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🛰️ Python-based scraper that automates postal code lookups on the official Correos de Chile website. It simulates the public search form with autocomplete logic and returns clean, structured JSON—ready for direct integration into Django, Flask, or any API-driven backend.

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Correos de Chile Postal Code Scraper 🇨🇱

This is a Python scraper that extracts Chilean postal codes from correos.cl using Playwright. It simulates filling out the public form with autocomplete validation and returns the result in clean JSON format.


✅ Features

  • Fully automated browser-based scraping (headless by default)
  • Robust autocomplete handling for commune and street
  • Input verification for all fields
  • Input normalization: supports uppercase/lowercase, tildes, and special characters
  • JSON output:
    • On success: { "postalCode": "8260323" }
    • On error: { "error": "..." }
  • Ready to convert into an API with Django

🚀 Quickstart

1. Install dependencies

pip install -r requirements.txt
playwright install

2. Run the scraper

python index.py "LA FLORIDA" "LAS ACACIAS" "7700"

Example Output (Success)

{ "postalCode": "8260323" }

Example Output (Error)

{
  "error": "Scraper failed: Failed to select street correctly after 2 attempts."
}

📁 Files

  • index.py: main script
  • error.png: generated screenshot on error (if applicable)
  • requirements.txt: dependency list

🔧 Notes

  • This scraper uses Playwright under the hood.
  • Form fields require autocomplete selection; manual filling is not enough.
  • Input values are normalized to match Correos' expected format (e.g. PeñalolénPENALOLEN)
  • Timeout is set to 20s by default per operation.

📦 Ready for API?

Yes. You can now easily wrap this logic inside a Django or Flask API endpoint.


👤 Author

Alejandro Exequiel Hernández Lara Founder & CEO at KaiNext

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🛰️ Python-based scraper that automates postal code lookups on the official Correos de Chile website. It simulates the public search form with autocomplete logic and returns clean, structured JSON—ready for direct integration into Django, Flask, or any API-driven backend.

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