ClonBrowser Alternatives: Builder vs Your Own Script

Vendors in this category sell two different products under one word. Knowing which one you're buying is most of the decision.

Model A, the vendor-side flow. You assemble or adopt a sequence of steps inside the vendor's client: open URL, click this element, type that text, loop over a spreadsheet. The definition lives in the vendor's database. You schedule it against a set of browser profiles and watch a results table.

Model B, bring your own script. The vendor exposes a local HTTP API. You call it to launch a profile, it hands back a Chrome DevTools Protocol endpoint or a driver path, and your own Playwright, Puppeteer or Selenium code drives the page. The definition lives in your repository.

Marketing copy blurs these constantly, because "automation" sells either one. Four questions separate them:

1. Can you author a flow yourself, or only adopt one someone else published?
2. Is there a documented local API, and what exactly does the launch call return?
3. Can a flow call out to code, through a JavaScript step or an HTTP step?
4. When the target site changes its markup, who fixes the flow and how long does that take?

Question four is where the two models stop being equivalent. The failure shapes are not symmetrical:

A recorded click on "the third button in the toolbar" does not raise an error when a fourth button appears. It clicks the wrong thing, or nothing, and the run finishes. Multiply that by 300 profiles running nightly and you have a week of accounts doing nothing while a dashboard shows green. A scripted page.click('[data-testid="publish"]') throws a timeout, your process exits non-zero, and your alerting tells you at 02:04.

That asymmetry is not a reason to reject Model A. Plenty of account operations are genuinely repetitive and the UI route is faster to stand up. It is a reason to know, before you pay, which of the two you're getting and what the escape hatch costs.

ClonBrowser leads with automation. The homepage tagline is "Built for Automation, Beyond Browsing", and the product is described as "An automated fingerprint browser that manages hundreds of accounts through intelligent workflows". Feature blocks include Automation Workflow, Batch Task Scheduling, Auto Account Nurturing & Behavior Simulation, and Automated Data Collection & Intelligence. The site is operated by CLOUND NEXUS ECOM SERVICE CO., Limited, with a 2019 to 2026 copyright range.

The headline figures are vendor claims and none of them is independently verifiable: "500 M+ Automation Tasks Run", "1000+ Platforms Supported", "10x Efficiency Boost", and "Over the past 8 years, 100,000+ users worldwide have chosen ClonBrowser". A second counter on the same page reads "200,000+ Users Choose ClonBrowser", so the two user figures on one homepage disagree by a factor of two. Treat all of these as marketing, not as measurements.

Pricing is a single Pro ladder plus a free tier. Read from the pricing page on 2026-10-09, monthly USD, with "-20%" shown for annual billing:

The free tier gets "Dual fingerprint engines for Chrome and Firefox", three fingerprint modes and HTTP/HTTPS/SOCKS5/SSH proxy support, but zero team members. Pro adds encrypted cross-device sync, bulk extension management, Trojan and Vmess proxy protocols, proxy forwarding to other devices, team permissions, a "Group control synchronizer", and "RPA automation to let bots handle repetitive tasks".

That is a genuinely cheap entry point for RPA. $6 a month for 50 isolated environments with a flow engine is less than most competitors charge for API access alone. The question is what the flow engine lets you do.

ClonBrowser's help centre, read on 2026-10-09, carries 30 articles. Four of them cover RPA: an introduction, how to use it, how to view execution results, and what to do when it runs unstably. Across the whole help centre there is no article on a local API, on Selenium, on Puppeteer, on Playwright, or on the Chrome DevTools Protocol. The scripting sections that AdsPower, MoreLogin and Octo Browser all publish have no counterpart here.

The "How to use RPA" page is explicit about where flows come from. Step one is titled "Get a Script (Two Methods)", and the two methods are:

Search the script marketplace for what you want to do (e.g., "list," "change price," "post," "download report"), click get/add to my scripts.

If you can't find a suitable RPA script, contact official customer support to customize one.

There is no third method. The documented path has no step where you build the flow yourself. After you adopt a script you configure its exposed parameters, which the page lists as target site or entry URL, input data such as product title or price or file path, and an "Execution strategy (whether to loop, whether to add intervals, whether to retry on failure)". Then you pick environments, choose run-now or scheduled, set a concurrency mode and an execution count.

The homepage also advertises building workflows "using natural language". No help centre article documents that, so if it's the deciding feature for you, ask to see it in a trial before paying.

One more number worth holding against the marketing. The help centre's own concurrency guidance reads: "Beginners: First get 1 environment working", "Experienced: 3-5 environments concurrently", "Large scale: Use batched queuing + intervals to reduce pressure and anomaly probability". The homepage talks about managing hundreds of accounts. Both can be true, since queued batches are not simultaneous runs, but a buyer reading "hundreds" should know the documented simultaneous figure for an experienced user is 3 to 5.

ClonBrowser's own FAQ asks the question directly, and the answer is the most useful thing on the site for anyone evaluating it:

RPA scripts usually depend on page element positions or button structures. After a page redesign: buttons may not be found, click positions may be off, form fields may change

Its documented remedies are:

Prioritize updating to a new version of the script from the marketplace

For custom scripts, contact official customer support for redesign adaptation

Read that as an operational dependency. When Instagram or Amazon Seller Central moves a button, your fix arrives when a marketplace author republishes or a support ticket gets worked, and no vendor in this category publishes a turnaround time for either. If revenue depends on a flow running Tuesday, that gap is the risk you're buying.

The companion page, "What to do if RPA runs unstably", is instructive for a different reason. It lists the symptoms you'd expect, including "Element recognition errors" and "Process stops midway", and attributes them almost entirely to the machine: human operations changing "window focus, page state, or mouse position", computer sleep, network disconnection, automatic system updates, "popup windows, resolution changes, network fluctuations". The recommendations follow: run RPA on a separate computer, keep the network stable, disable auto-lock and sleep, close unrelated software. Selector and DOM changes are not named as a root cause on that page at all, even though the FAQ on the neighbouring page confirms a redesign breaks scripts.

The takeaway is not that recorded flows are bad. It's that element matching is the brittle joint in every browser automation stack, UI-built or scripted, and the two models hand you different amounts of control over it. Recorded flows bind to whatever the recorder captured, often a positional or class-based path. Hand-written selectors can bind to what designers change less often: data-testid, aria-label, name, or a role plus accessible name. Longer treatment in XPath and CSS selectors for web scraping.

The other half of the control you get from code is the ability to fail loudly. A flow that asserts its own outcome cannot report success after doing nothing:

# loud_step.py - assert the post-condition, not just the click.
# A recorded flow that clicks nothing still "finishes". This does not.
from playwright.sync_api import sync_playwright, TimeoutError as PWTimeout

PUBLISH = '[data-testid="publish-button"]'
CONFIRMED = 'text=/Your post is live/i'


def publish(page, body: str) -> None:
    page.fill('[aria-label="Post text"]', body)
    page.click(PUBLISH)
    # The assertion is the point. If the confirmation never appears,
    # this raises and the process exits non-zero.
    page.wait_for_selector(CONFIRMED, timeout=15_000)


def main(cdp_url: str, body: str) -> int:
    with sync_playwright() as p:
        browser = p.chromium.connect_over_cdp(cdp_url)
        page = browser.contexts[0].pages[0]
        try:
            publish(page, body)
        except PWTimeout:
            # Name the selector that went missing, not just "failed".
            print(f"DRIFT: no confirmation after clicking {PUBLISH}")
            page.screenshot(path="drift.png", full_page=True)
            return 1
    return 0


if __name__ == "__main__":
    import sys
    sys.exit(main(sys.argv[1], sys.argv[2]))

That wrapper converts a silent no-op into an error you can read and a screenshot you can look at. No RPA builder here gives you an equivalent you can version and test.

AdsPower is the only product in this shortlist that publishes full documentation for both models, and the only one whose visual builder contains an escape hatch into code.

The RPA User Guide is organised as Get Started, User Guide (Feature Intro, Marketplace, Term Explanation, Web Actions, Keyboard Actions) and Use Cases. The Use Cases list is a fair preview of how far the builder goes: "Import Data from Excel", "Import Data from Txt + Random Extraction", "Import Data from Excel + Extract Field", "For Loop Data", "For Loop Elements". The Web Actions page, last modified 2025-04-23, documents 16 actions: New Tab, Close Tab, Close Other Tabs, Switch Tabs, Access Website, Refresh Webpage, Go Back, Screenshot, Hover, Drop-down, Focus, Click, Input, Scroll, Input File, and Execute JavaScript.

That last one matters more than the other fifteen combined. "Execute JavaScript" means a flow built in the UI can run code you wrote. When a vendor-side step cannot express what you need, you drop into JS inside the same flow rather than abandoning the builder. Among the five alternatives here, it is the only documented bridge between the two models inside one artefact.

The Local API documentation is separate and carries a last-modified date of 2024-01-24. It covers Overview and Connection Status, Browser (Open Browser, Open Browser V2, Close Browser, Close Browser V2, three Check Browser Status variants including a cross-device one), Proxy add/update/delete/query, Groups, Extensions, and a long Profiles section with create, update, query, delete, move, share, delete cache and query profile cookies. A /status path exists purely to "check the availability of the current device API interface".

The launch call is GET /api/v1/browser/start with a required user_id, plus optional headless, launch_args, clear_cache_after_closing, cdp_mask and others. The documented success response is what you want to see from a local API:

{
  "code": 0,
  "data": {
    "ws": {
      "selenium": "127.0.0.1:xxxx",
      "puppeteer": "ws://127.0.0.1:xxxx/devtools/browser/xxxxxx"
    },
    "debug_port": "xxxx",
    "webdriver": "C:\\xxxx\\chromedriver.exe"
  },
  "msg": "success"
}

Both a CDP websocket and a matching chromedriver path, so Playwright, Puppeteer and Selenium all attach without hunting for a driver build:

# adspower_attach.py - launch an AdsPower profile, then drive it yourself.
import sys
import requests
from playwright.sync_api import sync_playwright

LOCAL = "http://local.adspower.net:50325"  # confirm the port your client prints


def launch(profile_id: str) -> dict:
    r = requests.get(
        f"{LOCAL}/api/v1/browser/start",
        params={"user_id": profile_id, "open_tabs": 0, "ip_tab": 0},
        timeout=60,
    )
    payload = r.json()
    if payload.get("code") != 0:
        sys.exit(f"launch refused: {payload.get('msg')}")
    return payload["data"]


def main(profile_id: str) -> None:
    data = launch(profile_id)
    with sync_playwright() as p:
        browser = p.chromium.connect_over_cdp(data["ws"]["puppeteer"])
        page = browser.contexts[0].pages[0]
        page.goto("https://www.sparkproxy.io/", wait_until="domcontentloaded")
        print(page.title())
    requests.get(f"{LOCAL}/api/v1/browser/stop",
                 params={"user_id": profile_id}, timeout=30)


if __name__ == "__main__":
    main(sys.argv[1])

Two cautions. First, pin the base URL and port from what your own client reports rather than copying one from a blog post, because AdsPower has shipped more than one local listener across versions and the docs describe paths rather than a fixed origin. Second, the official sample repository, AdsPower/localAPI on GitHub, was last pushed on 2023-12-05 and carries 106 stars with no licence file as of 2026-10-09. The hosted documentation is maintained; the sample code is not. Read the docs, write your own client.

Pricing is the weak spot for a like-for-like comparison. The Free plan is explicit: 2 profiles, 0 members, "free forever", plus one super-administrator. Above that, the pricing page renders monthly figures from a profile-count selector and a currency dropdown rather than printing a plan table, so there's no single honest number to quote here. What the page does state plainly is which tier carries the automation surface: "RPA robot", "Local API (900 requests/minute)" and "Synchronizer" appear on the Business plan, while Enterprise covers "5000+" profiles at "Price upon request" with "Local API (1500 requests/minute)". A 7-day full-feature trial is offered, with 15% off quarterly and 40% off annual billing.

Those rate limits are worth noticing on their own. A documented 900 requests per minute is the kind of number you can plan a launch queue around. ClonBrowser has no equivalent figure because it has no documented API to meter.

What AdsPower does not fix: a flow you build in its RPA editor is still stored in AdsPower. The Execute JavaScript steps inside it are yours in the sense that you wrote them, but the surrounding flow graph does not export to a file you can commit.

MoreLogin covers both models too, with a different centre of gravity. Its help centre splits them into separate collections.

Under Efficiency Tools, the RPA section has three articles: "MoreLogin Automation Guide", "Template Market User Guide", and "Custom Template". The third title is the one ClonBrowser's help centre lacks. A documented custom-template path means authoring is a supported activity, not a support request. The same collection lists an AI Hub with "Creator Center" and "Commander", plus Cloud Storage management.

The other collection is titled "API & MCP", 16 articles, described as achieving automation by calling API interfaces. It covers Instructions, Header Public Parameters, interface documentation for Browser Profile, Proxy Management, Group Management and Tag Management, appendices for fonts, TLS values and time zones, plus a webhook section and an ADB connection path for cloud phones. The MCP listing is notable: an exposed Model Context Protocol surface means an agent framework can drive profiles without you writing a client at all.

The Browser Profile article, current as of 2026-06-02, documents POST /api/env/start, POST /api/env/close and POST /api/env/status. The start response carries envId, debugPort and webdriver, the path to a driver executable matching the profile's browser kernel. Status returns running or stopped alongside the same port and driver fields.

Authentication is the part to read carefully. Four headers are required: Content-Type, X-Api-Id, X-Nonce-Id and Authorization. The documentation specifies the signature as "MD5 (API ID+NonceId+SecretKey)", with the nonce being a "globally unique ID, generated by the caller".

# morelogin_start.py - build the documented header set and launch a profile.
import hashlib
import time
import uuid
import requests

BASE = "http://127.0.0.1:40000"  # confirm the port in your client's API settings
API_ID = "your-api-id"
SECRET = "your-api-key"


def headers() -> dict:
    nonce = uuid.uuid4().hex
    digest = hashlib.md5(f"{API_ID}{nonce}{SECRET}".encode()).hexdigest()
    return {
        "Content-Type": "application/json",
        "X-Api-Id": API_ID,
        "X-Nonce-Id": nonce,
        "Authorization": digest,
    }


def start(env_id: str) -> dict:
    r = requests.post(f"{BASE}/api/env/start", json={"envId": env_id},
                      headers=headers(), timeout=90)
    body = r.json()
    if body.get("code") != 0:
        raise RuntimeError(f"start failed: {body.get('msg')!r}")
    return body["data"]


def wait_running(env_id: str, attempts: int = 20) -> dict:
    for _ in range(attempts):
        r = requests.post(f"{BASE}/api/env/status", json={"envId": env_id},
                          headers=headers(), timeout=30)
        data = r.json().get("data") or {}
        if data.get("status") == "running" and data.get("debugPort"):
            return data
        time.sleep(1.5)
    raise TimeoutError(f"{env_id} never reported running")


if __name__ == "__main__":
    start("1795695767353204736")
    info = wait_running("1795695767353204736")
    print("attach Playwright to http://127.0.0.1:" + str(info["debugPort"]))

Two engineering observations, offered as design notes rather than vulnerability claims. MD5 over a concatenation of identifier, nonce and secret is a scheme you'd flag in review today: the secret is fed into MD5 on every call, there's no timestamp in the digest, and the concatenation has no separators, so field boundaries are ambiguous. And because the nonce is caller-generated with no documented replay window, treat it as an authentication token in transit, which means keeping the listener bound to localhost and never proxying it.

Pricing, read on 2026-10-09: a Free plan at "$0/month" with 2 profiles and 2 team members, with API and automation support included; a Pro plan at "$5.4/month" presented as 40% off a "$9/month" regular rate, with 10 profiles; and a Custom plan for larger profile and team counts. Selenium and Puppeteer automation is listed across all three tiers.

Two profiles is tiny. It is also the only free tier in this group where you can test both automation models before paying anything, which makes it the cheapest way to answer "will my flow even work here" without a card.

Incogniton belongs on the shortlist because it implements a third model that neither of the first two describes.

The homepage, under the headline "The Anti-Detect Browser Built for Multi-Account Management", lists a feature called Synchronizer, described as letting you "Copy actions from one browser profile to others and avoid repetitive tasks". That is not a recorded flow replayed later. It is live mirroring: you drive one window by hand and your actions propagate to the others in real time. ClonBrowser's "Group control synchronizer" is the same idea, so this is familiar ground if you're coming from there.

Live mirroring fails differently. Nothing is stored, so nothing rots when a page is redesigned: you're looking at the new layout while you click it. The cost is that a human has to be present, so it never runs at 02:00, and the work does not scale past what one operator can supervise. For account warm-up and small content pushes that's often an acceptable trade. For anything unattended it isn't automation at all.

Alongside it, the site advertises "Selenium/REST API Automation" with the wording "Automate online browser operations with Selenium, Puppeteer or REST API". So Model B exists here as well.

The pricing page is where prospective ClonBrowser switchers should slow down. Figures read 2026-10-09, shown at the 6-month billing rate with the regular monthly rate in brackets, with "6 Months -30%" and "Yearly -40%" available:

The free tier gives 10 browser profiles with no credit card, which looks like a straight match for ClonBrowser's 10 free environments. It isn't, on this axis. Neither the free tier nor Starter Plus includes the Synchronizer or the Selenium and Puppeteer integration, so a free-to-free comparison tells you nothing about automation. The real floor is Entrepreneur at $20.99 per month on 6-month billing, or $29.99 month to month, which is three to five times ClonBrowser's $6 Pro entry. You are paying for a documented scripting surface and a mirroring tool that ClonBrowser's $6 tier covers with marketplace scripts instead.

Octo Browser takes the opposite position to ClonBrowser and states it openly. The site lists API Automation as a core function, advertises a "Universal API with Detailed Documentation", and frames the benefit as: "Work in any programming language of your choice, managing profiles in automatic or hybrid mode". Nowhere does it advertise a no-code or visual flow builder, and its documentation has no RPA section. There is no script marketplace to adopt from and no template to configure. If you want a flow, you write one.

The local API, documented on Octo's own blog guide, listens on http://localhost:58888. Starting a profile is POST /api/profiles/start with a JSON body, and the documented parameters are uuid, headless, debug_port, timeout, only_local, flags and password. With the debug port enabled, the response carries a connection address in the shape ws://127.0.0.1:53215/devtools/browser/.... The cloud-side Public API authenticates with an X-Octo-Api-Token header.

# Start a profile with the automation port on, then read back the ws endpoint.
curl -s -X POST http://localhost:58888/api/profiles/start \
  -H 'Content-Type: application/json' \
  -d '{
        "uuid": "YOUR_PROFILE_UUID",
        "headless": false,
        "debug_port": true,
        "only_local": true,
        "flags": ["--start-maximized"]
      }'

# octo_attach.py - take the ws endpoint from the start call and drive the page.
import json
import subprocess
import sys
from playwright.sync_api import sync_playwright

START = "http://localhost:58888/api/profiles/start"


def start(uuid: str) -> str:
    body = json.dumps({"uuid": uuid, "debug_port": True, "only_local": True})
    out = subprocess.run(
        ["curl", "-s", "-X", "POST", START,
         "-H", "Content-Type: application/json", "-d", body],
        capture_output=True, text=True, check=True,
    ).stdout
    data = json.loads(out)
    endpoint = (data.get("ws_endpoint") or data.get("data", {}).get("ws_endpoint"))
    if not endpoint:
        sys.exit(f"no ws_endpoint in response: {out[:200]}")
    return endpoint


def main(uuid: str) -> None:
    with sync_playwright() as p:
        browser = p.chromium.connect_over_cdp(start(uuid))
        page = browser.contexts[0].pages[0]
        page.goto("https://www.sparkproxy.io/", wait_until="domcontentloaded")
        print(page.url, "|", page.title())


if __name__ == "__main__":
    main(sys.argv[1])

Pricing is in euros and the API is gated. Figures read 2026-10-09, monthly, with 10% off three months, 20% off six and 30% off annual:

Base at €79 per month is the automation floor, and it buys you the API and nothing that writes flows for you. For a solo operator currently paying $6 for ClonBrowser Pro with 50 environments and a script marketplace, that is not a swap, it's a change of category: the licence cost goes up roughly thirteenfold and the engineering time goes from zero to real. The trade you're buying is control, a documented contract, and an automation stack that fails in a way you can observe.

Where it pays off is team scale. Advanced at €329 covers unlimited team members, and the API is identical at every tier that has it, so a 600-profile operation with two engineers lands at a very different cost per profile than a 50-profile one. More on the hosted variants of that trade in cloud antidetect browsers.

If the authoring question is what sent you looking, the end of the axis is a browser with no builder, no marketplace, no support queue and no licence.

Camoufox is an open-source anti-detect Firefox build with a Playwright-compatible Python interface. Read from GitHub on 2026-10-09: the daijro/camoufox repository is MPL-2.0 licensed, carries 12,428 stars, was last pushed on 2026-10-08, and shows 84 open issues. The latest release is tagged v156.0.1-beta.36, published 2026-10-06. That is active maintenance by any reading, with releases landing days apart. It is also still a beta tag, which is a real consideration if you need something you can pin and forget.

Usage follows Playwright exactly, which is the whole point:

# camoufox_run.py - no vendor, no builder, a flow you own.
from camoufox.sync_api import Camoufox

PROXY = {
    "server": "http://gateway.sparkproxy.io:11000",
    "username": "YOUR_PROXY_USER",
    "password": "YOUR_PROXY_PASS",
}

MARKER = "text=/Residential Proxies/i"


def main() -> int:
    # geoip=True derives longitude, latitude, timezone, country and locale
    # from the exit IP, so the profile and the proxy agree.
    with Camoufox(headless=True, proxy=PROXY, geoip=True, humanize=True) as browser:
        page = browser.new_page()
        page.goto("https://www.sparkproxy.io/", wait_until="domcontentloaded")
        if page.query_selector(MARKER) is None:
            print(f"DRIFT: marker missing -> {MARKER}")
            return 1
        print("ok:", page.title())
    return 0


if __name__ == "__main__":
    raise SystemExit(main())

The geoip parameter is documented as calculating "longitude, latitude, timezone, country, & locale based on the IP address", taking either a target IP or True to resolve it automatically. That single flag removes the most common consistency bug in self-built antidetect stacks, a German exit IP reporting a New York timezone. Our comparison of Camoufox and Playwright Firefox goes into what the build actually patches.

For Chromium rather than Firefox, the equivalent project is Patchright, described in its repository as the "Undetected version of the Playwright testing and automation library". Read on 2026-10-09: Apache-2.0, 4,804 stars, last pushed 2026-10-07, 5 open issues. It installs as a drop-in replacement, so existing Playwright code moves across with an import change.

What you take on with either: profile storage, cookie lifecycle, proxy assignment, concurrency control and the upgrade treadmill are all yours now. Those are the parts a $6 ClonBrowser subscription was quietly doing. Budget a week of engineering before the first account runs, and see why antidetect browsers need proxies for the network layer that stops being optional once the browser stops managing it.

Every figure below was read from the vendor's own page, repository or documentation on 2026-10-09.

Multilogin, Kameleo and Dolphin Anty all publish automation APIs as well, and each sits in the same quadrant as Octo Browser on this axis, so none of them changes the answer to the authoring question; they're compared on other grounds elsewhere on this blog.

The pattern in that table is the point. Flow authoring and code access are priced independently, and the cheapest product here is cheapest precisely because it gives you neither. ClonBrowser's $6 Pro tier is not underpriced. It's priced for a buyer who wants someone else's flow to run on their accounts.

Here is the part almost nobody in this category tells you: a flow is data, and data belongs in a file you control. You do not have to choose between a UI you can't export and a thousand lines of Playwright.

SparkProxy's Scraping API makes the point concrete, because its js_scenario parameter is exactly a flow definition expressed as JSON. It takes an object with an instructions array of up to 50 entries, where each instruction's key is the action name. The documented actions are click, wait_for, fill, wait, scroll, evaluate and screenshot. It requires render_js=true and costs 5 credits on top of the render.

Which means your step list can look like this, and live in git next to your code:

{
  "instructions": [
    { "wait_for": "#search" },
    { "fill": ["#search", "residential proxies"] },
    { "click": "button[type=submit]" },
    { "wait_for": "[data-testid=\"results\"]" },
    { "scroll": 1200 },
    { "wait": 800 },
    { "evaluate": "document.querySelectorAll('[data-testid=\"results\"] article').length" }
  ]
}

That file diffs. It gets reviewed in a pull request. It carries a commit message explaining why step four changed. And when you eventually need something js_scenario can't express, a short translator turns the same array into Playwright calls, because the action names map one to one. None of that is possible with a flow that exists only as rows in a vendor's database.

The second thing a repo-resident flow buys you is a drift canary: a scheduled, external check that tells you the page moved before 300 profiles run a flow that matches nothing. Run it against the public version of your target, on a schedule, and have it fail loudly.

The envelope matters here. json_response=true is the only thing that gives you the metadata wrapper, and the page content inside it is base64, so you decode before you match anything:

# selector_canary.py - fail loudly when the target's markup moves.
#   python selector_canary.py flow.json
import base64
import json
import sys
import requests

ENDPOINT = "https://scrape.sparkproxy.io/api/v1"
API_KEY = "YOUR_API_KEY"
TARGET = "https://example.com/seller/listings"

# The markers your flow depends on. Keep this list next to the flow file.
MARKERS = [
    'data-testid="results"',
    'id="search"',
    'button[type=submit]',
]


def fetch(scenario: dict) -> dict:
    r = requests.get(
        ENDPOINT,
        headers={"X-API-Key": API_KEY},
        params={
            "url": TARGET,
            "render_js": "true",          # required by js_scenario
            "js_scenario": json.dumps(scenario),
            "country_code": "de",
            "json_response": "true",      # the ONLY source of the envelope
            "proxy_type": "premium",
        },
        timeout=180,
    )
    r.raise_for_status()
    return r.json()


def main(path: str) -> int:
    scenario = json.loads(open(path, encoding="utf-8").read())
    env = fetch(scenario)
    # body is base64 in the envelope. Decode before matching anything.
    html = base64.b64decode(env["body"]).decode("utf-8", "replace")
    print(f"job={env.get('job_id')} status={env.get('status_code')} "
          f"ms={env.get('duration_ms')} credits={env.get('credits_used')}")

    missing = [m for m in MARKERS if m not in html]
    if missing:
        for m in missing:
            print(f"DRIFT: marker absent -> {m}")
        return 1
    print(f"all {len(MARKERS)} markers present")
    return 0


if __name__ == "__main__":
    raise SystemExit(main(sys.argv[1]))

Put that on a daily schedule and a page redesign reaches you as an alert, not as a week of accounts quietly doing nothing. If your vendor's remedy is "wait for the marketplace to republish", knowing a day early is worth a lot.

Be clear about what this does and does not replace. The scenario runs in SparkProxy's browser on a SparkProxy exit, not inside your logged-in account profile, and it caps at 50 instructions. So it is a canary and a public-page collector, not an account driver. It tells you when the ground moved under the flows running in your profile browser.

Credits, so the budgeting is honest: render_js defaults to true and costs 5 credits, js_scenario adds 5, and country_code adds 5, so the call above is 15 credits. Setting render_js=false makes it a plain fetch at 1 credit, and batch mode (which requires render_js=false) charges 1 credit for the whole batch. New accounts get 1,000 free credits, and the arithmetic is broken down in scraping API credit pricing explained.

For the account-driving half, the network layer is the same whichever model you pick. SparkProxy plans start from $75 per month with unlimited bandwidth, so the billing unit is the plan and its concurrency rather than traffic consumed, which suits automation that scrolls and loads images all night. The pool is 1M+ premium IPs across 80+ countries, with random rotation and 5-minute auto-rotation, HTTP/HTTPS/SOCKS5, IP whitelist or user:pass auth, and 1 Gbps ports. There's a 24-hour free trial with no credit card, and term discounts of 5% at three months, 10% at six and 15% at twelve.

Write down two numbers before you switch anything. They decide the model, and nothing else on a pricing page will.

Number one: how many of your flows contain a step no published template covers? If the answer is zero, the marketplace model is genuinely efficient and you should not pay for an API you won't call. If the answer is more than one or two, you are going to be writing support tickets as a routine operating cost.

Number two: how many hours last quarter did you lose to a flow that ran and did nothing? That's the price of silent failure, and it's the number that justifies either a code step or an external canary.

With those in hand:

• You want flows today and will never write code. Start on MoreLogin's free tier, because it's the only one here that lets you test both a Template Market flow and the API on two profiles for nothing. Move to AdsPower Business when you need the documented 900 requests per minute and an Execute JavaScript step. Accept that the flow graph stays in the vendor's product.
• You already have Playwright or Puppeteer code. Octo Browser Base at €79 per month or Camoufox at no licence cost. Octo if you want a managed profile store, team seats and a vendor to call; Camoufox if you want no vendor in the stack at all and are willing to own profile storage.
• You need both halves in one artefact. AdsPower, because Execute JavaScript inside the visual builder is the only documented bridge among these five. Nothing else lets a UI-built flow call code you wrote.
• You need unattended runs at small scale with zero engineering. Incogniton Entrepreneur at $20.99 per month on 6-month billing, with the Synchronizer for supervised work and the Selenium path for the rest. Note that the free tier and Starter Plus have neither.
• You're on ClonBrowser's $6 Pro and it works. Stay. Nothing in this list matches $6 for 50 environments with a flow marketplace attached, and switching for the sake of an API you haven't written against yet is a worse use of the money than a drift canary pointed at your three busiest targets. Revisit when number one above stops being zero.

If you do move, treat profiles as a rebuild rather than a transfer, keep the old subscription running through the overlap, and follow the runbook in how to migrate antidetect browser profiles. The broader selection criteria, fingerprint sourcing and platform coverage included, are covered in how to choose an antidetect browser, and the detection side in antidetect browser fingerprint protection.

One last thing to test in any trial, whichever side of the axis you land on: ask the vendor to show you the flow leaving the product. Not a screenshot of the editor, a file. If no file exists, you have priced the subscription correctly and the flow at zero, which is what it's worth to you the day you cancel.