How do I collect datasets from public websites without building everything myself?

You have a few good options that avoid building a full scraping pipeline from scratch. The best choice depends on whether you want ready-made datasets, lightweight crawling, or managed extraction.

1) Use existing public datasets first

Before scraping, check whether the data already exists in usable form:

• Kaggle
• Hugging Face Datasets
• Google Dataset Search
• GitHub repositories
• Academic data portals
• Government open-data portals

This is usually the fastest and cheapest route.

2) Use scraping/extraction tools instead of custom code

If you need data from websites, consider tools that handle most of the work:

No-code / low-code tools

• Apify – prebuilt “actors” for many sites, scheduling, exports, API access
• Browse AI – point-and-click extraction
• Octoparse
• ParseHub
• Import.io

These are good if you want to collect data without engineering a system.

Managed scraping platforms

• Bright Data
• Apify
• Zyte
• ScrapingBee
• Oxylabs

These services can handle:

• proxy rotation
• browser rendering
• retries
• anti-bot handling
• output formatting

3) Use APIs where available

Many sites expose data via official APIs, which is much easier than scraping.

Examples:

• search APIs
• product/catalog APIs
• news or content APIs
• maps/location APIs
• social or forum APIs

If an API exists, that is usually the most reliable and compliant approach.

4) Use browser automation only when needed

For dynamic sites, tools like:

• Playwright
• Selenium

can be used, but they still require more setup. If you want to avoid building everything yourself, use them only for sites that can’t be accessed another way.

5) Buy or license datasets

If your use case is commercial or large-scale, consider:

• data vendors
• marketplace datasets
• licensed web data feeds

This can save significant time and legal risk.

6) Important: check legal and site rules

When collecting data from public websites:

• read the site’s Terms of Service
• respect robots.txt
• avoid personal/sensitive data unless you have a lawful basis
• don’t overload servers
• store provenance and timestamps
• be careful with copyright and redistribution

A practical shortcut

If you want the simplest path, use this decision rule:

• Dataset already exists? → download it
• Site has API? → use the API
• Need extraction from web pages? → use Apify / Browse AI / ParseHub / Bright Data
• Highly dynamic or custom site? → Playwright + a managed proxy/extraction service

If you want, I can also help you choose:

1. the best tool for your budget,
2. a workflow for collecting and cleaning datasets, or
3. a compliant data collection plan for a specific website.