    Website parser https://zdorov-info.com.ua

    #json #beautifulsoup #Parsing


  • 11 USD

    Parser for the number of subscribers of TG channels

    Data Parsing
    Parser for the number of subscribers of Telegram channels and the ability to write comments
    #Telegram #Parsing


  • 33 USD

    Parsing online stores

    Data Parsing
    I 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


  • 22 USD

    Writing parsers or parsing products from online stores

    Data Parsing
    Parsing products from online stores Excel, XML, Json

    Price from 1000 UAH. The final price depends on the complexity of the site and the quantity.


  • 89 USD

    Scrape the Steam site

    Data Parsing
    Website 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


  • 9 USD

    Parsing parser, scraping, exhibitor list CPHI 2024

    Data Parsing
    #ParsingCPHI2024
    #DataScrapingCPHI
    #ExhibitorListCPHI
    #WebScrapingCPHI
    #DataMiningCPHI
    #ScrapingToolCPHI
    #ExhibitorDataCPHI
    #DataAutomationCPHI
    #WebDataExtractionCPHI
    #ExhibitorResearchCPHI
    #EventDataCPHI
    #ScrapingSolutionsCPHI
    #DataInsightsCPHI
    #ExhibitorInsightsCPHI
    #EventScrapingCPHI
    #ExhibitorAnalyticsCPHI
    #DataManagementCPHI
    #ScrapingSecurityCPHI
    #SecurityExpo2024
    #ExhibitorTrackingCPHI
    #DataProcessingCPHI
    #IndustryEventCPHI
    #EventDataAnalysisCPHI
    #SecurityConferenceCPHI
    #ExhibitorMonitoringCPHI
    #DataHarvestingCPHI
    #WebDataMiningCPHI
    #SecurityEssenGermany
    #DataAggregatorCPHI
    #SecurityInnovationCPHI
    #ScrapingTechniquesCPHI
    #DataVisualizationCPHI
    #ExhibitorMappingCPHI
    #WebScrapingToolsCPHI
    #DataExtractionCPHI
    #SecurityEssenResearch
    #ExhibitorProfilingCPHI
    #DataCollectionCPHI
    #SecurityEssenData