--- license: mit pretty_name: Checked free proxies – daily snapshots tags: - proxies - networking - cybersecurity - web-scraping - ip-addresses - open-proxies - threat-intelligence - time-series configs: - config_name: default data_files: "data/*/*.parquet" --- # Checked free proxies – daily snapshots One Parquet file per UTC day with every public HTTP, SOCKS4 and SOCKS5 proxy that passed all checks in the first published run of that day. Collected by [proxy-scraper](https://github.com/maximilianfeix/proxy-scraper), which pulls from hundreds of public lists and keeps only the entries that pass every check. All rows are entries that passed: candidates that failed or were not checked are not in the data. An entry is a `type://ip:port` combination, not a machine – many are ports on the same host. ```python from datasets import load_dataset ds = load_dataset("Taventix/proxy-scraper-snapshots", split="train") df = ds.to_pandas() # non-hoster exits that got through to Reddit, by country non_hoster = df[(df.hosting == False) & df.works_on.apply(lambda sites: "reddit" in sites)] non_hoster.groupby("country").size().sort_values(ascending=False).head() ``` ## How a proxy gets in About every hour 150,000 candidates are checked, out of roughly 1.2–1.4 million listed protocol/address combinations. Proxies that passed before and sources with a good hit rate go first. An entry is kept only if it 1. completes a real protocol handshake (HTTP CONNECT, SOCKS4 or SOCKS5) and a first request that returns a public exit IP that is not ours, 2. shows the same exit IP on a second request to an unrelated site. A failure means only that the second request did not confirm the proxy: an unstable proxy, an exit that changes between requests, a proxy that only answers the first check, or the second site refusing it, 3. returns one static test page byte for byte over plain HTTP. A failure means the bytes differed; why is not determined, 4. for `https = true`, tunnels to one test host on port 443 with a TLS certificate that verifies, at check time. Of 3.6 million checks of that prioritised sample in one day, 1.1 % passed. A day's snapshot holds between 1,000 and 2,200 proxies. ## Fields | Field | Type | Meaning | |---|---|---| | `url` | string | Ready-to-use proxy URL, e.g. `socks5://1.2.3.4:1080` | | `ptype` | string | Protocol: `http`, `socks4` or `socks5` | | `proxy` | string | `ip:port` | | `exit_ip` | string | IP address the target site saw (can differ from the proxy's own IP) | | `country` | string | Two-letter country code of the exit IP | | `asn` | int64 | Autonomous system number of the exit IP | | `org` | string | Network / provider that owns the exit IP | | `hosting` | bool | The provider name of the exit IP looks like a hosting company (datacenter) | | `blocklisted` | bool | Exit IP is on the SpamCop blocklist | | `anonymity` | string | `elite` (target sees no proxy), `anonymous` or `transparent` | | `https` | bool | Passed the HTTPS test: a tunnel to one test host with a TLS certificate that verifies, at check time | | `latency` | int64 | Response time in the check, milliseconds | | `speed_kbps` | int64 | Download speed in KiB/s (HTTPS-capable proxies only, measured since 2026-09-28) | | `works_on` | list of strings | Big sites it got through to in that run: google, reddit, amazon, instagram, tiktok, discord | | `blocked_on` | list of strings | Big sites that turned it away in that run | | `streak` | int64 | Consecutive published runs (about hourly) it has been on the list | | `uptime_24h` | int64 | Share of the published runs of the last 24 hours in which it was on the list, percent | | `uptime_7d` | int64 | Share of the published runs of the last 7 days in which it was on the list, percent | | `first_seen` | string | When it was first on the list, ISO 8601 UTC | | `snapshot_date` | string | The UTC day of the snapshot, `YYYY-MM-DD` | Sites are only checked for proxies with `https = true`, so both lists are empty for the others. For an HTTPS proxy, a site in neither list gave no clear answer or wasn't checked yet that day: google, reddit and amazon from the start, instagram and tiktok since 2026-09-28, discord since 2026-10-06. Fields that weren't measured yet on early days are null, and so are `asn`, `org`, `country`, `anonymity` and `exit_ip` when they're unknown. Every file has the same columns, so all days load as one table. Not being on the list in a run is not a measured failure, so `streak` and `uptime_*` describe list membership. From proxy-scraper 1.30 on, each row of the published `proxies.json` and of the daily `proxies-YYYY-MM-DD.json.gz` snapshots in the GitHub release also carries `checked_at` and `checks`: how each check ended (`passed`, `failed`, `unavailable` or `skipped`). The Parquet files here keep the fixed columns above. ## What it's good for - **Security monitoring:** open proxies that relay traffic right now – search them in login and outbound logs. - **Churn and lifetime:** `streak`, `uptime_*` and `first_seen` show how long entries stay on the list. Most of the entries that leave it had been on it for a single run. - **Who hosts open proxies:** `asn`, `org`, `hosting` and `country` over time. - **Site blocking:** how Google, Reddit, Amazon, Instagram, TikTok and Discord treat datacenter exits vs. other exits. ## Caveats - Free proxies are run by strangers: misconfigured servers, infected machines and traps. Don't send credentials or personal data through them. - Checks run from GitHub Actions in the US; a proxy can behave differently from another network. - A snapshot is the first published run of each UTC day; the live list on the [`proxy-list` branch](https://github.com/maximilianfeix/proxy-scraper/tree/proxy-list) and in [free-proxy-list](https://github.com/maximilianfeix/free-proxy-list) is rebuilt about every hour. This card is kept in the [proxy-scraper repository](https://github.com/maximilianfeix/proxy-scraper/blob/main/docs/huggingface/README.md) and uploaded with each daily snapshot. MIT licensed.