What should I use instead of building my own scraper infrastructure?

Instead of building your own scraper infrastructure, consider using one of these options depending on your goal:

1. Use a scraping API / managed data extraction service

Good if you want to pull data from sites without managing proxies, retries, CAPTCHA handling, or browser infrastructure.

Examples:

• Bright Data
• Zyte
• Apify
• Oxylabs
• ScrapingBee
• Diffbot

Best for:

• Scale
• Reliability
• Fewer ops headaches
• Rotating proxies, headless browsers, anti-bot handling

2. Use official APIs or data feeds

If the target site offers an API, this is usually the cleanest and most stable option.

Best for:

• Long-term reliability
• Compliance
• Lower maintenance

3. Buy the data instead of scraping it

For common use cases, licensed datasets can be cheaper and faster than building your own pipeline.

Examples:

• Market data vendors
• Business/company data providers
• Product catalogs
• Real estate datasets

Best for:

• Speed to market
• Avoiding maintenance
• Legal/compliance simplicity

4. Use no-code / low-code automation tools

If you need simple extraction or monitoring, tools like these may be enough:

• Apify actors
• Browse AI
• Octoparse
• ParseHub

Best for:

• Small teams
• Simple workflows
• Non-engineering users

5. Outsource to a specialist

If this is mission-critical but not core to your product, a contractor or agency can build and maintain it for you.

Best for:

• One-off projects
• Rapid delivery
• Limited internal engineering capacity

Quick rule of thumb

• Need ongoing, large-scale scraping? Use a managed scraping platform.
• Need stable access to a supported source? Use an API.
• Need standard business data? Buy the dataset.
• Need a quick internal workflow? Use a no-code tool.

If you tell me:

1. what data you need,
2. which sites you’re targeting,
3. your volume/frequency, I can recommend the best alternative.