Custom web scraping and data parsers
I automate recurring data collection so you receive a clean table, database update or alert instead of copying information manually.
Collect, clean and update data from websites and APIs, delivered in the required format.
A useful parser is not a throwaway script but a reliable process: it checks sources, normalizes values, keeps history and reports failures. Before launch I consider available APIs, source policies and an appropriate request rate.
What can be built
The workflow is designed around your process instead of forcing your business into a template.
Catalog collection and attribute normalization
Aggregating data from multiple APIs
Telegram alerts when a defined event occurs
What you receive
- Script or scheduled service
- Data cleaning, deduplication and validation
- Export to Excel, CSV, Google Sheets or a database
- Logs, failure alerts and documentation
Integrations and technology
A clear path from idea to launch
Technical specification included when you order development
- 01
Clarify the task
Describe the outcome in plain language. I ask focused questions about users, data and constraints.
- 02
Define the scope
I document workflows, boundaries, stages, timing and acceptance criteria. The specification is included with development.
- 03
Build and test
You see interim progress while I test expected paths and failure cases.
- 04
Launch
I hand over the source and instructions or deploy the product and verify it in production.
Frequently asked questions
Can any website be scraped?
Not always. I first check for an API, technical restrictions, robots.txt, terms of use and whether the required data can be collected appropriately.
What happens when the source website changes?
For recurring jobs I add structure checks and failure alerts. Ongoing maintenance and adaptation to source changes can be arranged separately.
Can the parser run automatically?
Yes. It can run on a schedule or event, then save and deliver the result through the selected channel.
