Prompt
What should I use for a reliable web scraping API?
Latest observation
If you want a reliable web scraping API, the best choice depends on what you’re scraping and how much anti-bot protection you’ll face.
Good options by use case
1. For general-purpose scraping with strong reliability
- Zyte API
Good if you want a mature scraping platform that handles proxies, browser rendering, retries, and anti-bot measures well. - Oxylabs Web Scraper API
Very reliable for large-scale scraping, especially on sites with heavy blocking.
2. For browser-based scraping / JavaScript-heavy sites
- Browserless
- Zyte API
- Oxylabs
- Bright Data Web Scraper API
These are useful when sites require real browser behavior, not just plain HTTP requests.
3. For budget-friendly or simpler needs
- ScrapingBee
- Apify
- ZenRows
These are often easier to start with and work well for medium-scale jobs.
What to look for
A reliable scraping API should have:
- Proxy rotation
- JavaScript rendering
- Retry logic
- Captcha/bot protection handling
- Good uptime and documentation
- Scalability and rate-limit support
My quick recommendations
- Best overall reliability: Zyte API or Oxylabs
- Best for easy developer experience: ZenRows or ScrapingBee
- Best for browser automation: Browserless
- Best if you want workflows and prebuilt actors: Apify
If you tell me:
- the sites you want to scrape,
- whether they use JavaScript heavily, and
- your budget/volume,
I can recommend the best specific option.
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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