def automate(): data = fetch_source() result = process(data) return export(result) EXTRACT TRANSFORM LOAD API 1 API 2 DATABASE PYTHON SCRIPT OUTPUT
Python Automation

Python scripts that run on their own.

A Python script does what your teams re-type every day: pulling data from APIs or the web, processing Excel, CSV or PDF files, producing your reports. We deploy it on Azure, AWS or your own servers, with an alert as soon as a run fails.

Let's talk about your script

≈ 1 MIN

Your need

What do you want to automate?

You

Company size (optional)

Your details are only used to get back to you.

  • Reply within 1 business day
  • Free 30-minute scoping call
  • You talk to the person who builds the project
Since 2017 of automation, data and AI work for large companies: food, energy, spirits, media, retail.

Companies we have worked for

  • Disneyland Paris
  • Pernod Ricard
  • Nestlé
  • TotalEnergies
  • Radio France
  • Castorama
  • Enpal
  • Solpedinn

Our expertise

Custom Scripts

Scripts written for one specific process, tested on your real data, documented and maintained after delivery.

API Integration

We connect your tools through their APIs: Pipedrive, Salesforce, SAP, Microsoft Graph or the French Sirene API.

Data Analysis

Data consolidation and cleaning with pandas, then reports generated automatically in Excel, PDF or PowerPoint.

Web Scraping

Extracting public web data with BeautifulSoup or Selenium, for example finding the SIRET numbers of a list of websites in a single day.

Cloud Deployment

Scripts deployed on AWS Lambda, Azure Functions or Azure Container Apps, with logging and an alert when a run fails.

AI in your scripts

The script calls an LLM to classify requests, summarise a meeting transcript or read a scanned document (OCR).

Companies we have worked for

Case studies

View all

Frequently asked questions

What is Python automation?

Python automation means writing scripts that do repetitive tasks for you: fetching data, processing Excel, CSV or PDF files, calling APIs, sending emails, producing reports. Python suits the job because of its libraries, such as pandas for data or Selenium for driving a browser.

Which processes can you automate with Python?

Any process that follows rules and goes through files, APIs or a database: syncing a CRM, generating PowerPoint decks from data, importing ERP exports into a database every night, producing PDF reports.

How long does a Python automation project take?

A targeted script, such as a scraper or an API integration, takes 1 to 3 days. We quote every project after a free 30-minute scoping call.

What is the difference between Python and no-code tools like Make or Zapier?

Make and Zapier work well for linking SaaS apps with simple logic. Python becomes useful when you need to process large files, apply complex business rules or talk to an older system such as SAP. We use both and choose based on data volume and on who will maintain the automation.

Our guides Python & apps

All articles in this theme →