Identical code, different strings
In Python, both Rayobyte and Geonode are just proxy URLs:
import os, requests
proxy = os.environ["PROXY_URL"] # from either dashboard
r = requests.get("https://httpbin.org/ip", proxies={"http": proxy, "https": proxy}, timeout=30)The same goes for HTTPX (proxy=) and aiohttp (proxy= per request). Keep the URL in configuration so switching providers is a config change. See Rayobyte with Python, Geonode with Python and Python Requests proxies.
Where the providers differ for Python work
| Rayobyte | Geonode | |
|---|---|---|
| Cheapest tier for easy sites | Rotating datacenter from $0.30/GB | Rotating datacenter about $0.53/GB |
| Residential at modest volume | $3.50 to $2/GB | About $0.88/GB at 10 GB |
| Concurrency | Unlimited on Premium Residential; per-dollar on Scale and monthly plans | Check plan |
| Sessions | Up to 120 minutes | Up to 24 hours |
| SOCKS5 | Yes, including UDP | Yes |
| Managed fallback | Web Unblocker (proxy URL), Scraping API | Scraper API |
At the time of writing.
The Web Unblocker advantage in Python
Because Rayobyte's Web Unblocker is a proxy endpoint, you can route a hard domain through it by changing one proxy URL in your existing Requests or HTTPX code. With Geonode, the managed route is an API call, which means a small code change for those domains. See Rayobyte Web Unblocker.
Residential tip: Many teams end up using more than one provider: Rayobyte for ZIP and ASN targeted residential traffic or its Scraping API, Geonode for non-expiring per-GB bandwidth and long sticky sessions. Start with using Rayobyte with Python.
Retries and sessions
On both, generate a session ID per task, retry with a new session on connection errors or block pages, and detect blocks by content, not status code alone.
Which to choose
| Python workload | Better fit |
|---|---|
| Huge volumes on easy sites | Rayobyte datacenter |
| Modest residential scraping | Geonode |
| Hard domains in existing code | Rayobyte Web Unblocker |
| LLM content pipelines | Geonode Scraper API (Markdown) |
| ZIP-level data | Rayobyte |
Related: Scrapy compared. With Webshare too: Python across all three.
A real-world example
A data engineer keeps three proxy URLs in environment variables: RAYOBYTE_DC, GEONODE_RESI and RAYOBYTE_UNBLOCK. A small Python function routes each domain to one of them and falls back on failure. When the business adds a new country, the engineer only generates a targeted Geonode URL and adds a route; when a new retailer proves impossible, it gets the unblocker route. No scraper code changes.
Proxy tip: To test the Geonode side of this comparison, a small residential balance from Geonode is enough, and it doesn't expire if you pause. See our complete Geonode guide for its full product range.
Pros and cons for Python
Rayobyte
- Drop-in Web Unblocker as a proxy URL.
- SOCKS5 UDP support for unusual clients.
- Cheapest datacenter per GB.
Geonode
- Cheaper modest-volume residential.
- Markdown from the Scraper API for LLM pipelines.
- API calls instead of proxy URLs for managed scraping.
Before you commit to any provider, it helps to see the wider market: our guide to the best proxies in 2026 compares proxy types by job, and cheap proxies explains how to keep costs down without buying IPs that get blocked. To understand the IP type behind this, read our residential proxies guide.
Budget tip: If you want a cheap proxy to try this with, Webshare has a free plan with 10 datacenter proxies and 1 GB of bandwidth a month, no card required. Paid lists let you pick proxy count, bandwidth and location. See using Webshare with Python.
Key takeaways
- Python code is identical; only the proxy URL changes.
- Rayobyte is cheaper for datacenter traffic and offers a drop-in unblocker.
- Geonode is cheaper for modest residential volumes and returns Markdown from its API.
- Keep proxy URLs in configuration.
FAQ
Can I switch between Rayobyte and Geonode without code changes?
Yes, if your proxy URLs are in configuration.
Which supports SOCKS5 in Python?
Both. Install requests[socks] and use socks5h://.
Which is better for async Python?
Both work with aiohttp and HTTPX async; size concurrency to your plan.
Editorial note: Proxy providers change their pools, features and prices often, so treat any figures here as typical ranges at the time of writing and confirm current terms with the provider before you buy.