Business Automation with Python: From One Script to a Platform
We automate the manual work between your tools — scraping, data pipelines, scheduled reports, and integrations — starting with a single high-value script and growing into a connected platform as it proves its worth.
- UK & EU businesses doing high-volume manual data work by hand
- Teams whose Zapier or Make flows have outgrown no-code
- Ops and finance functions that want back-office tasks to run themselves
What we automate
Scraping, Pipelines, Reports, Integrations
When you automate with Python through AnvilEight you skip the fragile spreadsheet macros and the manual copy-paste between systems. We build the unglamorous, reliable plumbing that runs unattended:
- Web scraping & data collection — gathering and structuring data from the web, with fallbacks for protected sites.
- Data pipelines & ETL — moving and transforming data between databases, warehouses, and APIs on a schedule.
- Report generation — turning raw data from many systems into a single scheduled report or digest.
- SaaS & API integrations — connecting ERPs, CRMs, payment providers, and spreadsheets that don't talk to each other.
- Back-office automation — invoicing, payroll prep, dispatch, and data entry that used to be done by hand.
Zapier vs custom Python
When No-Code Stops Paying Off
No-code tools like Zapier and Make are excellent for simple, low-volume automations, and we are happy to recommend them when they fit. They start to cost you when volume climbs (per-task pricing adds up fast), when the logic gets complex, when you need heavy data transformation, or when the integration you need simply isn't supported.
Custom Python has a higher upfront cost and a lower run cost: no per-task fees, no platform limits, full control over logic and data, and the ability to integrate anything with an API. A good rule of thumb — if a no-code flow is becoming expensive, brittle, or impossible to extend, it has outgrown no-code. We often start clients there and rebuild only the parts that need it.
Proof
Automations Running Every Day
For Total Solution Industries, a US field-service company, we connected their ERP to Google Workspace, PostgreSQL, and AI to remove manual back-office work:
- ~50 work orders auto-priced and invoiced per day, each in under a minute.
- 7–8 dispatch lookups a day answered in 10–50 seconds with route-optimized technician shortlists.
- A nightly payroll spreadsheet built automatically from the day's completed work.
For another agency, a single daily digest consolidates six-plus systems into one message, running ~260 times a year with zero manual effort.
See our case studiesLanguages & tools
- Python
- n8n
- Celery
- Pandas
- Requests / Playwright
Integrations
- PostgreSQL
- Google Workspace
- REST & GraphQL APIs
- Payment providers
- Docker / AWS
Andrii is awesome. He didn't give up on the automation API issues we were having with PayPal, Stripe, etc. He kept thinking up different ways for us to get the integration done.
Why AnvilEight
15 Years of Production Python
Automations are easy to demo and hard to keep running — they break the moment an API or a spreadsheet layout changes. We have been writing production Python since 2010, so we build them to fail safe: retries with backoff, per-source error isolation, and graceful degradation so one dead service blanks its own step instead of breaking the whole run.
Want to add an AI judgement step — pricing, classification, extraction — on top of the plumbing? See AI automation services. Need a dedicated engineer rather than a fixed project? Hire Python developers.
Python automation: FAQ
More questions? Contact us- What can you automate with Python?
-
Web scraping and data collection, ETL and data pipelines, scheduled report generation, SaaS and API integrations between tools that don't talk to each other, and back-office tasks like invoicing, payroll prep, and data entry.
- Why custom Python instead of Zapier or Make?
-
No-code tools are great for simple, low-volume flows. Custom Python wins on high volume, complex logic, heavy data transformation, per-task cost, or unsupported integrations. We often start clients on no-code and rebuild the parts that have outgrown it.
- How much does Python automation cost?
-
Our standard rate is $1,600 per developer per week. A single automation can be a few days; a full platform of connected workflows scales from there. We can quote a fixed price once the first workflow is scoped.
- Can you automate tasks across our existing tools?
-
Yes — that's most of the work. We integrate ERPs, CRMs, spreadsheets, databases, payment providers, and chat tools so data flows automatically, with retries and error handling so one failing service doesn't break the whole process.
- Do you maintain automations after they're built?
-
Yes. Automations break when APIs and data change, so we build them to fail safe and offer ongoing support. One client digest has been refined across 160 saved revisions and still ships every weekday.
- Do you work with UK and European companies?
-
Yes. AnvilEight is a Ukraine-based company headquartered in Kharkiv, working in a European timezone with strong overlap with UK business hours. Most of our clients are UK and European businesses.
Contact
What's the most repetitive task on your team?
Tell us the manual process that wastes the most time and we'll scope an automation. Or email contact@anvileight.com
Get a QuoteLet's work together
Don't like forms? Email us to contact@anvileight.com