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Discover reviews on "instagram scraper" based on Reddit discussions and experiences.

Last updated: September 30, 2024 at 12:04 AM
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Summary of Reddit Comments on Instagram Scraper

Tools and Methods for Instagram Scraping

  • Selenium: Users recommend using Selenium for scraping Instagram. "Probaj sa undetected Selenium."

    • Pros: Can pass most detections, even Cloudflare. Allows for automation.
    • Cons: Requires constant updating, can be a tedious task. Might lead to bans if not used carefully.
  • Insta Insight Chrome Extension: Mentioned as a tool for analyzing Instagram Reels and competitor strategies.

  • Gallery-dl: A tool recommended for scraping content from various websites, including Instagram.

    • Pros: Versatile for scraping images.
    • Cons: May not offer specific Instagram scraping functionalities.
  • Instaloader: Another tool that works well for scraping Instagram.

    • Pros: Provides effective scraping functionalities.
    • Cons: Limited mention and details in the comments.
  • Requests and Requests-HTML: Suggested for scraping data without using Selenium.

    • Pros: Offers an alternative to Selenium for scraping.
    • Cons: May pose challenges if the target site uses JavaScript for rendering.

Third-Party Services and APIs

  • Mention of using Rapid API or Apify for scraping Instagram data.

    • Pros: Can provide ready-made solutions for scraping tasks.
    • Cons: Limited details on the specific functionalities offered.
  • Rapid API Instagram Bulk Scraper: Recommended as a third-party service for scraping Instagram data.

    • Pros: Offers bulk scraping capabilities.
    • Cons: Exact features and limitations not detailed in the comments.

Legal Considerations

  • Caution regarding legality: Mention that scraping data from EU citizens is illegal.

Other Recommendations

  • Mention of the Viralyze AI app as a promising tool for Instagram analytics.
  • Reference to a tutorial and source code for scraping Instagram successfully.
  • Caution against the need for a scraper, suggesting other sources like pexels.com for large photo datasets.
  • Suggestion to consider using an API provided by the platform first before resorting to scraping methods.
  • Offer to help with scraping TikTok data without using third-party APIs.

Conclusion

Users provided a range of tools, services, and methods for scraping data from Instagram, highlighting the pros and cons of each approach. These options include using Selenium for automation, specific tools like Gallery-dl and Instaloader, third-party services like Rapid API, and legal considerations when scraping data. Additionally, suggestions for exploring public APIs, alternative sources for data, and recommendations for TikTok scraping were also provided.

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