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Instagram Hashtag Analytics Scraper

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Instagram Hashtag Analytics Scraper

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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ParseForge

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🏷️ Instagram Hashtag Analytics Scraper

πŸš€ Analyze Instagram hashtags at scale. Total post counts, average engagement, top posts, related keywords, top creators. Side-by-side hashtag comparison. No login.

πŸ•’ Last updated: 2026-05-09 Β· πŸ“Š 20+ fields per hashtag Β· πŸ”„ Side-by-side hashtag comparison Β· 🚫 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.

πŸ‘₯ Built for🎯 Primary use cases
Content marketersPick high-volume, high-engagement hashtags
Brand and social teamsTrack campaign hashtag performance
Influencer-marketingFind creators using your target hashtags
AgenciesBuild hashtag strategies for client brands
ResearchersStudy trending topics and content velocity
App developersPower hashtag-discovery tools

πŸ“‹ What the Instagram Hashtag Analytics Scraper does

  • 🏷️ Multi-hashtag input. Pass a list of hashtags (without #) for side-by-side analysis.
  • πŸ“Š Aggregate metrics. Total post count, average likes, average comments, average views.
  • ⭐ Top posts. Top-performing posts ranked by engagement.
  • πŸ”— Related keywords. Hashtags Instagram associates with the input.
  • πŸ‘€ Top creators. Top creators using the hashtag.
  • πŸ“ˆ 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.

πŸ’‘ 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.


🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations.


βš™οΈ Input

FieldTypeNameDescription
hashtagsarrayHashtagsRequired. List of hashtags (without #). Example: travel, food, photography.
maxItemsintegerMax ItemsFree 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
}

⚠️ Good to Know: pass without the # symbol. Same hashtags returned in the same input order so you can do clean comparisons.


πŸ“Š 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.

🧾 Schema

FieldTypeExample
🏷️ hashtagstringtravel
πŸ“Š totalPostsnumber658000000
❀️ averageLikesnumber1245
πŸ’¬ averageCommentsnumber42
πŸ‘οΈ averageViewsnumber or null8500
⭐ topPostsarray[{"postUrl":"...","likes":...,"comments":...}]
πŸ”— relatedHashtagsarray["wanderlust", "travelgram", "explore"]
πŸ‘€ topCreatorsarray[{"username":"natgeo","followers":...}]
πŸ”— hashtagUrlstring (url)https://www.instagram.com/explore/tags/travel/
πŸ“… scrapedAtISO datetime2026-05-09T12:00:00.000Z

πŸ“¦ 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"
}

✨ Why choose this Actor

Capability
🎯Built for the job. Scoped specifically to hashtag analytics so you skip the parser engineering entirely.
πŸ”–Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚑Fast. Optimized request patterns return results in seconds, not minutes.
πŸ”Always fresh. Every run pulls live data, so the dataset reflects Instagram as of run time.
🌐No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
πŸ›‘οΈReliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

πŸ“Š Production-grade structured hashtag data without the engineering overhead of building and maintaining your own scraper.


πŸ“ˆ How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
⭐ Instagram Hashtag Analytics Scraper (this Actor)$5 free credit, then pay-per-usePublic hashtagsLive per runMulti-hashtag side-by-side⚑ 2 min
Build your own scraperEngineering hoursFull once builtWhenever you maintain itCustom code🐒 Days to weeks
Paid hashtag-research tools$$$ monthly per seatVendor-definedPeriodicVendor-defined⏳ Hours
Manual checksHours per checkLimitedStaleManualπŸ•’ Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.


πŸš€ How to use

  1. πŸ“ Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the Instagram Hashtag Analytics Scraper page on the Apify Store.
  3. 🎯 Set hashtags. Add a list of hashtags to compare and maxItems.
  4. πŸš€ Run it. Click Start and let the Actor collect your data.
  5. πŸ“₯ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.


πŸ’Ό Business use cases

πŸ“Š Content strategy

  • Pick high-volume, high-engagement hashtags
  • Build hashtag stacks for posts and Reels
  • Track hashtag performance over time
  • Power editorial calendars with data

🏒 Brand and campaign monitoring

  • Track campaign hashtag performance
  • Monitor branded hashtag growth
  • Compare campaign A vs campaign B
  • Build post-campaign analysis reports

🎯 Influencer-marketing

  • Find creators using your target hashtags
  • Build outreach lists by niche
  • Track top creators across niches
  • Power influencer-discovery products

πŸ› οΈ Engineering and product

  • Power hashtag-discovery tools
  • Replace fragile in-house Instagram scrapers
  • Wire datasets into your apps via the Apify API or webhooks
  • Skip the proxy, retry, and parsing maintenance entirely

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

πŸŽ“ Research and academia

  • Empirical datasets for papers, thesis work, and coursework
  • Longitudinal studies tracking changes across snapshots
  • Reproducible research with cited, versioned data pulls
  • Classroom exercises on data analysis and ethical scraping

🎨 Personal and creative

  • Side projects, portfolio demos, and indie app launches
  • Data visualizations, dashboards, and infographics
  • Content research for bloggers, YouTubers, and podcasters
  • Hobbyist collections and personal trackers

🀝 Non-profit and civic

  • Transparency reporting and accountability projects
  • Advocacy campaigns backed by public-interest data
  • Community-run databases for local issues
  • Investigative journalism on public records

πŸ§ͺ Experimentation

  • Prototype AI and machine-learning pipelines with real data
  • Validate product-market hypotheses before engineering spend
  • Train small domain-specific models on niche corpora
  • Test dashboard concepts with live input

πŸ”Œ Automating Instagram Hashtag Analytics Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

Schedules. Use Apify Scheduler to capture daily snapshots of hashtag metrics. Combine with the Apify dataset diff tools to track trending hashtag growth.


❓ Frequently Asked Questions

πŸ”Œ 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.


πŸ’‘ Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.


πŸ†˜ Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.


⚠️ 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.