Citable datasets. Collected with you in control.

ParseQuest is a local-first research and preservation workspace. You browse; it captures what you view and attaches a provenance record to every item. Credentials never leave your machine.

Desktop app for social media research. Cloud sync is optional.

Request accessSee how it works
Credentials stay localYou are always presentProvenance on every record

Why reproducibility starts with provenance

A finding is only as strong as the record behind it. ParseQuest helps you show where every data point came from, when it was captured, and that it hasn't changed since.

Platform-dependent research
  • Screenshots and spreadsheets with no capture record
  • Hard to show when or how an item was collected
  • Findings that reviewers and editors can't verify
  • Archives that can't be cited with confidence
ParseQuest
  • Every item stored with source, timestamp, and a SHA-256 content hash
  • Versioned records: changes create a new version, never a silent edit
  • Exports that carry provenance and version history
  • Datasets you can cite, defend, and reproduce
How it works

Capture locally. Sync only what you choose.

Four steps from what you view to a citable dataset. You are present at every step.

1

Capture

You browse in your own authenticated browser session. ParseQuest records what you view, at normal browsing pace.

user-present · rate-respecting
2

Store

Each capture is saved on your device as a versioned record with a provenance entry.

versioned · SHA-256 hash
3

Sync

Choose collections to sync for cross-device access and search. Records only, never credentials.

optional · off by default
4

Export

Produce JSON, CSV, or PDF with full provenance, including offline.

format: json / csv / pdf

A calm place for your research

Browse collections, follow a result back to its origin, and export with a keystroke. Nothing is overwritten in place.

Collection run
Collected through your browser session on 2026-08-01.
run_7c14e0
source_min
The minimal record set, normalised and stored.
artifact v3 / versioned
enriched
Entities, topics, and language resolved on top.
artifact v2 / versioned
Export
A portable dataset, independent of any live platform.
export_dataset.csv
Artifact detail / source_min_2026-08-01.jsonv3
typesource_min
created_at2026-08-01T14:22:10Z
sourcelocal_collector
author@researcher
metricsreactions, replies
regionlocal
versioned: each version is preservedv3

Every record carries provenance

Each artifact carries a version number and a provenance record, so a finding can always be traced back to the run that produced it.

result.schema.jsonread only
{
  "id": "result_3f8a2b1c",
  "type": "source_min",
  "version": 3,
  "created_at": "2026-08-01T14:22:10Z",
  "source": "local_collector_v1.4.0",
  "payload": {
    "author": { "handle": "@researcher" },
    "text": "...",
    "metrics": { "reactions": 142, "replies": 38 }
  }
}
Trust

Privacy is the foundation

Your research, on your device

Captures are stored locally by default. You decide what, if anything, leaves your machine.

Credentials stay local

You sign in on your own device. ParseQuest never sees your passwords, tokens, or session data.

Built to cooperate

We follow published usage norms and rate limits by default. See our usage norms.

Who it is for

Anyone who needs a durable record of public conversation - archived, citable, and under their control.

Research

Academics

Build citable datasets with a clear record of how each item was captured.

Newsroom

Journalists

Document the posts behind a story, with timestamps and hashes you can show an editor. Scope controls and a deletion workflow help you handle personal data responsibly.

OSINT

Analysts

Keep a traceable evidence trail, with provenance on every row.

Data

Teams

Share datasets and provenance records across a project. Sharing covers records only; each person captures through their own session. (Coming soon.)

Start building citable datasets

Request access to the public beta. Your data, your device, your control.

Request accessRead the trust model