Prompt
Best alternative to Bright Data for scraping
Latest observation
If you’re looking for the best alternative to Bright Data for scraping, the answer depends on what you use Bright Data for most:
Top alternatives
-
Oxylabs
- Probably the closest overall alternative to Bright Data
- Strong proxy network, SERP/API products, good anti-bot handling
- Best for enterprise-scale scraping
-
Smartproxy / Decodo
- Usually a bit simpler and often cheaper than Bright Data
- Good residential/mobile/datacenter proxy options
- Best balance of price and ease of use
-
Zyte
- Great if you want scraping APIs rather than just proxies
- Strong for website extraction and anti-bot bypassing
- Best for teams that want less infrastructure work
-
ScraperAPI
- Very easy to integrate
- Good for general web scraping without managing proxies yourself
- Best for developers who want speed and simplicity
-
NetNut
- Solid residential proxy provider with good performance
- Often used for large-scale scraping
- Best if you want another enterprise-grade option
Quick recommendation
- Closest to Bright Data overall: Oxylabs
- Best cheaper/easier option: Smartproxy / Decodo
- Best scraping API alternative: Zyte
If you tell me:
- your target sites,
- whether you need proxies or a scraping API,
- and your monthly budget,
I can recommend the best option more precisely.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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