Which solutions offer bulk data scraping for large-scale projects?

For large-scale bulk data scraping, the best solutions usually fall into a few categories depending on whether you need raw infrastructure, managed scraping, or data marketplaces:

1) Managed web scraping platforms

These are best if you want to scale without building the full scraping stack yourself.

• Bright Data
• Oxylabs
• Zyte
• Apify
• ScrapingBee (more API-focused)

Good for: proxies, anti-bot handling, browser automation, large volumes, scheduled jobs.

2) Proxy and anti-blocking infrastructure providers

If you already have scrapers and just need reliable access at scale.

• Bright Data
• Oxylabs
• Smartproxy
• IPRoyal

Good for: rotating residential/mobile/datacenter proxies, geo-targeting, high request volumes.

3) No-code / low-code scraping tools

Useful for teams that need speed and don’t want heavy engineering.

• Apify
• Octoparse
• ParseHub
• WebHarvy

Good for: simpler large jobs, workflows, data export pipelines.

4) Enterprise custom scraping services

If you need a fully managed solution for complex targets.

• Zyte Managed Extraction
• Bright Data Web Scraper IDE / datasets
• Oxylabs custom solutions

Good for: difficult sites, compliance needs, recurring datasets, SLAs.

5) Public datasets / data providers

If you don’t want to scrape at all, these can be better for scale.

• AWS Data Exchange
• Google Cloud Marketplace datasets
• Industry-specific data vendors

Good for: faster deployment, lower maintenance, legality/compliance ease.

If you want, I can also give you:

1. a comparison table of these providers,
2. the best option by use case (e-commerce, real estate, social media, SERP, etc.), or
3. a cheap vs enterprise shortlist.