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Oxylabs is a market-leading web intelligence collection platform, driven by the highest business, ethics, and compliance standards, enabling companies worldwide to unlock data-driven insights.

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Overview

This package contains the LangChain integration with Oxylabs, providing tools to scrape Google search results with Oxylabs Web Scraper API using LangChain’s framework. The following classes are provided by this package:
  • OxylabsSearchRun - A tool that returns scraped Google search results in a formatted text
  • OxylabsSearchResults - A tool that returns scraped Google search results in a JSON format
  • OxylabsSearchAPIWrapper - An API wrapper for initializing Oxylabs API
Pricing
✅ Free 5,000 results for 1 week

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Setup

Install the required dependencies. 
pip install -qU langchain-oxylabs

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Credentials

Set up the proper API keys and environment variables. Create your API user credentials: Sign up for a free trial or purchase the product in the Oxylabs dashboard to create your API user credentials (OXYLABS_USERNAME and OXYLABS_PASSWORD). 
import getpass
import os

os.environ["OXYLABS_USERNAME"] = getpass.getpass("Enter your Oxylabs username: ")
os.environ["OXYLABS_PASSWORD"] = getpass.getpass("Enter your Oxylabs password: ")

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Instantiation

from langchain_oxylabs import OxylabsSearchAPIWrapper, OxylabsSearchRun

oxylabs_wrapper = OxylabsSearchAPIWrapper()
tool_ = OxylabsSearchRun(wrapper=oxylabs_wrapper)

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Invocation

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Invoke directly with args

The OxylabsSearchRun tool takes a single “query” argument, which should be a natural language query and returns combined string format result: 
tool_.invoke({"query": "Restaurants in Paris."})

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Invoke with ToolCall

tool_ = OxylabsSearchRun(
    wrapper=oxylabs_wrapper,
    kwargs={
        "result_categories": [
            "local_information",
            "combined_search_result",
        ]
    },
)

from pprint import pprint

model_generated_tool_call = {
    "args": {
        "query": "Visit restaurants in Vilnius.",
        "geo_location": "Vilnius,Lithuania",
    },
    "id": "1",
    "name": "oxylabs_search",
    "type": "tool_call",
}
tool_call_result = tool_.invoke(model_generated_tool_call)

# The content is a JSON string of results
pprint(tool_call_result.content)

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Use within an agent

Install the required dependencies. 
pip install -qU "langchain[openai]" langgraph

import getpass
import os

from langchain.chat_models import init_chat_model

os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter API key for OpenAI: ")
model = init_chat_model("gpt-4o-mini", model_provider="openai")

from langchain.agents import create_agent


# Initialize OxylabsSearchRun tool
tool_ = OxylabsSearchRun(wrapper=oxylabs_wrapper)

agent = create_agent(model, [tool_])

user_input = "What happened in the latest Burning Man floods?"

for step in agent.stream(
    {"messages": user_input},
    stream_mode="values",
):
    step["messages"][-1].pretty_print()

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JSON results

OxylabsSearchResults tool can be used as an alternative to OxylabsSearchRun to retrieve results in a JSON format: 
import json

from langchain_oxylabs import OxylabsSearchResults

tool_ = OxylabsSearchResults(wrapper=oxylabs_wrapper)

response_results = tool_.invoke({"query": "What are the most famous artists?"})
response_results = json.loads(response_results)

for result in response_results:
    for key, value in result.items():
        print(f"{key}: {value}")

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API reference

More information about this integration package can be found here: github.com/oxylabs/langchain-oxylabs Oxylabs Web Scraper API documentation: developers.oxylabs.io/scraper-apis/web-scraper-api
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