Website data collection into spreadsheets and reports

I build parsers that collect open website data into CSV, Excel, or JSON so you do not copy prices, listings, contacts, or catalog data by hand.

Discuss a project Contacts

Technologies

Pythonrequests/httpxBeautifulSoupPlaywright when neededCSV/Excel/JSONTask schedulers

I work only with open data and tasks that do not violate law or platform rules.

Who this service fits

Businesses copying data into spreadsheets by hand

Online sellers watching competitor prices

Teams preparing market research

Managers who need regular lists from open pages

Tasks it solves

Collect products and characteristics

Monitor prices and availability

Export public listings

Track page changes

Prepare data for analysis or import

What is included

Source analysis before implementation

Parser script for agreed fields

Export to CSV, Excel, or JSON

Advice on launch frequency and hosting

Basic documentation for reruns

Example scenarios

Collect product cards into an Excel file

Compare competitor prices once a day or week

Monitor new listings or changes on public pages

Work stages

Clarify the goal and current workflow

Define pages, bot flow, or data fields

Agree on scope and launch version

Build the first working version

Review with real examples

Hand over usage notes and next steps

What I need from you

Source URLs or examples

Fields that must appear in the table

Export format and column names

How often data should update

Known rules or restrictions of the target sites

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FAQ

Do you bypass protection?

No. I work only with open data and tasks that respect law and platform rules.

Can data be exported to Excel?

Yes. CSV, Excel, and JSON are typical outputs. The format is selected for the next step in your workflow.

Can scraping run on a schedule?

Yes, if the target site, hosting, and update frequency make it reasonable.

Need a website, bot, or automation?

Message me on Telegram. Send what you sell, what should be automated, and what result you expect. I will suggest a practical implementation path.

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