You can export Instagram relationship data in two different ways. For an account you control, use Meta’s official “Export your information” workflow. For public-profile research, some tools provide a limited CSV snapshot of currently available profile rows. The methods have different permissions, completeness, and privacy risks.

Quick answer

For your own Instagram account, open Accounts Center → Your information and permissions → Export your information, then choose the profile, data types, date range, and format. For another public profile, use only a service that clearly describes its public data source and export limits. Never provide an Instagram password to an unrelated export site.

Choose the correct export method

Export type	Use it for	Access and limits
Meta account export	Your own account history, media, profile information, and available connections data.	Requires authenticated access to the account. Meta controls available categories and formats.
Public-profile CSV	Researching currently visible usernames, profile labels, and snapshot signals.	Public profiles only; coverage may be sampled, capped, cached, or incomplete.
Browser extension export	Operational analysis while signed into an account.	Review permissions, data handling, platform rules, and account-safety implications.

How to export your Instagram information officially

Meta’s documented workflow is the most appropriate starting point when you own the account and need a copy of your information:

Open Instagram settings and select Accounts Center.
Choose Your information and permissions.
Select Export your information, then Create export.
Choose the Instagram profile you want to export.
Select Export to device or an available external service.
Choose specific information, date range, format, notification email, and media quality.
Start the export and wait for Meta’s notification.
Download the archive from the available downloads area before it expires.

Meta notes that preparation can take time and that downloads are available for a limited window. Keep the archive private because it may contain personal account information beyond follower usernames.

How a public follower CSV export works

A public-profile export usually begins with a username lookup. The tool retrieves supported public profile rows, displays a preview, and creates a table with fields such as:

username — the account handle used as the comparison key;
display_name — the non-unique public profile name;
signal — follower, following, new, missing, or observed;
observed_at — when the tool recorded the row;
source_snapshot — the baseline or current dataset identifier.

The phrase “follower export” does not guarantee a complete audience list. Check the row cap, successful-request limit, refresh time, and whether the export contains live, cached, historical, or sample data.

Clean the CSV before analysis

Save the original. Keep an untouched copy with the observation date in the filename.
Normalize usernames. Remove @ prefixes, trim spaces, and compare lowercase handles.
Remove duplicate rows. Deduplicate on username plus snapshot identifier.
Keep dates in ISO format. Use YYYY-MM-DD or a full UTC timestamp.
Separate observed facts from labels. Store “missing from snapshot” separately from a human-reviewed “confirmed unfollow” field.
Add research notes. Record campaign, niche, collaboration, or account-status context in a separate column.

Compare two follower CSV files

Use usernames as the stable comparison key. In a spreadsheet, place the earlier usernames in one sheet and the later usernames in another. A lookup formula, query, or set-difference operation can then classify:

Additions: present in the current CSV, absent from the baseline.
Missing: present in the baseline, absent from the current CSV.
Retained: present in both snapshots.

Do not label automatically: “missing” is a data comparison result. Confirm account status before changing the label to “unfollowed,” “removed,” “deleted,” or “renamed.”

Responsible uses for follower export data

Creator or influencer research before a partnership.
Competitor audience mapping by niche or profile category.
Campaign measurement using aggregate follower changes.
CRM preparation for profiles you have a lawful reason to contact.
Account-owner backup and connection auditing.
Audience retention analysis across consistent time windows.

A username in a public list is not blanket permission for unsolicited outreach, profiling, resale, or sensitive inference. Apply applicable privacy, marketing, and platform rules to your use case.

Export privacy and security checklist

Prefer Meta’s official export for information associated with your own account.
Do not share your Instagram password or two-factor authentication code with an export tool.
Review what a service uploads, stores, shares, and deletes.
Delete archives and CSV files when the research purpose ends.
Restrict team access to raw profile data.
Document snapshot dates and data limitations in reports.

Frequently asked questions

Can Instagram export followers directly to CSV?

Meta’s export may provide information in formats selected through Accounts Center. If the delivered connection file is JSON or HTML, you can transform the specific table you need into CSV locally.

Can I export another person’s complete follower list?

A public tool may provide supported visible rows, but it should not promise complete private data. Coverage varies with profile visibility, provider limits, and platform restrictions.

Is CSV better than Excel?

CSV is portable and works across Excel, Google Sheets, databases, and analysis tools. It does not preserve formatting, formulas, multiple sheets, or rich data types.

What is the safest identifier for comparison?

Use the account’s stable platform identifier when legitimately available. Otherwise, usernames are more reliable than display names, but username changes still require review.

Sources and methodology

The official export steps above follow Meta’s documented Accounts Center workflow. Public-profile CSV capabilities vary and should be verified per provider.