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Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Free proxy lists can help with a disposable proof of concept, but they are a poor reliability and security foundation for production scraping. A large 2024 study found that just 34.5% of more than 640,600 proxies gathered from 11 providers were active at least once during the study. Even an endpoint marked live may fail on your target, disappear shortly afterward, or alter the response. Measure repeat, target-specific success—not how many addresses a list contains.
What large-scale proxy testing found
The strongest independent evidence is the 2024 MADWeb study by Naif Mehanna, Walter Rudametkin, Pierre Laperdrix and Antoine Vastel. The researchers gathered more than 640,600 proxies from 11 providers and tested them daily over 30 months. Only 34.5% were active at least once. The study also identified 4,452 distinct vulnerabilities, including 1,755 that enabled remote code execution and 2,036 that enabled privilege escalation. It found 16,923 proxies that appeared to manipulate content.
Those results are a warning about the category, not a prediction that exactly 65.5% of every current list will fail. Providers, endpoints, target sites, protocols and testing windows differ. “Active at least once” is also a much weaker measure than “works repeatedly for the pages and locations my scraper needs.”
HProxy’s longitudinal notes give another reason to distrust a one-time liveness check: its reported median proxy lifespan was 144.5 hours, 22.6% died within their first hour, and a proxy in its live set passed only 45.5% of its own verification checks. Those figures describe HProxy’s observations, not a universal service-level guarantee. A live badge should be read as a point-in-time observation, not a promise of success.
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What you get from public proxy lists
Free lists aggregate endpoints that may speak different protocols and have different locations, anonymity properties and histories. Their size and refresh rate describe the list—not the odds that a given address will retrieve your permitted target successfully.
| Source | What it publishes or reported | How to interpret it |
|---|---|---|
| ProxyScrape | HTTP, HTTPS, SOCKS4 and SOCKS5 endpoints in machine-readable formats. Its API says it refreshes every minute; its repository refreshes every five minutes. | Refresh frequency does not establish endpoint uptime, target compatibility, anonymity or response integrity. |
| ProxyScrape repository snapshot | On 2026-09-29, the snapshot listed 4,792 entries across 86 countries: 1,455 HTTP, 559 HTTPS, 232 SOCKS4 and 3,105 SOCKS5. | These are entries in that dated snapshot, not necessarily unique, reachable or suitable for your target. |
| HProxy | Describes collecting candidates from more than 100 public sources, deduplicating them, testing four protocols and labelling candidates with country, anonymity, latency and uptime. Its page reported 20,251 live proxies and 84,180 that had answered within 48 hours when crawled. | These are operational counts reported by the service when crawled, not guaranteed working inventory or a success rate. |
These sources offer ways to find candidates; they do not certify that traffic is private or that an endpoint is usable for a particular job. The meaningful question is how a candidate behaves against your actual target, at your intended rate and location, over repeated checks.
Why public proxies create security and integrity risks
A proxy operator sits between your scraper and the destination. Depending on the connection and configuration, the operator may observe traffic metadata or content, log requests, inject or change content, or expose you to a compromised machine. ProxyScrape explicitly warns that public proxies are unsafe, unstable, slow and often blacklisted, and says not to send credentials, cookies or sensitive data through them.
The MADWeb authors summarized their findings this way: “Ultimately, our research reveals that the use of free web proxies poses significant risks to users’ privacy and security.” Treat this as a practical constraint: do not route authenticated sessions, account cookies, API keys, private records or other sensitive material through an unknown public endpoint. A successful HTTP status is not evidence that the response is unmodified. Keep TLS certificate verification enabled; a proxy that triggers a certificate error is a failed candidate, not a reason to disable verification.
- Use only public data you are authorized to collect, and do not use a proxy to bypass authentication or security controls.
- Do not put secrets in proxy URLs, test files, shell history or logs.
- Compare response content with a trusted control when possible; unexpected changes can matter more than a simple connection failure.
- Stop using an endpoint if it rewrites content, fails certificate validation, exposes sensitive material or violates the target site’s terms.
How to benchmark a free list defensibly
Benchmark the whole collection workflow, not just whether a socket opens. Before testing, ensure the target permits your requests, keep request rates conservative, and use a benign control endpoint you own or are authorized to test. The following sequence separates basic liveness from the result that matters: repeatable, intact retrieval of the intended page.
- Define the test. Record the exact target URLs, permitted fields, required geography, proxy protocol, concurrency and acceptable failure rate. Decide what counts as a valid response—for example, a particular status plus a stable page marker rather than status 200 alone.
- Test each endpoint against both target and control. Record status, TLS validation outcome, latency, response-body integrity and whether the observed client IP is the proxy rather than your own. Use an IP-check endpoint only if you control it or have permission to use it.
- Repeat at different times. Run checks over hours or days. Keep first-pass success separate from sustained uptime; a proxy that worked once is not a reliable pool member.
- Measure scraper outcomes. Log bans, CAPTCHA frequency, retries, abandoned sessions and successful pages. Attribute retry traffic and delay to the endpoint that caused them.
- Reject unsafe or noncompliant endpoints. Remove candidates that alter content, fail certificate validation, expose credentials or conflict with target terms or provider policies.
- Compare total operating cost. Include engineering time, failed jobs, retry load and maintenance. Compare that cost with a managed API trial before choosing a production design.
A small repeat-check harness in Python
This example tests a list of proxy URLs against one allowlisted target, repeats each check, preserves TLS verification, and writes status, latency and a short response hash to CSV. It is a screening harness, not a full anonymity or security audit: use a stable test page with a known marker for meaningful integrity checks, and separately verify egress IP using an authorized control. It intentionally avoids credentials and cookies.
import csv
import hashlib
import time
from datetime import datetime, timezone
from pathlib import Path
import requests
TARGET = "https://example.org/your-authorized-test-page"
ROUNDS = 3
TIMEOUT_SECONDS = 15
# One proxy URL per line, for example http://host:port or socks5h://host:port.
# Install SOCKS support if needed: python -m pip install "requests[socks]"
proxy_urls = [line.strip() for line in Path("proxies.txt").read_text().splitlines()
if line.strip() and not line.lstrip().startswith("#")]
with open("proxy-results.csv", "w", newline="", encoding="utf-8") as output:
writer = csv.DictWriter(output, fieldnames=[
"checked_utc", "proxy", "round", "status", "elapsed_ms", "body_sha256", "error"
])
writer.writeheader()
for proxy_url in proxy_urls:
for round_number in range(1, ROUNDS + 1):
proxies = {"http": proxy_url, "https": proxy_url}
row = {
"checked_utc": datetime.now(timezone.utc).isoformat(),
"proxy": proxy_url,
"round": round_number,
"status": "",
"elapsed_ms": "",
"body_sha256": "",
"error": "",
}
started = time.monotonic()
try:
response = requests.get(
TARGET, proxies=proxies, timeout=TIMEOUT_SECONDS,
allow_redirects=True, verify=True,
headers={"User-Agent": "authorized-proxy-benchmark/1.0"},
)
row["status"] = response.status_code
row["body_sha256"] = hashlib.sha256(response.content).hexdigest()
except requests.RequestException as exc:
row["error"] = type(exc).__name__ + ": " + str(exc)[:240]
finally:
row["elapsed_ms"] = round((time.monotonic() - started) * 1000, 1)
writer.writerow(row)
time.sleep(1) # Keep the test rate modest; respect the target's rules.
Replace the example URL with a page you are allowed to request. Put only endpoints in proxies.txt that you are willing to test without secrets. Requests supports HTTP(S) proxies directly; SOCKS URLs require the optional SOCKS dependency. A failed request is recorded as a failure, not silently retried. This makes the raw attempt rate visible; if your production client retries, record those attempts and report first-pass success separately. Hashes help identify changed bodies, but dynamic pages can legitimately change, so compare a stable marker or normalized content rather than treating every different hash as tampering.
Turn benchmark results into a useful decision
Calculate metrics per endpoint and for the pool as a whole. Keep denominators explicit: if you sent 100 attempts and got 60 valid target responses, first-pass success is 60%, not “60 proxies work.” If retries convert 20 more attempts into 12 additional valid pages, include their time and traffic in the operational cost.
- Target success rate: valid target responses divided by attempts, with failures categorized by timeout, connection error, TLS error, block, CAPTCHA and unexpected body.
- Repeat uptime: the fraction of scheduled checks each candidate passed, plus how long it remained usable. Report this separately from ever-active counts.
- Latency and throughput: compare median and tail latency under the same target, protocol, geography and concurrency. A single fast request does not establish sustained throughput.
- Integrity and anonymity: confirm expected page markers and inspect egress IP through an authorized control. A proxy connection alone does not prove the target sees the intended location or that content remained intact.
- Ban and CAPTCHA rate: count challenges and blocks as outcomes, not as ordinary timeouts. Do not respond by escalating evasion; reduce load or stop where access is disallowed.
- Cost per successful page: include free-list discovery, checks, retries, dead-job recovery and operator time. “Free” endpoint access can still make the overall pipeline expensive.
For a proof of concept, a small test set and a modest number of repeat checks may be enough to establish whether your parser and proxy configuration interoperate. A production benchmark needs a schedule long enough to capture churn and the traffic pattern the real job will use. Avoid a single giant burst: it can trigger target defenses, distort latency and make the test itself noncompliant.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When a free list is reasonable—and when to move on
A free list can be reasonable for short-lived experiments, parser development, protocol compatibility checks or low-stakes collection of public data where no credentials or sensitive content pass through the proxy. It is a poor fit when the job depends on predictable repeat uptime, clean content, controlled geography, support or an accountable operator.
ProxyScrape itself points readers toward paid datacenter, residential and mobile plans for reliable production use. Oxylabs documents no-payment trials for Web Scraper API and Web Unblocker, as well as free datacenter IP activation, which can give a team a controlled comparison point. A trial is not automatically the right answer: compare target-specific success, geographic fit, policy terms and cost per successful page using the same workload as your free-list test.
Respect site rules and legal boundaries
A proxy changes the network route; it does not grant permission to access a site or data. Oxylabs’ policy says automated gathering is not necessarily illegal in itself, but methods can cross legal thresholds. It requires compliance with site terms and says only publicly available data may be scraped without permission; it prohibits security breaches, authentication circumvention, sensitive-data collection and disruptive activity. Bright Data’s policy also prohibits unlawful activity and restricts categories including streaming-related domains and SEO manipulation. These are provider policies and operational guardrails, not substitutes for jurisdiction-specific legal advice.
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Check the destination’s terms, applicable law and the provider’s acceptable-use conditions before collecting data. If access requires credentials you do not have permission to use, a CAPTCHA or other security measure blocks the job, or requests would disrupt the service, stop rather than treating another proxy as a workaround.
Or skip the browser setup
If the actual task is capturing a webpage as an image or PDF—not routing a scraper through a proxy—ScreenshotNeo is the relevant alternative to try first. It is a website screenshot API and MCP server, not a proxy list or general-purpose scraping service. One GET request can return a PNG, JPEG, WebP or PDF. Before a capture, it can accept cookie/consent banners and remove more than 60 known consent platforms, newsletter popups and chat widgets; those steps can be turned off. Bot checks/CAPTCHAs, blank pages, timeouts, failed loads and cache hits are not billed, and response headers say which verdict and billing outcome applied. Its MCP server exposes take_screenshot, get_page_info and capture_pdf to Claude, Cursor and other MCP clients.
Install the requests library, replace the example URL with the page you are authorized to capture, and use your API key. The full parameter reference is in the ScreenshotNeo documentation.
import requests
r = requests.get("https://api.screenshotneo.com/v1/shot", params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"}, timeout=90)
open("shot.webp", "wb").write(r.content)Cookie banners, popups and chat widgets can be removed before the shot; bot checks, blank pages and failed loads are never billed; AI agents can take screenshots through its MCP server; and 1,000 screenshots a month are free with no card, with paid plans starting at $5 for 3,000. Sign up for free ScreenshotNeo access.
Frequently Asked Questions
Does a successful proxy request prove that the proxy is anonymous?
No. A successful response only shows that the request completed. Verify the egress IP through a control endpoint you are authorized to use, and treat public proxies as untrusted even if the target returns the expected page.
Can a screenshot API replace a proxy list for scraping?
No. ScreenshotNeo captures webpages as images or PDFs; it is not a proxy service or a general-purpose scraper. Use it when the task is screenshot capture rather than proxy-based collection.
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