langchain-mrscraper
LangChain integration package for the MrScraper SDK.
This package exposes MrScraper capabilities as LangChain tools so agents can:
- Fetch rendered HTML from protected websites
- Scrape Google SERP (search results) synchronously
- Create AI scrapers from natural-language prompts
- Rerun AI/manual scrapers (single and bulk)
- List and fetch scraping results
Installation
pip install -U langchain-mrscraper
or:
uv add langchain-mrscraper
mrscraper-sdk is installed automatically as a dependency, so users do not need to install it separately.
Quick start
import os
from langchain_mrscraper import MrScraperToolkit
os.environ["MRSCRAPER_API_TOKEN"] = "your-token"
tools = MrScraperToolkit().get_tools()
Use with an agent
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
from langchain_mrscraper import MrScraperToolkit
tools = MrScraperToolkit(token="your-token").get_tools()
agent = create_react_agent(ChatOpenAI(model="gpt-4o-mini"), tools)
Available tools
mrscraper_google_serpmrscraper_fetch_htmlmrscraper_create_scrapermrscraper_rerun_ai_scrapermrscraper_bulk_rerun_ai_scrapermrscraper_rerun_manual_scrapermrscraper_bulk_rerun_manual_scrapermrscraper_get_all_resultsmrscraper_get_result_by_id
API styles
You can initialize via:
MrScraperToolkit(...).get_tools()(recommended)load_mrscraper_tools(...)convenience function- per-tool constructors with
token="..." - environment variables
MRSCRAPER_API_TOKEN
Tools vs. loaders
This integration is intentionally tools-first. MrScraper endpoints are action-oriented
(fetch, create, rerun, list, retrieve) and best represented as BaseTool methods that
agents can call explicitly.
A document loader abstraction is usually better when the primary job is deterministic "URL -> documents" ingestion into vector stores. MrScraper can support that in a separate package later, but this package should remain focused on agent tools.
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.
Release files for langchain-mrscraper 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| langchain_mrscraper-0.2.3.tar.gz | 7.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| langchain_mrscraper-0.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.4 kB
Release files / langchain_mrscraper-0.2.3.tar.gz
| Download URL | langchain_mrscraper-0.2.3.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
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Release files / langchain_mrscraper-0.2.3-py3-none-any.whl
| Download URL | langchain_mrscraper-0.2.3-py3-none-any.whl |
|---|---|
| Size | 8.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|