To scrape Instagram hashtags, it’s important to understand that Instagram’s official API has strict limitations and scraping directly from their website violates their terms of service. However, if you’re gathering data for research or analysis (non-commercial and ethical use), here are general methods and tools you can use:
1. Using Third-Party Tools or Platforms
Several tools provide hashtag data without the need to build your own scraper:
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Inflact
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Hashtagify
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Display Purposes
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All Hashtag
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RiteTag (by RiteKit)
These services offer trending hashtags, hashtag suggestions by keyword, and engagement metrics.
2. Python-Based Scraping (Unofficial & Risky)
Note: Use responsibly and avoid violating Instagram’s terms of service.
You can use tools like Instaloader or Selenium:
Example using Instaloader
Example using BeautifulSoup + Selenium
3. Hashtag Suggestions via NLP or Data Mining
You can also extract hashtags from Instagram post captions using NLP techniques. Download public posts using tools above, then use re.findall(r"#(w+)", caption) in Python to extract hashtags.
4. Instagram Graph API (For Business Accounts)
If you’re managing a business profile and want hashtag analytics legally:
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Register an app on Facebook Developer
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Use Instagram Graph API’s Hashtag Search and Top Media endpoints
Example API Use
You’ll need:
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A Facebook developer account
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A connected Instagram Business account
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An access token with required permissions (
instagram_basic,pages_read_engagement,instagram_manage_insights, etc.)
Summary
| Method | Difficulty | Legality | Notes |
|---|---|---|---|
| Instaloader | Easy | Risky (Unofficial) | Good for small projects |
| Selenium + BS4 | Medium | Risky (Unofficial) | Complex due to dynamic content |
| Instagram Graph API | Medium | Legal | Business profiles only |
| Third-Party Tools | Easy | Legal | Limited free access |
Let me know if you’d like a ready-to-use script or further help with any of these methods.