MrScraper Python SDK
A Simple Python SDK for the MrScraper web-scraping API. Supports async / await usage.
Installation
pip install mrscraper-sdk
Requires Python 3.9+.
Authentication
Every client is initialised with your MrScraper API token. Get yours at https://app.mrscraper.com.
from mrscraper import MrScraper
client = MrScraper(token="MRSCRAPER_API_TOKEN")
Quick Start
Fetch raw HTML (stealth browser)
Fetch the rendered HTML of a page using the MrScraper stealth browser. Handles JavaScript rendering, bot detection evasion, and optional geolocation proxying.
result = await client.fetch_html(
"https://stockx.com/air-jordan-1-retro-low-og-chicago-2025",
html=True,
geo_code="US",
timeout=120,
browser_rendering=True,
super_mode=False,
use_proxy=True,
wait_for_selector="body",
home_page=True,
block_resources=False,
headers={"accept-language": "en-US,en;q=0.9"},
)
Set home_page=True when a site is more reliable after first visiting its
root page. This lets the browser establish cookies and session state before
opening the target URL, which can help with some anti-bot checks.
| Parameter | Type | Default | Description |
|---|---|---|---|
url |
str |
(required) | Target URL to scrape |
timeout |
int |
120 |
Maximum seconds to wait for the page to load |
geo_code |
str |
"US" |
ISO country code for proxy-based geolocation (e.g. "US", "GB", "ID", "SG") |
proxy_country |
str | None |
None |
Compatibility proxy-country field sent as proxyCountry |
block_resources |
bool | None |
False |
When True, blocks images, CSS, and fonts to speed up the request |
browser_rendering |
bool | None |
None |
True enables a browser, False disables it, and None allows automatic fallback |
super_mode |
bool |
False |
Use real-device routing independently of browser rendering |
use_proxy |
bool |
True |
Allow the service to use a configured proxy |
proxy |
str | None |
None |
Custom proxy string (username:password@host:port) |
wait_for_selector |
str | None |
None |
CSS selector to wait for before returning content |
home_page |
bool |
False |
Visit the site's root page first to establish cookies/session state; this can improve reliability on some sites with anti-bot checks |
bypass_proxy |
bool |
False |
Enable proxy bypass/resource-blocking behavior |
cookie_jar |
str | None |
None |
Cookie configuration string |
headers |
dict[str, str] | str | None |
None |
Target request headers as a dictionary or JSON string |
max_retries |
int |
3 |
Maximum Web Unblocker retry count; 0 disables retries |
token_cap |
int | None |
None |
Optional retry-token budget |
stream |
bool | None |
None |
Ask the API for a streamed response; the SDK buffers it |
discard_token_secret |
str |
"" |
Value for the x-discard-token-secret HTTP header |
Returns: dict with keys status_code, data (raw HTML string), and headers.
fetch_html calls POST https://api.mrscraper.com and maps the Python
snake_case options to camelCase fields in the JSON request body.
Create an AI scraper
Create an AI-powered scraper using natural-language instructions and run it immediately. No CSS selectors required.
result = await client.create_scraper(
url="https://example.com/products",
message="Extract all product names, prices, and ratings",
agent="listing", # "general" | "listing" | "map"
mode="Super", # "Cheap" | "Super"
proxy_country="US",
max_pages=5,
)
scraper_id = result["data"]["data"]["scraperId"]
| Parameter | Type | Default | Description |
|---|---|---|---|
url |
str |
(required) | Target URL to scrape |
message |
str |
(required) | Natural-language description of what to extract (e.g. "Extract all product names and prices") |
agent |
"general" | "listing" | "map" |
"general" |
AI agent type (see table below) |
mode |
"Cheap" | "Super" | None |
None |
Optional backend execution tier |
schema_prompt |
dict | None |
None |
Best-effort JSON Schema output-shape guidance for general/listing |
proxy_country |
str | None |
None |
ISO country code for proxy selection (e.g. "US", "GB", "SG") |
max_depth |
int |
2 |
(map agent only) Crawl depth from the start URL. 0 = start URL only |
max_pages |
int |
50 |
(map agent only) Maximum number of pages to process |
limit |
int |
1000 |
(map agent only) Maximum number of records to extract |
include_patterns |
str |
"" |
(map agent only) ||-separated URL regex patterns to include when following links |
exclude_patterns |
str |
"" |
(map agent only) ||-separated URL regex patterns to skip when following links |
| Agent | Best used for |
|---|---|
"general" |
Default; handles almost any page |
"listing" |
Product listings, job boards, search results |
"map" |
Crawling all sub-pages / sitemaps of a site |
Returns: dict with keys status_code, data (scraper info including the scraper ID), and headers.
Rerun a scraper on a new URL
Reuse the extraction logic from a previously created AI scraper on any compatible URL. The saved scraper determines the agent type, so pass only the parameters supported by that agent.
# General agent scraper
general_result = await client.rerun_scraper(
scraper_id=general_scraper_id,
url="https://example.com/products?page=2",
proxy_country="US",
home_page=False,
markdown=True,
)
# Listing agent scraper
listing_result = await client.rerun_scraper(
scraper_id=listing_scraper_id,
url="https://example.com/products",
max_pages=5,
home_page=False,
markdown=True,
)
# Map agent scraper
map_result = await client.rerun_scraper(
scraper_id=map_scraper_id,
url="https://example.com/docs",
max_depth=3,
max_pages=100,
limit=500,
include_patterns=r"^https://example\.com/docs",
exclude_patterns=r"/login|/account",
)
| Parameter | Type | Default | Description |
|---|---|---|---|
scraper_id |
str |
(required) | ID of the scraper to rerun (from create_scraper) |
url |
str |
(required) | Target URL — can be the original URL or a different page |
max_depth |
int |
2 |
Map agent only. Maximum link depth from the start URL |
max_pages |
int |
50 |
Listing or map agent only. Maximum pages to process |
limit |
int |
1000 |
Map agent only. Maximum discovered results |
include_patterns |
str |
"" |
Map agent only. URL inclusion expression |
exclude_patterns |
str |
"" |
Map agent only. URL exclusion expression |
proxy_country |
str | None |
None |
General/listing agent only. Proxy country override |
max_retries |
int | None |
None |
Optional maximum retry count |
timeout |
int | None |
None |
Listing agent only. Backend timeout in seconds |
home_page |
bool |
False |
General/listing agent only. Visit the home page before the target |
html |
bool |
False |
General/listing agent only. Include HTML output |
markdown |
bool |
False |
General/listing agent only. Include Markdown output |
screenshot |
bool |
False |
General/listing agent only. Include a screenshot |
bypass_proxy |
bool |
False |
General/listing agent only. Enable proxy bypass/resource blocking |
wait_for_selector |
str | None |
None |
General/listing agent only. Wait for a CSS selector |
render_javascript |
bool |
False |
General/listing agent only. Execute page JavaScript |
use_proxy |
bool |
True |
General/listing agent only. Allow proxy use |
proxy |
str | None |
None |
General/listing agent only. Custom proxy string |
return_cookies |
bool |
False |
General/listing agent only. Include returned cookies |
show_modal |
bool |
False |
General/listing agent only. Enable modal-related output |
stream |
bool |
False |
Listing agent only. Request streamed processing |
Returns: dict with keys status_code, data, and headers.
Bulk rerun on multiple URLs (AI scraper)
Rerun an existing AI scraper on multiple URLs in a single batch request. More efficient than calling rerun_scraper in a loop — all URLs are dispatched in parallel server-side.
result = await client.bulk_rerun_ai_scraper(
scraper_id=scraper_id,
urls=[
"https://example.com/products/item1",
"https://example.com/products/item2",
"https://example.com/products/item3",
],
)
| Parameter | Type | Default | Description |
|---|---|---|---|
scraper_id |
str |
(required) | ID of the scraper to rerun (from create_scraper) |
urls |
list[str] |
(required) | List of target URLs. Must contain at least one URL |
Returns: dict with keys status_code, data, and headers.
Rerun a manually configured scraper
Rerun a scraper that was created manually through the MrScraper dashboard (with custom CSS selectors or XPath rules) on a new URL. Must not be an AI scraper. Find your scraper ID at https://app.mrscraper.com.
result = await client.rerun_manual_scraper(
scraper_id="SCRAPER_ID",
url="https://example.com/products/new-item",
proxy_country="ID",
use_proxy=True,
bypass_proxy=True,
home_page=True,
markdown=True,
)
| Parameter | Type | Default | Description |
|---|---|---|---|
scraper_id |
str |
(required) | ID of the manual scraper (found in the MrScraper dashboard) |
url |
str |
(required) | Target URL — page structure should match the original scraper's target for selectors to work |
proxy |
str | None |
None |
Custom proxy string |
proxy_country |
str | None |
None |
Two-character proxy country code |
max_retries |
int |
3 |
Maximum retry count |
return_cookies |
bool |
False |
Include cookies in the result |
global_domain |
bool |
True |
Apply returned cookies to the global domain |
use_proxy |
bool |
True |
Allow proxy use |
bypass_proxy |
bool |
True |
Enable proxy bypass/resource blocking |
home_page |
bool |
False |
Visit the site home page before the target |
home_page_timeout |
int | None |
10 |
Home-page navigation timeout in seconds |
html |
bool | None |
False |
Include HTML output |
markdown |
bool | None |
False |
Include Markdown output |
screenshot |
str | None |
None |
Optional screenshot mode |
cookie_jar |
str | None |
None |
Cookie configuration string |
browser_flags |
dict | None |
None |
Browser configuration flags |
token_cap |
int | None |
None |
Retry-token budget |
stream |
bool | None |
None |
Request streamed processing |
timeout |
float | None |
None |
Optional scraper timeout in seconds |
Returns: dict with keys status_code, data, and headers.
Bulk rerun manual scraper on multiple URLs
Rerun a manually configured scraper on multiple URLs in a single batch. All URLs are processed in parallel server-side. Find your scraper ID at https://app.mrscraper.com.
result = await client.bulk_rerun_manual_scraper(
scraper_id="SCRAPER_ID",
urls=[
"https://www.example.com/products/item1",
"https://www.example.com/products/item2",
"https://www.example.com/products/item3",
],
)
| Parameter | Type | Default | Description |
|---|---|---|---|
scraper_id |
str |
(required) | ID of the manual scraper (from the MrScraper dashboard). Must be a scraper created manually via the web interface, not an AI scraper |
urls |
list[str] |
(required) | List of target URLs. Each URL is processed independently using the scraper's logic |
Returns: dict with keys status_code, data (bulk job info including job ID and status), and headers.
Fetch Google SERP
Fetch Google search engine results pages (SERP) synchronously.
result = await client.fetch_google_serp(
"iphone 17",
raw=False,
region="id",
language="id",
page=2,
format="json",
render_js=False,
)
| Parameter | Type | Default | Description |
|---|---|---|---|
url |
str |
(required) | Google query text or full Google search URL. The name remains url for compatibility |
raw |
bool |
True |
Deprecated compatibility alias for format="html"; takes precedence over format |
region |
str | None |
None |
Result country; overrides gl parsed from a Google URL |
language |
str | None |
None |
Result language; overrides hl parsed from a Google URL |
page |
int | None |
None |
One-based result page; overrides a page derived from start |
format |
"json" | "html" |
"json" |
Parsed JSON or raw result-page HTML |
render_js |
bool |
False |
Render JavaScript-dependent SERP features |
timeout |
float |
600.0 |
Maximum seconds to wait for the request |
Returns: dict with keys status_code, data, and headers.
This method now uses POST /api/google/serp/v2/sync. For new code, pass
raw=False and select the response with format. Existing calls that omit
raw continue to request raw HTML.
Retrieve results
Fetch previously stored scraping results with pagination, sorting, and filtering.
# All results (paginated)
results = await client.get_all_results(
sort_field="updatedAt",
sort_order="DESC",
page_size=20,
page=1,
search="product",
date_range_column="updatedAt",
start_at="2024-01-01",
end_at="2024-01-31",
scraper_id="SCRAPER_ID",
status="Finished",
type="Rerun-AI",
url="https://example.com/products?page=2",
)
# A specific result by ID
result = await client.get_result_by_id("RESULT_ID", include_html=False)
get_all_results parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
sort_field |
str |
"updatedAt" |
Field to sort by. Options: "createdAt", "updatedAt", "id", "type", "url", "status", "error", "tokenUsage", "runtime" |
sort_order |
"ASC" | "DESC" |
"DESC" |
Sort direction |
page_size |
int |
10 |
Number of results per page |
page |
int |
1 |
Page number (1-indexed) |
search |
str | None |
None |
Free-text search query across result fields |
date_range_column |
str | None |
None |
Column name to filter by date range (e.g. "updatedAt", "createdAt") |
start_at |
str | None |
None |
ISO-8601 start date for the date range filter (e.g. "2024-01-01") |
end_at |
str | None |
None |
ISO-8601 end date for the date range filter (e.g. "2024-01-31") |
scraper_id |
str | None |
None |
Exact saved scraper ID filter |
status |
str | None |
None |
Exact result status filter |
type |
str | None |
None |
Exact result type filter (e.g. "Rerun-AI") |
url |
str | None |
None |
Exact stored target URL filter |
Returns: dict with keys status_code, data (paginated results and pagination metadata), and headers.
get_result_by_id parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
result_id |
str |
(required) | Unique identifier of the result (returned by scraper execution methods and get_all_results) |
include_html |
bool |
True |
Include stored HTML; use False for a smaller response |
Returns: dict with keys status_code, data (complete result object), and headers.
Retrieve account and analytics status
The account and analytics APIs exposed by the CLI are also available directly:
account = await client.get_subscription_account()
analytics = await client.get_analytic_statuses(
domain="example.com",
start_date="2026-09-01 00:00:00",
end_date="2026-09-07 00:00:00",
action="fetch",
api_token_name="production",
)
get_subscription_account() returns subscription and token-usage information.
get_analytic_statuses() returns request-outcome analytics for the supplied
domain and date range.
Manual API testing
examples/manual_test.py provides one command for
every public SDK method. It makes real API requests, so run one command at a
time and be aware that scraping operations may consume account credits. Full
responses are saved to manual_results/; the terminal only shows a short
preview.
Install the local SDK and set your token first:
python -m pip install -e .
export MRSCRAPER_API_TOKEN="YOUR_TOKEN"
Use $env:MRSCRAPER_API_TOKEN="YOUR_TOKEN" instead of export in PowerShell.
Run any individual method:
# Fetch methods
python examples/manual_test.py fetch_html --url "https://books.toscrape.com/" --html
python examples/manual_test.py fetch_html --url "https://example.com/page" --home-page
python examples/manual_test.py fetch_google_serp --query "python web scraping"
# Create a general, listing, or map agent scraper
python examples/manual_test.py create_scraper --agent general
python examples/manual_test.py create_scraper --agent listing --max-pages 5
python examples/manual_test.py create_scraper --agent map --max-depth 1 --max-pages 5
# Rerun an existing AI scraper using parameters for its saved agent type
python examples/manual_test.py rerun_scraper --agent general --scraper-id "AI_SCRAPER_ID"
python examples/manual_test.py rerun_scraper --agent listing --scraper-id "AI_SCRAPER_ID" --max-pages 5
python examples/manual_test.py rerun_scraper --agent map --scraper-id "AI_SCRAPER_ID" --max-depth 1 --max-pages 5
# AI and manual bulk reruns
python examples/manual_test.py bulk_rerun_ai_scraper --scraper-id "AI_SCRAPER_ID" --urls "https://example.com/1" "https://example.com/2"
python examples/manual_test.py rerun_manual_scraper --scraper-id "MANUAL_SCRAPER_ID" --url "https://example.com/1"
python examples/manual_test.py bulk_rerun_manual_scraper --scraper-id "MANUAL_SCRAPER_ID" --urls "https://example.com/1" "https://example.com/2"
# Results, account, and analytics
python examples/manual_test.py get_all_results --page-size 5
python examples/manual_test.py get_result_by_id --result-id "RESULT_ID"
python examples/manual_test.py get_subscription_account
python examples/manual_test.py get_analytic_statuses --domain "example.com" --start-date "2026-09-01 00:00:00" --end-date "2026-09-07 23:59:59"
Run python examples/manual_test.py <method> --help to see the options for a
specific method. For example, use the scraper ID returned by create_scraper
with the AI rerun commands, and obtain result IDs through get_all_results.
Exceptions
| Exception | Raised when |
|---|---|
MrScraperError |
Base class for all SDK errors |
AuthenticationError |
API token is invalid or missing (HTTP 401) |
APIError |
API returned a non-2xx error; has .status_code attribute |
NetworkError |
Connection timeout or network-level failure |
from mrscraper.exceptions import AuthenticationError, APIError, NetworkError
try:
result = await client.fetch_html("https://example.com")
except AuthenticationError:
print("Check your API token at https://app.mrscraper.com")
except APIError as e:
print(f"API error {e.status_code}: {e}")
except NetworkError as e:
print(f"Network problem: {e}")
Compliance & Legal Risk
WARNING Scraping login-protected pages carries serious legal and compliance risks. Many websites explicitly prohibit automated access in their Terms of Service, and bypassing authentication to scrape content may expose you to legal action including lawsuits, account termination, and financial penalties. By proceeding on scraping login-protected pages, you confirm that you have read and understood the target website's Terms of Service, and you fully accept all legal, financial, and ethical responsibility for your actions.
License
MIT © MrScraper
Metadata
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