Instagram Hashtag Analytics Scraper
Pricing
Pay per event
Instagram Hashtag Analytics Scraper
Analyze Instagram hashtags at scale. Get total post counts, average likes, comments, views, top-performing posts with engagement data, related keywords, and top creators for any hashtag. Compare multiple hashtags side by side for content strategy and trend research. No login required.
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Pay per event
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ParseForge
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๐ท๏ธ Instagram Hashtag Analytics Scraper
๐ Analyze Instagram hashtags at scale. Total post counts, average engagement, top posts, related keywords, top creators. Side-by-side hashtag comparison. No login.
๐ Last updated: 2026-05-09 ยท ๐ 20+ fields per hashtag ยท ๐ Side-by-side hashtag comparison ยท ๐ซ No auth required
Pull live hashtag analytics from Instagram for content strategy, trend research, and brand campaigns. The actor accepts a list of hashtags and returns one structured record per hashtag with total post count, average likes/comments/views, top-performing posts with engagement, related keywords, and top creators using the tag. Built for content marketers, agencies, brand teams, and researchers who need apples-to-apples hashtag comparisons.
Every run fetches data live so you get the current state of Instagram at run time. Records include total posts, average engagement metrics, top-performing post URLs and engagement counts, related hashtag suggestions, and the top creators using the hashtag.
| ๐ฅ Built for | ๐ฏ Primary use cases |
|---|---|
| Content marketers | Pick high-volume, high-engagement hashtags |
| Brand and social teams | Track campaign hashtag performance |
| Influencer-marketing | Find creators using your target hashtags |
| Agencies | Build hashtag strategies for client brands |
| Researchers | Study trending topics and content velocity |
| App developers | Power hashtag-discovery tools |
๐ What the Instagram Hashtag Analytics Scraper does
- ๐ท๏ธ Multi-hashtag input. Pass a list of hashtags (without
#) for side-by-side analysis. - ๐ Aggregate metrics. Total post count, average likes, average comments, average views.
- โญ Top posts. Top-performing posts ranked by engagement.
- ๐ Related keywords. Hashtags Instagram associates with the input.
- ๐ค Top creators. Top creators using the hashtag.
- ๐ Comparison-ready. Same metrics across all input hashtags for ranking.
The scraper walks Instagram's hashtag pages, fetches engagement metrics, and pushes one structured record per hashtag to the dataset.
๐ก Why it matters: picking the right hashtag lifts post reach by orders of magnitude but Instagram doesn't expose comparison metrics in its UI. A live, structured pull beats manual lookup for content strategy and trend research.
๐ฌ Full Demo
๐ง Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations.
โ๏ธ Input
| Field | Type | Name | Description |
|---|---|---|---|
| hashtags | array | Hashtags | Required. List of hashtags (without #). Example: travel, food, photography. |
| maxItems | integer | Max Items | Free users: limited to 10 hashtags (preview). Paid users: optional, max 1,000,000. |
Example 1. Travel-niche hashtag comparison.
{"hashtags": ["travel", "wanderlust", "travelphotography", "explore", "vacation"],"maxItems": 5}
Example 2. Food-niche hashtag comparison.
{"hashtags": ["foodie", "foodporn", "instafood", "homemade", "yummy"],"maxItems": 5}
โ ๏ธ Good to Know: pass without the
#symbol. Same hashtags returned in the same input order so you can do clean comparisons.
๐ Output
The dataset returns one structured record per hashtag. Each record carries identifiers, total post count, average engagement, top posts, related hashtags, top creators, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.
๐งพ Schema
| Field | Type | Example |
|---|---|---|
| ๐ท๏ธ hashtag | string | travel |
| ๐ totalPosts | number | 658000000 |
| โค๏ธ averageLikes | number | 1245 |
| ๐ฌ averageComments | number | 42 |
| ๐๏ธ averageViews | number or null | 8500 |
| โญ topPosts | array | [{"postUrl":"...","likes":...,"comments":...}] |
| ๐ relatedHashtags | array | ["wanderlust", "travelgram", "explore"] |
| ๐ค topCreators | array | [{"username":"natgeo","followers":...}] |
| ๐ hashtagUrl | string (url) | https://www.instagram.com/explore/tags/travel/ |
| ๐ scrapedAt | ISO datetime | 2026-05-09T12:00:00.000Z |
๐ฆ Sample records
1. High-volume hashtag
{"hashtag": "travel","totalPosts": 658000000,"averageLikes": 1245,"averageComments": 42,"averageViews": 8500,"topPosts": [{"postUrl": "https://www.instagram.com/p/ABC123/", "likes": 285000, "comments": 4500},{"postUrl": "https://www.instagram.com/p/DEF456/", "likes": 215000, "comments": 3200}],"relatedHashtags": ["wanderlust", "travelgram", "explore", "adventure", "photography"],"topCreators": [{"username": "natgeo", "followers": 290000000},{"username": "earthpix", "followers": 24000000}],"hashtagUrl": "https://www.instagram.com/explore/tags/travel/","scrapedAt": "2026-05-09T12:00:00.000Z"}
2. Niche hashtag with strong engagement
{"hashtag": "homemadebread","totalPosts": 1200000,"averageLikes": 285,"averageComments": 18,"averageViews": null,"topPosts": [{"postUrl": "https://www.instagram.com/p/GHI789/", "likes": 18500, "comments": 420}],"relatedHashtags": ["sourdough", "breadbaking", "homebaking", "artisanbread"],"topCreators": [{"username": "breadbaker", "followers": 285000}],"hashtagUrl": "https://www.instagram.com/explore/tags/homemadebread/","scrapedAt": "2026-05-09T12:00:00.000Z"}
3. Sparse record (low-volume hashtag)
{"hashtag": "veryniche2026","totalPosts": 42,"averageLikes": 8,"averageComments": 1,"topPosts": [],"relatedHashtags": [],"topCreators": [],"hashtagUrl": "https://www.instagram.com/explore/tags/veryniche2026/","scrapedAt": "2026-05-09T12:00:00.000Z"}
โจ Why choose this Actor
| Capability | |
|---|---|
| ๐ฏ | Built for the job. Scoped specifically to hashtag analytics so you skip the parser engineering entirely. |
| ๐ | Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines. |
| โก | Fast. Optimized request patterns return results in seconds, not minutes. |
| ๐ | Always fresh. Every run pulls live data, so the dataset reflects Instagram as of run time. |
| ๐ | No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage. |
| ๐ก๏ธ | Reliable. Battle-tested across many runs and edge cases, with graceful error handling. |
| ๐ซ | No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. |
๐ Production-grade structured hashtag data without the engineering overhead of building and maintaining your own scraper.
๐ How it compares to alternatives
| Approach | Cost | Coverage | Refresh | Filters | Setup |
|---|---|---|---|---|---|
| โญ Instagram Hashtag Analytics Scraper (this Actor) | $5 free credit, then pay-per-use | Public hashtags | Live per run | Multi-hashtag side-by-side | โก 2 min |
| Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | ๐ข Days to weeks |
| Paid hashtag-research tools | $$$ monthly per seat | Vendor-defined | Periodic | Vendor-defined | โณ Hours |
| Manual checks | Hours per check | Limited | Stale | Manual | ๐ Variable |
Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.
๐ How to use
- ๐ Sign up. Create a free account with $5 credit (takes 2 minutes).
- ๐ Open the Actor. Go to the Instagram Hashtag Analytics Scraper page on the Apify Store.
- ๐ฏ Set hashtags. Add a list of hashtags to compare and maxItems.
- ๐ Run it. Click Start and let the Actor collect your data.
- ๐ฅ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.
โฑ๏ธ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.
๐ผ Business use cases
๐ Beyond business use cases
Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
๐ Automating Instagram Hashtag Analytics Scraper
This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.
- Node.js - call it via the Apify JS SDK.
- Python - call it via the Apify Python SDK.
- REST - hit it directly through the Apify v2 API.
Schedules. Use Apify Scheduler to capture daily snapshots of hashtag metrics. Combine with the Apify dataset diff tools to track trending hashtag growth.
โ Frequently Asked Questions
๐ Integrate with any app
Instagram Hashtag Analytics Scraper connects to any cloud service via Apify integrations:
- Make - Automate multi-step workflows
- Zapier - Connect with 5,000+ apps
- Slack - Get run notifications in your channels
- Airbyte - Pipe results into your warehouse
- GitHub - Trigger runs from commits and releases
- Google Drive - Export datasets straight to Sheets
You can also use webhooks to trigger downstream actions when a run finishes.
๐ Recommended Actors
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- ๐ธ Instagram Profile Scraper - Profile data, follower counts
- ๐ฌ Instagram Reel Scraper - Reels from any public profile
- ๐ Instagram Search Scraper - Search Instagram by keyword
- ๐ฑ TikTok Video Scraper - TikTok videos with engagement
๐ก Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.
๐ Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.
โ ๏ธ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Meta or Instagram. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and content-marketing use. Users are responsible for compliance with Instagram's Terms of Service and applicable law.