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Web scrapping using Python

$40/hr Starting at $500

  1. Data Extraction:

    • Structured Data: Extract data into formats like CSV, JSON, or databases.
    • Unstructured Data: Handle and convert unstructured data into usable formats.

  2. Custom Scraping Solutions:

    • Tailored scraping scripts to meet specific needs.
    • Support for various websites, including those with dynamic content (JavaScript-heavy sites).

  3. Handling Anti-Scraping Measures:

    • Techniques to bypass CAPTCHAs and IP blocking.
    • Use of rotating proxies to avoid detection.

  4. Data Cleaning and Processing:

    • Post-extraction data cleaning to remove duplicates and irrelevant information.
    • Data normalization to ensure consistency.

  5. Real-Time Data Scraping:

    • Ability to scrape data at regular intervals for real-time updates.
    • Integration with APIs for seamless data flow.

  6. Compliance and Ethical Scraping:

    • Adherence to legal guidelines and website terms of service.
    • Implementation of respectful scraping practices to minimize server load.

  7. Scalability:

    • Solutions that can scale based on the volume of data required.
    • Ability to handle large-scale scraping projects efficiently.

  8. Data Analysis and Visualization:

    • Basic analysis of scraped data to derive insights.
    • Visualization tools to present data in an understandable format.

About

$40/hr Ongoing

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  1. Data Extraction:

    • Structured Data: Extract data into formats like CSV, JSON, or databases.
    • Unstructured Data: Handle and convert unstructured data into usable formats.

  2. Custom Scraping Solutions:

    • Tailored scraping scripts to meet specific needs.
    • Support for various websites, including those with dynamic content (JavaScript-heavy sites).

  3. Handling Anti-Scraping Measures:

    • Techniques to bypass CAPTCHAs and IP blocking.
    • Use of rotating proxies to avoid detection.

  4. Data Cleaning and Processing:

    • Post-extraction data cleaning to remove duplicates and irrelevant information.
    • Data normalization to ensure consistency.

  5. Real-Time Data Scraping:

    • Ability to scrape data at regular intervals for real-time updates.
    • Integration with APIs for seamless data flow.

  6. Compliance and Ethical Scraping:

    • Adherence to legal guidelines and website terms of service.
    • Implementation of respectful scraping practices to minimize server load.

  7. Scalability:

    • Solutions that can scale based on the volume of data required.
    • Ability to handle large-scale scraping projects efficiently.

  8. Data Analysis and Visualization:

    • Basic analysis of scraped data to derive insights.
    • Visualization tools to present data in an understandable format.

Skills & Expertise

AnalyticsAPIAPI DevelopmentCSV (Comma Separated Values)Data ExtractionProgrammingPythonScrappingSQLWeb DevelopmentWeb Scraping

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