nexract 2.0.0

Nexract — Web Intelligence API SDK. Extract, analyze, and monitor any webpage. Built-in OpenAI, Claude, and LangChain integrations.

Nexract — Web Intelligence API SDK

Extract, analyze, and monitor any webpage with one API call.

Features

• Extract clean markdown from any public URL
• AI Analysis — summary, sentiment, entities, categories (powered by Claude)
• Batch Extract — up to 10 URLs in one request
• Schema Extraction — custom JSON schema for structured data
• OpenAI Tool — built-in function calling definition
• Claude Tool — built-in Anthropic tool definition
• LangChain Tool — native StructuredTool integration
• Content Filtering — max_words, no_links, first_paragraphs
• Retry Logic — automatic exponential backoff for 429/503
• Arabic Intelligence — dialect detection, bilingual analysis

Install

pip install nexract

For LangChain integration:

pip install nexract[langchain]

Quick Start

from nexract import Nexract

nx = Nexract("SK-LAB-YOUR-KEY")

# Basic extraction (1 credit)
result = nx.extract("https://example.com/article")
print(result.data)        # Clean markdown
print(result.title)       # Article title
print(result.word_count)  # Word count

# With AI analysis (+2 credits)
result = nx.extract("https://bbc.com/article", ai=True)
print(result.summary)     # AI-generated summary
print(result.sentiment)   # positive/negative/neutral

# Batch extract (up to 10 URLs)
batch = nx.batch_extract([
    "https://site1.com",
    "https://site2.com",
    "https://site3.com",
])
for r in batch:
    print(r.title, r.word_count)

# Check balance
bal = nx.balance()
print(f"Credits: {bal.balance}")

OpenAI Integration

from openai import OpenAI
from nexract import Nexract
import json

nx = Nexract("SK-LAB-YOUR-KEY")
client = OpenAI()

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Summarize https://example.com"}],
    tools=[nx.openai_tool()],  # One line!
)

for call in response.choices[0].message.tool_calls or []:
    if call.function.name == "nexract_extract":
        args = json.loads(call.function.arguments)
        content = nx.handle_tool_call(args)
        print(content)

Claude Integration

import anthropic
from nexract import Nexract

nx = Nexract("SK-LAB-YOUR-KEY")
client = anthropic.Anthropic()

response = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    tools=[nx.claude_tool()],  # One line!
    messages=[{"role": "user", "content": "Extract https://example.com"}],
)

for block in response.content:
    if block.type == "tool_use" and block.name == "nexract_extract":
        content = nx.handle_tool_call(block.input)
        print(content)

LangChain Integration

from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI
from nexract import Nexract

nx = Nexract("SK-LAB-YOUR-KEY")
llm = ChatOpenAI(model="gpt-4o")

agent = initialize_agent(
    tools=[nx.langchain_tool()],  # One line!
    llm=llm,
    agent=AgentType.OPENAI_FUNCTIONS,
)

result = agent.invoke("Summarize https://techcrunch.com")
print(result["output"])

API Reference

Method	Description
nx.extract(url, **options)	Extract a webpage (1 credit)
nx.batch_extract(urls, **options)	Extract multiple URLs (1 credit each)
nx.balance()	Check credit balance
nx.openai_tool()	OpenAI function calling definition
nx.claude_tool()	Anthropic Claude tool definition
nx.langchain_tool()	LangChain StructuredTool
nx.handle_tool_call(args)	Handle AI tool call → returns content string

Links

• Website: nexract.ai
• API Docs: nexract.ai/docs.html
• Swagger UI: nexract.ai/api/docs
• Integrations: nexract.ai/integrations.html

License

MIT