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Fiverr Pro
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$
USD
I will automate CSV processing and airtable imports with python
flynn
About this gig
Turn a repeated CSV import into a Python workflow you can run again.
This service covers one CSV layout and one existing Airtable table, with a stable matching key and up to 10,000 rows per run. We will agree on the column mapping, field types and update rules before work starts.
You receive the source code, a validation report, a dry-run mode, the agreed Airtable integration and setup instructions. Validation flags missing required values, invalid numbers and conflicting duplicate keys. The integration is checked in an authorized test table before handover.
The gallery shows an offline demonstration using synthetic data. It is not a previous client project. Development uses AI assistance with review and testing; please share any data-handling restrictions first.
Hosting, paid API plans, linked records, attachments, multiple tables and ongoing maintenance require a separate scope. Message me on Fiverr with an anonymized sample and your desired result before ordering.
Get to know flynn
flynn
Full stack developer and automation engineer
- FromChina
- Member sinceSep 2026
Languages
Chinese, English
I'm flynn, a full stack developer working with Java, Python, Go, React, Vue and SQL. I build backend services, web applications and practical data automations. For CSV and API workflows, I define the mapping and validation rules, provide a dry run, test the agreed behavior and include setup instructions. I use AI assistance with review and testing. Portfolio demos use clearly labeled synthetic data.
FAQ
Will this run without a paid AI subscription?
The delivered Python import script does not require an AI service at runtime. Your Airtable plan and its API allowances still apply.
Is the gallery a completed customer integration?
It shows a working local validation and import-preparation sample with synthetic data. The live integration is built for the agreed client schema.
What does a revision include?
One adjustment to the agreed mapping or validation rules. Additional systems, tables and new workflows require a separate scope.
How do you check the result?
We agree on a small test dataset and expected results, check the import in an authorized test table, then check repeated-run and failure behavior before handover.
