Less copying and importing
Replace repetitive copy-and-paste work and spreadsheet imports with API automation that runs on an agreed schedule or event.
01 / CONNECT YOUR SYSTEMS
Python API Integration & Data Synchronization
Your systems. Working together.
Connect your APIs, business applications, databases, CRMs, ERPs, and ecommerce systems with a custom Python integration.
Automate one-way or two-way data synchronization, scheduled workflows, and webhook-driven updates without repetitive manual work.
Send me the API documentation, the systems involved and a short description of the data that needs to move between them.
LESS MANUAL WORK BETWEEN SYSTEMSClose the gaps between
Close the gaps between
your business tools.
Custom API integration connects the steps your team currently handles by hand. Data moves with explicit business rules, reducing delays between operational systems.
More consistent records
Keep systems synchronized, reduce duplicate or inconsistent data, and apply business rules while records move.
A connection that can evolve
Connect software without a suitable off-the-shelf connector and receive maintainable code that can adapt as your workflow changes.
WHEN YOU NEED MORE CONTROL
When a custom API integration makes sense
Standard connectors and no-code tools can suit straightforward automation. Custom Python development is useful when the required mapping, synchronization, or reliability needs more control than those tools provide.
- No suitable connector
The systems have no ready-made connection, or an existing Zapier / Make / no-code workflow needs more control.
- Complex mappings
Fields need transformation and clear decisions about which system owns particular values.
- Updates in both directions
Two-way synchronization needs explicit rules for conflicts, duplicates, and repeat updates.
- Several systems involved
A workflow connects multiple APIs or databases, with business rules between each step.
- Larger data volumes
Pagination, batching, and API rate limits need to be handled as part of the workflow.
- API-specific authentication
OAuth 2.0, JWT, or custom access flows require more than a simple request.
- Events plus reconciliation
Webhooks need validation and further processing, with scheduled checks to catch missed changes.
- A service that keeps running
The integration needs a long-lived background service, safe retries, and recovery after interruptions.
SYSTEMS AND INTEGRATION PATTERNSConnect the software
Connect the software
your business relies on.
Business system integration starts with suitable API or data access. We review the systems, permissions, and required direction before confirming feasibility. For platform-specific workflows, explore Shopify inventory sync or supplier feed automation.
Systems I can connect
- CRMs and ERPs
- Ecommerce platforms and supplier systems
- SaaS and internal applications
- Databases and spreadsheets
- Custom software
How data can move
- API → API and API → database
- Database → API and API → CSV / spreadsheet
- One-way or two-way synchronization
- Scheduled synchronization and webhook/event-driven workflows
- Background services and custom API endpoints where required
ILLUSTRATIVE INTEGRATION EXAMPLESReal business steps.
Real business steps.
Connected by clear rules.
These examples show possible Python API integration workflows. The systems, fields, direction, and scope are agreed for your project.
AN EXAMPLE WORKFLOWDATA FLOW
Business applicationSource data
Map & validateYour business rules
Your databaseAgreed destination
Designed around your workflow01 → 02 → 03
CRM ↔ ERP
- CRM customer / order data
- Map and validate
- ERP
Return flow: ERP status / data → transformation → CRM
CRM API integration with agreed ownership and conflict rules.
Ecommerce → accounting or ERP
- Online store order
- Validate customer / products
- Create corresponding records
- Accounting / ERP system
An ERP API integration that moves orders into the next operational step.
SaaS API → internal database
- External REST API
- Pagination / incremental fetching
- Normalize and deduplicate
- PostgreSQL / MySQL / internal application
API-to-database integration for a consistent internal dataset.
Webhook → business workflow
- Webhook event
- Authenticate and validate
- Apply business logic
- Call second API / update database
Webhook integration that turns an event into an agreed business action.
Spreadsheet or database → API
- CSV / Google Sheet / database
- Mapping and transformation
- REST API
- Result / error reporting
Move prepared business data into an application through its API.
SYNCHRONIZATION WITH EXPLICIT RULES
Which system owns each field?
A useful integration defines which system owns each field, when it should change, and what should happen if a request fails. These decisions keep API data sync understandable.
- Source of truth
Decide which system owns each field, so updates do not overwrite the wrong value.
- Field mapping
Define identifiers, transformations, and which fields may change.
- Direction and timing
Agree on one-way or two-way sync, schedules, and supported events.
- Conflicts and duplicates
Set matching and conflict rules before creating or updating records.
- Failure behavior
Decide which records to skip, retry, or report when a request fails.
- Reconciliation
Check for missed or inconsistent changes when the workflow needs it.
RELIABILITY IN DAILY OPERATION
Built for production workflows
Real integrations face unavailable systems, incomplete responses, and interrupted jobs. Reliability measures depend on the agreed scope and the APIs involved.
Handle API conditions
- Pagination and batching
- API rate limits
- Retries with appropriate backoff
- Request timeouts
Protect data quality
- Validation and deduplication
- Idempotency where relevant, so retries do not repeat an action
- Conflict handling and partial-failure handling
- Malformed responses and detectable schema/API changes
Keep operation traceable
- Structured logging
- Failure/error reporting
- Scheduled reconciliation where needed
- Safe restart and recovery behavior
THE TECHNICAL DETAILS, IN CONTEXTBuilt around your API
Built around your API
and access requirements.
You work directly with an API integration developer who reviews authentication, data access, and operational needs before implementation.
API authentication
I work with API keys, bearer tokens, OAuth 2.0, JWT, Basic Authentication, and custom authentication flows.
Feasibility depends on the API capabilities and the access you can provide.
Python and backend tools
Python and REST APIs, with FastAPI, Flask, or Django when the integration needs a backend or custom endpoints.
PostgreSQL / MySQL, webhooks, and scheduled/background jobs are used where appropriate to your workflow.
DEPLOYMENT AND OPERATIONRun it in a suitable
Run it in a suitable
environment.
Depending on scope, the integration can run with Docker, on AWS, a VPS/server, another suitable cloud environment, or your existing client environment.
I provide configuration guidance and setup/deployment instructions for the agreed environment. We confirm hosting, scheduling, and operational responsibilities before work begins; hosting fees are separate unless agreed otherwise.
WHAT YOU RECEIVEA connection you can
A connection you can
keep working with.
Maintainable Python source code, configuration guidance, and documented mappings and business rules, scaled to the project.
The handover includes setup/deployment instructions, appropriate logging/error handling, testing against the agreed workflow, and an explanation of how to run and troubleshoot the integration.
BEFORE WE START
A few useful answers.
Can you connect a system that is not listed, or more than two systems?
Send the systems and API documentation. I can assess connections across multiple APIs and databases when suitable access exists, including how each system owns and updates its data.
Can you work with OAuth and other API authentication?
Yes. I work with API keys, bearer tokens, OAuth 2.0, JWT, Basic Authentication, and custom flows. The approach depends on the API and the access available for your project.
Can data synchronize in both directions?
Yes, when the APIs support the required operations. We define field ownership, matching, conflict rules, and how repeat updates are handled before building two-way synchronization.
Can it run automatically, and should I use webhooks or a schedule?
The integration can run on a schedule, react to supported webhooks, or operate as a background service. Webhooks suit available events; scheduled synchronization and reconciliation can cover batches or missed changes.
Can you deploy the integration?
Yes. Deployment to Docker, AWS, a VPS/server, another suitable cloud, or your existing environment can be included in scope. You receive setup guidance; hosting fees are separate unless agreed otherwise.
What happens if an API is temporarily unavailable?
We agree on timeouts, retries with backoff, and reporting appropriate to the workflow. Safe retry and recovery rules help avoid repeated actions, while partial failures remain traceable.
Can you work with incomplete API documentation?
In many cases, yes. Send the available documentation and describe your access. I review the endpoints and test options before confirming feasibility and scope.
Can you extend or repair an existing API integration?
Yes, after reviewing the existing code, API access, and the issue or change you need. Share relevant errors or an example workflow through Fiverr so I can assess the work.
How is the integration maintained?
You receive maintainable source code and handover guidance. API changes or new business requirements may need later updates; ongoing maintenance can be discussed separately on Fiverr.
How do I get a quote?
Send the API documentation, systems, sample data, direction, volume, frequency, and business rules through Fiverr. I review the workflow and confirm the scope before you order.
LET’S CONNECT YOUR SYSTEMSLess manual work.
Less manual work.
More connected systems.
Tell me what needs to move between your systems and what a successful result looks like.
Discuss your API integration
Send me the API documentation, the systems involved and a short description of the data that needs to move between them.