Instagram Follower Influence Analysis
Budget: $250 – $750 USD
My Instagram profile sits at 382 k followers and I want a one-off, data-driven snapshot of who the true heavy-hitters inside that audience are. Because I will not be handing over login credentials, the job must rely on public-facing data that you gather through web scraping (my preferred method) or any other clever, compliant workaround you propose.
The end goal is simple: surface the most influential, best-known, highest-follower accounts that already follow me, then rank them so I can decide where to focus future collaborations.
What I expect from you
• A concise explanation of how you will scrape the follower list without direct account access and how you will deal with Instagram rate limits or anti-bot measures.
• A dataset (CSV or Google Sheet) listing each qualifying follower alongside:
– Their own follower count
– Estimated engagement rate (likes + comments relative to their audience)
– Recent activity level (posting frequency over the last 30 days)
• A ranked “Top X” list—feel free to define X based on the data quality, but at least the top 100 is ideal—highlighting standout accounts.
• A short report or slide deck summarising key findings, methodology, and any recommendations.
Acceptance criteria
1. All metrics must be reproducible from publicly available information.
2. No account credentials are requested or stored.
3. The final CSV is clean, deduplicated, and correctly sorted by influence.
4. Delivery within the agreed timeframe.
If you’re confident you can navigate Instagram’s public endpoints, bypass common scraping hurdles, and package the insights clearly, let’s talk and get this wrapped up in a single milestone.
The end goal is simple: surface the most influential, best-known, highest-follower accounts that already follow me, then rank them so I can decide where to focus future collaborations.
What I expect from you
• A concise explanation of how you will scrape the follower list without direct account access and how you will deal with Instagram rate limits or anti-bot measures.
• A dataset (CSV or Google Sheet) listing each qualifying follower alongside:
– Their own follower count
– Estimated engagement rate (likes + comments relative to their audience)
– Recent activity level (posting frequency over the last 30 days)
• A ranked “Top X” list—feel free to define X based on the data quality, but at least the top 100 is ideal—highlighting standout accounts.
• A short report or slide deck summarising key findings, methodology, and any recommendations.
Acceptance criteria
1. All metrics must be reproducible from publicly available information.
2. No account credentials are requested or stored.
3. The final CSV is clean, deduplicated, and correctly sorted by influence.
4. Delivery within the agreed timeframe.
If you’re confident you can navigate Instagram’s public endpoints, bypass common scraping hurdles, and package the insights clearly, let’s talk and get this wrapped up in a single milestone.