ScrapeUnblocker Python client

Official Python client for the ScrapeUnblocker web scraping API.

Every request is fully JavaScript-rendered in a real browser and routed through premium proxies, so it bypasses Cloudflare, DataDome, PerimeterX, Akamai, Kasada and similar anti-bot systems - from one simple call. You are only billed for successful requests.

• Highest success rate on the market (95%+ on live production traffic)
• Rendered HTML or parsed JSON - no per-site parsers to maintain
• Sync and async clients, fully type-hinted

Install

pip install scrapeunblocker

Requires Python 3.8+.

Quickstart

from scrapeunblocker import Client

su = Client(api_key="YOUR_API_KEY")   # or set the SCRAPEUNBLOCKER_KEY env var

# Rendered HTML for any URL
html = su.get_page_source("https://example.com")

# Structured JSON instead of HTML (products, listings, search results, ...)
product = su.get_parsed("https://www.amazon.com/dp/B08N5WRWNW")
print(product.page_type)   # "product"
print(product.data)        # {...}

Get your API key at app.scrapeunblocker.com. The free trial does not require a credit card.

Authentication

Pass the key directly, or set an environment variable and omit it:

export SCRAPEUNBLOCKER_KEY="YOUR_API_KEY"

from scrapeunblocker import Client
su = Client()   # reads SCRAPEUNBLOCKER_KEY

Fetch rendered HTML

html = su.get_page_source(
    "https://www.nordstrom.com/browse/women/clothing/dresses",
    proxy_country="US",     # route through a specific country
    time_sleep=3,           # wait extra seconds after load
)

Browser steps

Drive the page in a real browser after it loads - click, type, wait for content, scroll - then capture the result. Pass an ordered list of action dicts; they run in sequence:

html = su.get_page_source(
    "https://example.com/search",
    steps=[
        {"action": "type", "selector": "#q", "value": "wireless earbuds", "clear": True},
        {"action": "press_key", "value": "Enter"},
        {"action": "wait_for", "selector": ".results"},
        {"action": "scroll", "value": "bottom"},
    ],
)

Supported actions: wait_for (selector, selector_type?, timeout_ms?), wait_for_text (value, timeout_ms?), wait (value ms), click, type (value, clear? - human-like typing), select (value), press_key (value one of Enter, Tab, Escape, Backspace, Delete, Space, ArrowUp/Down/Left/Right, Home, End, PageUp, PageDown) and scroll (value = "bottom" or an int pixel amount). selector_type is one of css (default), xPath, className or tagName.

A request with steps runs once and is non-idempotent. If a step fails (a selector never appears, a wait_for_text times out), the call raises StepFailedError with the details:

from scrapeunblocker import StepFailedError

try:
    su.get_page_source(url, steps=[{"action": "click", "selector": "#missing"}])
except StepFailedError as e:
    print(e.step_index, e.action, e.reason, e.selector)
    print(e.html)   # page HTML captured at the moment the step failed

StepFailedError subclasses ValidationError (HTTP 422), so except ValidationError still catches it.

List elements

Ask the API to return the page's interactive/labelled elements as JSON instead of HTML - handy for discovering the selectors to feed into steps:

result = su.get_page_source("https://example.com", list_elements=True)
print(result["count"])
for el in result["elements"]:
    print(el["tag"], el["selector"], el.get("text"), el.get("aria_label"))

With list_elements=True the method returns a dict ({"url", "count", "elements": [...]}) rather than an HTML string.

Get parsed JSON

Pass a URL and get back structured data extracted via Schema.org, __NEXT_DATA__ or AI-generated rules:

result = su.get_parsed("https://www.walmart.com/ip/12345")
print(result.page_type)    # e.g. "product"
print(result.source)       # how it was extracted
print(result.data)         # the fields

# If a parse ever comes back wrong, force a fresh set of rules:
result = su.get_parsed(url, refresh_rules=True, rules_hint="price is missing")

Google search (SERP)

serp = su.serp("web scraping api", pages_to_check=2, proxy_country="US")

Google Local (Maps)

# Local business listings for a search and market
local = su.google_local("coffee shops in chicago", proxy_country="US", gl="us")
for biz in local["results"]:
    print(biz["name"], biz["rating"], biz["reviews"], biz["address"])

Meta Ad Library

# Ads an advertiser is running in the Meta/Facebook Ad Library
ads = su.meta_ad_library("Nike", country="US")
for ad in ads["results"]:
    print(ad["ad_text"], ad["cta_text"], ad["display_format"], ad["is_active"])
    print("  link:", ad["link_url"], "platforms:", ad["platforms"])

Oopbuy product search

# Search Oopbuy sourcing channels (1688, Taobao, official)
goods = su.oopbuy_search("wireless earbuds", channel="1688", sort="best_selling")
for item in goods["results"]:
    print(item["title"], item["price"], item["monthSold"], item["url"])

eBay search

# Listings from any regional eBay marketplace
items = su.ebay_search("iphone 13", marketplace="ebay.com", condition="used")
if items["exactMatches"]:
    for item in items["results"]:
        print(item["title"], item["price"], item["currency"], item["condition"])
        print("  seller:", item["seller"]["username"], item["seller"]["feedbackPercent"])

Amazon

# One product by ASIN (or url="https://www.amazon.de/dp/B0BSHF7WHW")
product = su.amazon_product(asin="B0BSHF7WHW", marketplace="amazon.com")
print(product["title"], product["price"], product["currency"], product["rating"])

# Keyword search - prices come back in the marketplace's currency
results = su.amazon_search("wireless headphones", sort="price_asc")
for item in results["results"]:
    print(item["title"], item["price"], item["currency"], item["asin"])

Prices are returned in the marketplace's own currency: proxy_country defaults to the marketplace's home country (amazon.com -> US, amazon.de -> DE), so you do not have to configure the exit yourself.

eBay: exact matches

exactMatches is False when eBay found nothing for the keyword and returned its own loosely-related suggestions instead, so check it before using the listings.

Cookies and the serving proxy

page = su.get_page_with_cookies("https://example.com")
print(page.html, page.cookies, page.proxy)

Images

data = su.get_image("https://example.com/photo.jpg")
open("photo.jpg", "wb").write(data)

Skyscanner plugins

# Resolve a place name to entity IDs, then search
locs = su.skyscanner.flight_locations("London")
flights = su.skyscanner.flights(
    origin="London", dest="New York",
    depart_date="2026-09-01", adults=1, currency="USD",
)

hotels = su.skyscanner.hotels(destination="Madrid", checkin="2026-09-01", checkout="2026-09-03")
cars = su.skyscanner.carhire(pickup="Madrid", pickup_datetime="2026-09-01T10:00", dropoff_datetime="2026-09-03T10:00")

Async

Every method has an async twin on AsyncClient:

import asyncio
from scrapeunblocker import AsyncClient

async def main():
    async with AsyncClient(api_key="YOUR_API_KEY") as su:
        html = await su.get_page_source("https://example.com")

asyncio.run(main())

Error handling

Non-2xx responses raise typed exceptions, all subclasses of ScrapeUnblockerError:

from scrapeunblocker import (
    Client,
    BlockedError,
    PaymentRequiredError,
    RateLimitError,
    UpstreamOutageError,
)

su = Client()
try:
    html = su.get_page_source("https://example.com")
except BlockedError:
    ...   # 403: the target blocked every bypass path (not billed)
except PaymentRequiredError:
    ...   # 402: quota, credit limit, or a failed payment - fix billing
except RateLimitError:
    ...   # 429: slow down
except UpstreamOutageError:
    ...   # 503: the target site itself is down - retry later

Every one of these subclasses ScrapeUnblockerError, so a single except ScrapeUnblockerError still catches everything, and the 402 and 401 subclasses can be caught by their base class when you do not need to tell them apart.

Transient failures (429, 502, 503, 504 and network errors) are retried automatically with exponential backoff; tune with Client(max_retries=...). A 401 or 402 is never retried - it clears when the key or the billing state changes, not on another attempt. Neither is billed or counted against your quota, because the request is refused before anything is scraped.

Billing errors (402)

The three billing blocks share a status code and differ only in their message, so the client raises a dedicated exception for each:

from scrapeunblocker import (
    Client,
    CreditLimitExceededError,
    PaymentFailedError,
    QuotaExceededError,
)

su = Client()
try:
    html = su.get_page_source("https://example.com")
except QuotaExceededError:
    ...   # plan quota (plus any overage allowance) is used up for this period
except CreditLimitExceededError:
    ...   # unpaid balance passed the account credit limit
except PaymentFailedError:
    ...   # card declined three times - update the payment method

When more than one applies, the most serious wins: failed payment outranks credit limit, which outranks quota. All three lift by themselves once the billing state changes - access returns within about a minute, and the API key stays the same. One catch worth knowing: subscribing to a new plan does not clear PaymentFailedError, because the old unpaid invoice stays open until it is paid.

Full details for every status code: developers.scrapeunblocker.com/errors.

Configuration

Client(
    api_key=None,          # or SCRAPEUNBLOCKER_KEY env var
    base_url="https://api.scrapeunblocker.com",
    timeout=180.0,         # seconds; protected pages can be slow
    max_retries=2,
)

Links

• Documentation: developers.scrapeunblocker.com
• Website: scrapeunblocker.com
• Dashboard: app.scrapeunblocker.com

License

MIT