Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://python.langchain.com/docs/integrations/tools/oxylabs/ below:

Oxylabs | 🦜️🔗 LangChain

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.

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

Install the required dependencies.

%pip install -qU langchain-oxylabs

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: ")

from langchain_oxylabs import OxylabsSearchAPIWrapper, OxylabsSearchRun

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

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."})

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)


pprint(tool_call_result.content)

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: ")
llm = init_chat_model("gpt-4o-mini", model_provider="openai")

from langgraph.prebuilt import create_react_agent


tool_ = OxylabsSearchRun(wrapper=oxylabs_wrapper)

agent = create_react_agent(llm, [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()

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}")

More information about this integration package can be found here: https://github.com/oxylabs/langchain-oxylabs

Oxylabs Web Scraper API documentation: https://developers.oxylabs.io/scraper-apis/web-scraper-api

• Tool conceptual guide
• Tool how-to guides

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4