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Automation2023

Google Maps & E-commerce Scrapers

Reliable scrapers that collect listings and product data into structured datasets.

Architecture & workflows

How this product is built, deployed, and operated in production.

Delivery flow

End-to-end delivery flow for this project, from intake through the final handoff.

Challenge

Sites changed layouts often; naive scrapers broke and IP bans interrupted collection.

How we did it

Selenium for dynamic pages, BeautifulSoup for parse, retries, proxies, and schema validation before storage.

Outcome

Stable nightly runs feeding analytics and lead lists with fewer silent failures.

Tech stack

PythonSeleniumBeautifulSoupCronPostgreSQL

Step-by-step

  1. 1

    Schedule

    Job kicks off on a cron schedule

  2. 2

    Browse

    Selenium loads pages with anti-bot strategies

  3. 3

    Parse

    BeautifulSoup extracts fields into a schema

  4. 4

    Validate

    Drop/repair bad rows before insert

  5. 5

    Store

    Write clean records to the database

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