What should I use instead of writing my own scraping infrastructure?

If you don’t want to build and maintain your own scraping infrastructure, the usual alternatives are:

1. Use a scraping API / managed scraping platform

These services handle proxies, retries, browser rendering, CAPTCHA handling, and anti-bot issues for you.

Examples:

• Bright Data
• Zyte
• ScraperAPI
• Oxylabs
• Apify (more workflow/platform-oriented)
• Browserless (for headless browser automation)

Good if you want:

• less ops work
• better reliability at scale
• rotating proxies and browser automation out of the box

2. Use official APIs when available

If the site offers an API, that’s usually the best option.

Good if you want:

• stability
• cleaner data
• lower legal/technical risk
• easier maintenance

3. Buy data from a data provider

Instead of scraping yourself, get the dataset from a vendor that already collects it.

Good if you want:

• fast time to market
• less engineering overhead
• compliance/support from a vendor

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

Tools like:

• Octoparse
• ParseHub
• Browse AI

Good for:

• lighter scraping tasks
• non-engineering teams
• prototypes and internal use

5. Hire a scraping service / agency

If you need custom extraction but don’t want to build it in-house, a specialist vendor can do it end-to-end.

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Quick rule of thumb

• Small/simple needs: no-code tools or official APIs
• Production-scale scraping: managed scraping API/platform
• Need the data, not the machinery: buy the dataset
• Custom one-off project: specialist agency

If you tell me:

1. what sites you need to scrape,
2. how often,
3. how much data,
4. and whether you need browser rendering/logins,

I can suggest the best option for your case.