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Instagram Followers Count Scraper Api

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Instagram Followers Count Scraper Api

Instagram Followers Count Scraper Api

📈 Get accurate Instagram follower counts with Instagram Followers Count Scraper API (instagram-followers-count-scraper-api). ⚡ Fast, reliable data for analytics, lead gen & influencer research. 🔎 Easy integration & scalable scraping!

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Instagram Followers Count Scraper 🔍

Instagram Followers Count Scraper is an Apify actor designed to scrape followers count and other public profile metrics from Instagram profiles using the username(s) you provide. It’s a practical instagram followers count scraper and instagram follower count tool for teams who need fast, repeatable insights—whether you’re a marketer, researcher, or data analyst—saving you hours of manual lookups while building an instagram followers count dataset you can reuse.


Why choose Instagram Followers Count Scraper?

FeatureBenefit
Focused followers count extractionQuickly collect follower count and following count for the usernames you care about
Input supports multiple usernamesRun batch collection with one job instead of one profile at a time
Reliability with retriesIncludes retries and fallbacks for resilience when requests fail temporarily
Proxy support for more consistent runsHelps improve request reliability at scale with built-in proxy support
Structured dataset outputReturns clean, consistent profile fields ready for analysis or export
Scales to your workflowAutomate instagram followers count extraction as part of tracking, enrichment, and reporting

Key features

  • 📊 Followers & following metrics: Extracts followersCount and followsCount for each Instagram username
  • 🧾 Full profile details too: Includes userFullName, biography, userId, externalUrl, and profile links
  • 🔄 Retry logic for resilience: Retries failed requests to improve success rate across larger batches
  • 🛡️ Proxy-ready scraping: Built-in proxy support to help keep runs stable and reduce request failures
  • 💾 Structured output for easy analysis: Saves results directly into the actor output dataset in a consistent structure
  • 🌐 Automatic profile URL construction: Produces userUrl based on the scraped username for quick reference
  • 🕒 Timestamped results: Adds a timestamp per profile so you can track changes over time (great for an instagram growth tracking tool)

Input

Provide input via an input.json file. Example structure:

{
"username": ["mrbeast"]
}

Input Fields

FieldRequiredDescription
usernameAn array of Instagram usernames to extract followers count from. You can pass one username or many in a single run.

Output

After execution, the actor saves each profile’s data in JSON format.

Sample output:

[
{
"profilePic": "https://example.com/profile.jpg",
"userName": "mrbeast",
"followersCount": 250000000,
"followsCount": 200,
"timestamp": "2026-05-20 - 14:30",
"userUrl": "https://www.instagram.com/mrbeast",
"userFullName": "MrBeast",
"userId": 123456789,
"biography": "Public bio text...",
"externalUrl": "https://example.com"
}
]

Output Fields

FieldTypeDescription
profilePicstringURL of the profile picture (profile_pic_url_hd or fallback profile_pic_url)
userNamestringThe Instagram username that was scraped
followersCountnumberNumber of followers (edge_followed_by.count)
followsCountnumberNumber of accounts the user is following (edge_follow.count)
timestampnumberTimestamp string formatted as YYYY-MM-DD - HH:MM
userUrlstringDirect profile link in the format https://www.instagram.com/{username}
userFullNamestringProfile full name (full_name)
userIdnumberInstagram user ID (id)
biographystringPublic biography text (biography)
externalUrlstringExternal link shown on the profile (external_url)

The actor pushes a list of these objects to the output dataset (one per provided username that it successfully parses).


How to use Instagram Followers Count Scraper (via Apify Console)

  1. Open Apify Console
    Log in at https://console.apify.com and go to the Actors page.

  2. Find the actor
    Search for Instagram Followers Count Scraper and open the actor page.

  3. Configure the INPUT
    In the INPUT panel, set username to an array of Instagram usernames (example: ["mrbeast"]). This is your instagram followers count checker input.

  4. (Optional) Proxy & reliability
    The actor includes built-in proxy support and resilience features to improve consistency for instagram profile followers scraper workflows.

  5. Click Run
    Start the run. You’ll see logs that indicate which usernames are being fetched and when results are saved.

  6. Monitor progress
    If a profile can’t be fetched, the actor logs the failure and continues processing other usernames.

  7. Open the OUTPUT dataset
    After completion, go to the OUTPUT tab to view the dataset (the fields match the Output section above).

  8. Export for your pipeline
    Export to JSON/CSV from the dataset view for analysis, dashboards, CRM enrichment, or instagram follower tracker scraper use cases.

No coding required — get accurate results in minutes ✅


Advanced features & SEO optimization

  • 🧠 Designed for “instagram followers count scraper” use cases: Ideal when you need reliable follower counts for multiple accounts in a repeatable instagram followers count api-style workflow (without writing code).
  • 🛡️ Rate-limit resilience: Includes retry logic with backoff to handle temporary request failures.
  • 🧩 Clean, structured dataset fields: Output is immediately usable for an instagram followers count dataset, growth dashboards, or analyst workflows.
  • 🔎 Public profile metrics: Extracts followers count, following count, profile name/ID, and public bio content alongside the follower figures—useful for instagram engagement and follower scraper style analysis.

Best use cases

  • 📈 Marketing teams tracking growth: Monitor follower growth across multiple brands or creators over time with timestamped results.
  • 🧑‍💼 Lead generation & outreach: Build an influencer list using follower counts alongside profile metadata for prioritization.
  • 🔬 Market researchers: Compare followers and following across niches to understand competitive positioning (turn it into a dataset for analysis).
  • 🗂️ CRM enrichment workflows: Populate CRM fields with follower metrics and public profile links for ongoing qualification.
  • 💻 Data analysts: Combine this output with your own sources to model growth trends and segmentation.
  • 🧾 Competitor benchmarking: Quickly estimate audience size differences using consistent instagram followers count extraction results.
  • 🤝 Recruiters and brand partnerships: Identify high-reach accounts by follower count and profile metadata for collaboration outreach.

Technical specifications

  • Supported Input Formats

    • username: array of Instagram usernames
  • Proxy Support

    • ✅ Built-in proxy support to help maintain reliability during scraping runs
  • Retry Mechanism

    • ✅ Retries with backoff for resilience when requests fail temporarily
  • Dataset Structure

    • ✅ Each scraped profile is saved as an object with:
      • profilePic, userName, followersCount, followsCount, timestamp, userUrl, userFullName, userId, biography, externalUrl
  • Rate Limits & Performance

    • ✅ Designed for batch runs; speed depends on profile accessibility and network conditions
  • Limitations

    • ❌ Profiles that can’t be fetched (e.g., not found) won’t return parsed data for that username

FAQ

Can I scrape followers count for multiple Instagram accounts in one run?

✅ Yes. Provide an array in the username input field—one run will iterate through each username and save results to the output dataset.

What exact metrics does Instagram Followers Count Scraper extract?

✅ It extracts followersCount and followsCount, plus profile details including userName, userFullName, userId, biography, externalUrl, profilePic, and userUrl, with a timestamp.

Do I need an Instagram login to use this actor?

❌ No login credentials are part of the provided input schema. The actor is designed to scrape data from publicly available sources for the usernames you provide.

How does the actor handle temporary failures?

✅ The actor includes retry logic with backoff and continues processing other usernames if an individual scrape fails.

What format will I receive in the output?

✅ The actor saves results as JSON objects in the dataset. Each entry corresponds to one successfully scraped username and includes the fields listed in the Output Fields table.

Can I export the results to CSV?

✅ Yes. After the run, you can open the dataset in Apify Console and export the results in commonly supported formats (e.g., JSON/CSV) from the dataset view.

Is this actor suitable for building an instagram followers count dataset for tracking?

✅ Yes. Because the output includes a timestamp, you can schedule repeated runs and build a time series for an instagram growth tracking tool workflow.

Are there any legal/compliance considerations?

✅ Since this actor collects information from publicly available sources, you should still review and follow applicable laws and platform policies relevant to your use case (for example, GDPR/CCPA and anti-spam regulations where applicable).


Support & feature requests

Want to improve Instagram Followers Count Scraper for your instagram follower count tool workflow? Share feedback and feature requests by email at dataforleads@gmail.com.

  • 💡 Feature Requests: Ideas like exporting richer datasets, adding more profile fields, or improving batch processing for instagram follower tracker scraper use cases are welcome.
  • 📧 Contact: Reach us at dataforleads@gmail.com.

Your feedback helps shape the roadmap for future versions of this instagram followers count scraper.


Final thoughts

Instagram Followers Count Scraper is an SEO-optimized, structured instagram followers count scraper built for reliable batch follower extraction—so you can go from manual checks to a reusable dataset fast.