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PULLING DATA OUT OF POCKETBOOKS MONEY MANAGER
Turning a phone-only expense ledger into a clean, callable data feed
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INTRODUCTION
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PocketBooks - Money Manager, built by Sadr Soft and distributed through
Google Play and CafeBazaar, is a manual personal-finance app — income
and expense entries, categories, budgets, financial goals and
multi-currency accounts, all stored on the user's own device and
mirrored to a Google Drive backup and a local backup file. No bank
sits in the path, which means there is no open-banking rail to call.
What there is, instead, is a structured ledger sitting in a backup
file and an on-device store, waiting to be decoded.
This is exactly the kind of asset that integrators, fintech builders,
and personal-finance platforms need turned into something
machine-readable. The work below documents how that ledger — its
transactions, categories, budgets, goals and multi-currency balances
— gets pulled out through authorized backup parsing and on-device
extraction, and shaped into a normalized, API-like feed. Full detail
lives at:
https://openbankingstudio.com/pocketbooks-money-manager.html
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SUPPORTED API FEATURES
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32 Transaction-level export — amount, date, type, note and currency
for every income and expense entry logged in the app
32 Category mapping — each entry's category surfaced and ready to
align with an external chart of accounts
32 Budget and goal data access — limits, periods and progress pulled
out for variance tracking and goal dashboards
32 Multi-currency normalization — original per-entry currency plus a
base-currency-normalized amount, so mixed-currency totals never
silently blend dollars and euros
32 Dual-source extraction — backup-file parsing (Google Drive backup
and local backup file) and on-device store reads, for either a
point-in-time snapshot or a closer-to-live pull
32 Scheduled sync support — checksum-based snapshot comparison so an
unchanged ledger is recognized and skipped instead of re-imported
32 OpenAPI/Swagger-shaped delivery — the extracted ledger described
as callable endpoints (list transactions, fetch categories, read
budgets and goals), even though the underlying source is a backup
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USE CASES & APPLICATIONS
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[1] Personal finance aggregation platforms
32 Consolidate a PocketBooks ledger alongside other money-manager
apps into one unified spending dashboard
32 Normalize multi-currency transactions into a single reporting
currency without losing the original entry data
32 Feed budgets and goals into a cross-app progress view
[2] Accounting and bookkeeping tool integration
32 Map PocketBooks categories to an external chart of accounts
32 Reconcile logged income/expense entries against bank statements
held elsewhere
32 Automate periodic exports instead of manual CSV re-entry
[3] Business intelligence and spend analytics
32 Feed transaction-level data into BI tools for trend analysis
32 Track budget-versus-actual variance over time, per category
32 Build historical spend models from a stable, normalized schema
[4] Data migration and app-switching support
32 Help users move their full transaction, category and budget
history from PocketBooks into a different finance app
32 Preserve multi-currency entries and financial goals during a
platform switch
32 Run a one-off backup decode as part of an onboarding flow
[5] Recurring sync and monitoring services
32 Script scheduled retrieval of the Google Drive backup for an
always-current feed rather than a single export
32 Detect schema drift across app version updates and re-map before
a sync silently breaks
32 Checksum each snapshot to keep daily or weekly syncs lightweight
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BENEFITS & ADVANTAGES
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32 Works without any bank credential or upstream institution in the
path — extraction runs entirely on data the account holder already
owns
32 Captures the full data domain: transactions, categories, budgets,
accounts/wallets, currency settings and financial goals
32 Multi-currency aware by design — original and normalized amounts
are both preserved, never silently merged
32 Two extraction depths available — backup-file parsing for
durability, on-device reads for freshness
32 Delivered as runnable source (Python or Node.js) plus an
OpenAPI/Swagger spec, not a black-box service
32 Built-in resilience to app updates — parsers are version-pinned
with schema-diff checks to catch drift early
32 Consent-first, GDPR-aligned handling — data minimized to what a
project needs, with deletion honored on request
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SUBSCRIPTION PLANS
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Two engagement models are available:
32 Source delivery — starting at $300, billed once the parser,
OpenAPI spec and documentation are in hand and verified against
your own backup. Typical turnaround: one to two weeks.
32 Hosted pay-per-call — the same extraction logic run as a hosted
endpoint, billed per request, with nothing owed upfront.
Both paths include the decode work, access arrangements and
compliance handling as part of the engagement.
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CONCLUSION
--------------------
PocketBooks - Money Manager keeps a genuinely useful ledger —
transactions, categories, budgets, goals, multi-currency balances —
but it stays locked inside a phone's backup files unless someone
decodes it. Authorized backup parsing and on-device extraction turn
that ledger into a normalized, API-shaped feed that aggregation
platforms, accounting tools and BI systems can actually consume.
If a project needs this data — once, or on a recurring schedule —
the path is decode, normalize, deliver, with consent and data
minimization built in from the start.
Start the conversation at:
https://openbankingstudio.com/pocketbooks-money-manager.html
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32 OpenBanking Studio — authorized app data extraction and
protocol work. PocketBooks - Money Manager and Sadr Soft are
named only to describe an interoperability and export
engagement; no affiliation is implied.
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last updateTime: 2026-06-22 04:45:58b
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