How to Get Your Hinge Swipe Data: Step-by-Step Guide

People search for “Hinge swipe data,” but Hinge is not a simple left-or-right swipe system. You send likes to a photo or prompt, may attach a comment, receive likes, match, and then message. Its download reflects those interaction events rather than handing you a neat analytics dashboard.

That distinction matters. You can still build a useful baseline from your export, but only if you separate what the file represents from what it leaves out. This guide walks through the current request path, the safest way to inspect the archive, a calculator for the totals you can verify, and the profile decisions the result can support.

Skip to the Hinge like data calculator

The short answer: request it inside the Hinge app

Hinge’s official privacy-request guide gives this path for an active profile:

1. Sign in to Hinge.
2. Tap your photo icon on the far right of the navigation bar.
3. Open Account Settings.
4. Tap Download My Data.
5. Select your country.
6. Tap Download My Data again.
7. Confirm your email address.
8. Submit the request.

Hinge says exports are typically ready within 30 days, although file size and request volume can make them take longer. When the file is ready, the download remains available for 48 hours. Save it promptly and keep it private.

Banned or closed accounts

Banned members can access Download My Data from the Legal section of the ban-notification screen. If you already closed the account or the in-app tool does not work, Hinge directs you to its support request flow: choose Privacy Request, then select the option to access or download your data.

While you wait, audit the profile people are reacting to

The export can count represented interactions. It cannot explain why a photo or prompt made someone stop, like, or pass.

Analyze my Hinge profile

What arrives in a Hinge export

After you download and extract the archive, inventory the files before opening anything. A Hinge export may include readable pages and structured JSON files for profile details, prompts, subscriptions, and interaction history. The interaction file is commonly named matches.json, but file names and structure can change.

Hinge explicitly warns that not all data is accessible. The export excludes personal information about other members, so it is not a complete copy of every profile, incoming message, or decision involving you. Hinge’s separate conversation-export explanation says message access is limited to your half of a conversation and, under its current policy, to messages from the past two years.

This is why you should not call every ratio in the archive a lifetime match rate.

Where to find your Hinge like totals

Open matches.json or the equivalent interaction file in a text editor. You are looking for event groups, not another person’s profile details. Depending on the export version, records may contain labels such as:

like
match
chat
block

For the calculator, count only fields you can verify:

Calculator input	What to count	Important limitation
Likes represented	Records that contain a like event associated with your action	Missing old or unresolved likes can distort the denominator
Passes	Pass/reject events only if your file clearly includes them	Enter zero when unavailable
Matches	Records that contain a match event	A match may not identify who initiated the like
Your messages	Message events authored by you	Do not count the other member’s text

Why “represented” is the honest word

Hinge’s export format has changed over time, and official guidance does not promise a complete pass history or a full record of every other member’s actions. If your file shows 600 like events and 45 match events, you can confidently say the file represents those events. You cannot automatically claim that 600 is every like you ever sent or that 45 divided by 600 is a perfect lifetime match rate.

If a field is absent, leave it out of your interpretation. Do not replace “unavailable” with “zero.” The calculator accepts zero for passes specifically so you can still examine represented-like yield and message volume without inventing a selectivity rate.

Read the result as a funnel

Stage 1: likes represented

This is the measurable top of the funnel. It tells you how many like events survive in the file you received. If pass events are also present, the calculator shows your like share. If passes are absent, it correctly leaves that behavior metric out.

Stage 2: matches represented

Dividing match events by represented like events gives a directional match yield. It can help when you compare two exports with the same structure, but it is fragile across format changes. A new export that retains fewer unresolved likes could produce a higher-looking rate even when the profile did not improve.

Stage 3: your message volume

Messages per match answers one narrow question: did you engage with the matches the export represents? It does not reveal reply rate, conversation quality, phone numbers exchanged, or dates.

Is your represented-like yield good or bad?

Grade the represented-like yield, not raw match count. These bands translate the percentage into a practical next step:

Matches per represented like	Calculator label	How to interpret it
🔴 Under 2%	Needs review	Fewer than 2 represented matches per 100 likes. Verify that unmatched likes are present before blaming the profile.
🟠 2% to under 5%	Below guide band	A low directional yield. If the denominator is trustworthy, review the first photo and prompt positioning.
🟡 5% to under 10%	Middle guide band	A workable represented yield. Test one profile element and compare an equivalent later export.
🟢 10% or higher	Strong guide band	Strong within this diagnostic framework. Conversation quality may now be the more useful bottleneck.

With fewer than 100 represented likes, the calculator returns Small sample regardless of the percentage. The rate needs enough attempts to become stable.

These are ProfileSharp guide bands, not official Hinge averages. Hinge’s data-export guidance says not all data is accessible, and the export can exclude information involving other members. If unmatched likes or passes are missing, the calculated yield can look artificially strong. In that case, the color describes the file—not your complete account history.

Calculate your Hinge like data

Enter the totals you verified. The calculation happens in your browser; the archive itself stays on your device.

The most useful diagnosis is before the match

Hinge lets people react to individual photos and prompts, so a weak represented-like yield points you back to the profile surface:

• Does the first photo make you immediately recognizable?
• Do the remaining photos show a life someone can imagine joining?
• Do your prompts reveal taste, values, or an easy opening line?
• Is your dating intention clear enough to attract compatible people?
• Does the profile repeat one trait instead of building range?

Start with our explanation of how the Hinge algorithm works. Then use the Hinge profile guide for men and best Hinge prompts for guys to turn the diagnostic into concrete edits.

Compare future exports without fooling yourself

Use a controlled process:

1. Record the export date, file names, and field labels.
2. Save the current totals as a baseline.
3. Change one profile variable with a clear hypothesis.
4. Keep preferences, location, and activity pattern reasonably stable.
5. Request another export after enough new activity.
6. Confirm the new archive has the same field structure before comparing it.
7. Compare the added events, not two blended lifetime percentages.

Our dating-profile A/B test guide explains why one change at a time is more informative than a total makeover.

Turn represented events into a clearer next move

ProfileSharp reviews the photos, prompts, and overall story behind the numbers, then prioritizes the parts most worth testing.

Get my profile review

Keep the archive private

The ZIP can contain profile details, your own messages, account information, and timestamps. Use these safeguards:

• extract it on a personal device;
• avoid public upload tools unless you have reviewed their privacy terms and understand exactly what leaves your device;
• share aggregate counts rather than raw JSON;
• redact email addresses, IDs, timestamps, and conversation text from screenshots;
• delete unneeded copies from shared drives.

Frequently asked questions

Does Hinge provide swipe-left and swipe-right totals?

Not as a guaranteed, complete pair of counters. Hinge is organized around likes, comments, matches, and passes, and the accessible export may not preserve every decision needed for a lifetime selectivity rate.

Can I see who liked or rejected me?

Hinge says exports exclude personal information about other members. The archive is meant to give you access to your data, not a dossier on everyone who interacted with you.

Why does the calculator say “represented-like yield”?

Because the denominator is the like events you can verify in the current file. That wording avoids claiming the export is a complete record when it may not be.

Can I compare my rate with someone else’s?

That comparison is usually weak. Different export versions, account ages, locations, preferences, and missing events can change the denominator. Compare your own like-for-like periods first.

Does uninstalling Hinge delete the account?

No. Hinge’s privacy guide says uninstalling the app does not close the profile. Account deletion must be completed through Account Settings.

Is the calculator private?

You enter only aggregate counts. You do not upload matches.json, and the calculation runs on the page.

Official sources

• Hinge: How can I make a Privacy Request?
• Hinge: Can we get a copy of our initial chat?