Instagram Fitness Influencers — Followers & Engagement Rate

Created by

Insights Data

Actor

Instagram Profile Scraper

Vet a shortlist of fitness creators on Instagram before an influencer campaign by comparing Pamela Reif, Chris Bumstead, Kayla Itsines and Whitney Simmons side by side. Each row contains the username, bio, followers, following, posts count, verified flag, bio links and analytics from the 10 latest posts: engagement rate, average likes, average comments, posts per week and the top post.

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Instagram Profile Scraperinsights_data/instagram-profile-scraper

Username

Followers

Posts analyzed

Avg likes

+14 fields

Input

📸 Instagram profiles(required):pamela_rf+3

🔢 Posts per profile:10

🎞️ Collect latest posts:true

💎 Full post details:true

Output fields

Username

Followers

Posts analyzed

Avg likes

Median likes

Avg comments

Engagement %

Posts / week

Last post

Days since last post

Reels

Carousels

Photos

Videos

How it works

Sign up on Apify or log in

The Instagram Profile Scraper Actor is ready to run with the inputs already set for "Instagram Fitness Influencers — Followers & Engagement Rate". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Instagram Fitness Influencers — Followers & Engagement Rate" task

The Instagram Profile Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 📸 instagram profiles, 🔢 posts per profile, and more, to match your specific use case.

Receive the "Instagram Fitness Influencers — Followers & Engagement Rate" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as username, followers, posts analyzed, and more.