Automation, Scrapers & Data Pipelines
I build automations that remove repetitive manual work: web scrapers, data pipelines, scheduled jobs, alerts, spreadsheet/database sync, and API-to-API workflows. The goal is simple — less copy-paste, fewer missed tasks, cleaner data, and predictable operations.
This service is for businesses that repeatedly copy data, monitor pages, update spreadsheets, import product/listing data, or move information between disconnected tools.
- Web scrapers
- CSV/database import tools
- API integrations
- Scheduled jobs
- Telegram/email alerts
- Data cleaning and validation
- Spreadsheet automation
- Website monitoring workflows
- Node.js
- TypeScript
- REST APIs
- MongoDB
- MySQL
- cron jobs
- GitHub Actions
- Telegram/email alerts
- Next.js dashboards where needed
CarVendors included data pipeline and scraper-related work for vehicle listing data — the same approach applies to business automation tasks.
Read the CarVendors case study- Single scraper/scheduled job: from $300
- Data pipeline with validation: from $800
- Multi-step workflow automation: from $1,200
Indicative starting points — final pricing is fixed after scope review.
Questions, answered honestly.
No. It depends on source terms, data type, rate limits, and legal context. Prefer official APIs where possible. Avoid personal-data harvesting and aggressive scraping.
Good automation should include logs, retries, and failure alerts. The user should know when something fails instead of discovering missing data later.
Yes, if they have an API, export/import option, database access, webhook, email workflow, or stable data source.