mrscraper-sdk 0.1.2

Python SDK for the MrScraper web-scraping API

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)

import asyncio
from mrscraper import MrScraper

async def main():
    client = MrScraper(token="MRSCRAPER_API_TOKEN")

    result = await client.fetch_html(
        "https://stockx.com/air-jordan-1-retro-low-og-chicago-2025",
        geo_code="US",
        timeout=120,
        block_resources=False,
    )
    print(result["data"])   # raw HTML string

asyncio.run(main())

Create an AI scraper

result = await client.create_scraper(
    url="https://example.com/products",
    message="Extract all product names, prices, and ratings",
    agent="listing",          # "general" | "listing" | "map"
    proxy_country="US",
)
scraper_id = result["data"]["data"]["id"]
print("Scraper ID:", scraper_id)

Rerun a scraper on a new URL

result = await client.rerun_scraper(
    scraper_id=scraper_id,
    url="https://example.com/products?page=2",
)

Bulk rerun on multiple URLs (AI scraper)

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",
    ],
)

Rerun a manually configured scraper

result = await client.rerun_manual_scraper(
    scraper_id="manual_scraper_67890",
    url="https://example.com/products/new-item",
)

Bulk rerun manual scraper on multiple URLs

result = await client.bulk_rerun_manual_scraper(
    scraper_id="scraper_12345",
    urls=[
        "https://www.example.com/products/item1",
        "https://www.example.com/products/item2",
        "https://www.example.com/products/item3",
    ],
)

Retrieve results

# All results (paginated)
page = 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",
)
print(page["data"])

# A specific result by ID
result = await client.get_result_by_id("result_12345")
print(result["data"])

---

API Reference

MrScraper

All methods are coroutines and must be awaited.

Method	Description
fetch_html(url, *, timeout, geo_code, block_resources)	Fetch rendered HTML via the MrScraper stealth browser
create_scraper(url, message, *, agent, proxy_country, ...)	Create & run an AI-powered scraper
rerun_scraper(scraper_id, url, *, max_depth, max_pages, limit, ...)	Rerun an AI scraper on a new URL
bulk_rerun_ai_scraper(scraper_id, urls)	Rerun an AI scraper on multiple URLs in one batch
rerun_manual_scraper(scraper_id, url)	Rerun a manually configured scraper on a single URL
bulk_rerun_manual_scraper(scraper_id, urls)	Rerun a manual scraper on multiple URLs in one batch
get_all_results(*, sort_field, sort_order, page_size, page, search, ...)	List all results with filtering & pagination
get_result_by_id(result_id)	Fetch a single result by its ID

All methods return a dict with the following keys:

Key	Type	Description
status_code	int	HTTP status code
data	Any	Parsed JSON body or raw text
headers	dict	Response headers

bulk_rerun_manual_scraper

Reruns a manually configured scraper on multiple URLs simultaneously in a single batch operation. This is more efficient than calling rerun_manual_scraper multiple times, as it processes all URLs in parallel and returns consolidated results. Ideal for scraping multiple pages, products, or articles with the same extraction logic.

Argument	Description
scraper_id	The ID of the manual scraper to rerun (obtained from the MrScraper dashboard). Must be a scraper created manually through the web interface, not an AI scraper. Find it at https://app.mrscraper.com
urls	A list of target URLs to scrape (required, must contain at least one URL). Each URL will be processed independently using the scraper's extraction logic. Example: ["https://example.com/page1", "https://example.com/page2"]

Returns: A dict with status_code, data (bulk job info including job ID, status, metadata; use get_all_results or get_result_by_id to fetch per-URL results), and headers.

Example:

result = await client.bulk_rerun_manual_scraper(
    scraper_id="scraper_12345",
    urls=[
        "https://www.example.com/products/item1",
        "https://www.example.com/products/item2",
        "https://www.example.com/products/item3",
    ],
)

create_scraper — agent types

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

The max_depth, max_pages, limit, include_patterns, and exclude_patterns parameters are only meaningful when agent="map".

---

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}")

---

License

MIT © MrScraper