Restpack SDKs & Libraries: Official and Community Support (2026)

SDKs overview

Restpack offers a suite of APIs designed for web data extraction, search engine results monitoring, and automated screenshot generation. While the core interaction with Restpack's services is via direct HTTP requests, Software Development Kits (SDKs) and client libraries simplify this process by providing pre-built functions and abstractions in various programming languages. These tools handle aspects such as request formatting, API key authentication, and response parsing, reducing the boilerplate code required for integration.

The primary advantage of using an SDK or client library is the ability to integrate Restpack's functionalities more rapidly and with fewer errors. Developers can leverage familiar language constructs and package managers to add web scraping and data extraction capabilities to their applications without needing to manually construct HTTP requests for each API endpoint. Restpack's official documentation provides examples and guidance for these integrations, covering several popular programming languages.

Official SDKs by language

Restpack provides official support and code examples for several programming languages, focusing on direct HTTP request methods rather than standalone SDK packages for each. This approach means that while there isn't a dedicated, installable client library for every language in the traditional sense, the documentation offers ready-to-use code snippets that function as de facto SDKs, demonstrating how to interact with the API endpoints. Developers can copy, paste, and adapt these examples to their projects.

The following table summarizes the primary languages for which Restpack provides official code examples and integration guidance within its documentation:

Each of these integration methods is detailed in the Restpack API documentation, offering specific instructions and parameters for each API endpoint, such as the Scraping API, SERP API, and Screenshots API.

Installation

Since Restpack's primary integration method relies on standard HTTP client libraries available in most programming environments, there are no specific Restpack-branded SDK packages to install via language-specific package managers in many cases. Instead, developers typically install a general-purpose HTTP client library for their chosen language.

Python

For Python, the requests library is commonly used for making HTTP requests. It can be installed using pip:

pip install requests

Node.js

In Node.js, libraries like axios or the native http/https modules are frequently employed. To install axios:

npm install axios

PHP

PHP often uses the cURL extension, which is usually enabled by default in most PHP installations. If not, it can be enabled in php.ini. For a more object-oriented HTTP client, Guzzle is a popular choice:

composer require guzzlehttp/guzzle

Ruby

Ruby's standard library includes Net::HTTP for making HTTP requests, so no additional installation is typically required. For more advanced features, the httparty gem can be installed:

gem install httparty

cURL

cURL is a command-line tool and library for transferring data with URLs. It is pre-installed on most Unix-like operating systems and macOS. For Windows, it can be downloaded from the official cURL website.

After installing the respective HTTP client, developers can follow the Restpack API documentation to structure their requests, including API keys and parameters, and process the responses from the various Restpack services.

Quickstart example

This quickstart example demonstrates how to use Restpack's Scraping API with Python to extract content from a webpage. You will need a Restpack API key, which can be obtained after signing up on the Restpack website.

Python Quickstart (using requests)

First, ensure you have the requests library installed:

pip install requests

Then, use the following Python code:

import requests
import json

# Replace with your actual Restpack API key
API_KEY = "YOUR_RESTPACK_API_KEY"
TARGET_URL = "https://example.com"

def scrape_page(api_key, url):
    payload = {
        "url": url,
        "key": api_key,
        "output": "json",
        "wait": 1000, # Wait for 1 second for page to load (optional)
        "javascript_render": True # Enable JavaScript rendering (optional)
    }
    
    try:
        response = requests.get("https://api.restpack.io/v2/scrape", params=payload)
        response.raise_for_status()  # Raise an exception for HTTP errors (4xx or 5xx)
        
        data = response.json()
        if data and "content" in data:
            print("Scraped content successfully!")
            # You can process data['content'] here
            # For demonstration, we'll print a snippet
            print(data["content"][:500] + "...") # Print first 500 characters
        elif data and "error" in data:
            print(f"API Error: {data['error']}")
        else:
            print("Unexpected API response format.")

    except requests.exceptions.RequestException as e:
        print(f"Request failed: {e}")
    except json.JSONDecodeError:
        print("Failed to decode JSON response.")

if __name__ == "__main__":
    scrape_page(API_KEY, TARGET_URL)

This script constructs a GET request to Restpack's Scraping API endpoint, including the target URL, your API key, and optional parameters like JavaScript rendering. It then prints a snippet of the extracted content or an error message if the request fails or returns an API error. Detailed explanations of parameters for various APIs are available in the Restpack API documentation.

Community libraries

As Restpack primarily focuses on direct HTTP API interactions with comprehensive documentation and code examples, the ecosystem of independently developed, full-fledged community SDKs is less prominent compared to APIs that publish official, language-specific client libraries. Developers typically build custom wrappers or integrate directly using standard HTTP clients.

However, the nature of web scraping and data extraction often leads to the development of utility scripts and small libraries within specific projects that are not necessarily published as general-purpose SDKs. These might include:

• Custom parsers: Scripts designed to extract specific data fields from the raw HTML or JSON content returned by Restpack's APIs.
• Request builders: Functions that construct API request payloads dynamically based on user input or application logic.
• Rate limiting and retry mechanisms: Custom logic to manage request volumes and handle transient network or API errors, often implemented using libraries like tenacity in Python or p-retry in Node.js.
• Data storage integrators: Code that takes the extracted data and inserts it into databases, cloud storage, or other systems.

While Restpack does not officially endorse or maintain a list of community-contributed SDKs, developers can explore public code repositories on platforms like GitHub by searching for keywords such as "Restpack," "web scraping," and their preferred programming language. These repositories might contain examples or small utilities that demonstrate integration patterns or address specific use cases. However, the stability, maintenance, and security of such community-developed resources can vary significantly.

For the most reliable and up-to-date integration methods, referring to the official Restpack documentation remains the recommended approach. This documentation provides a solid foundation for building robust integrations using widely adopted HTTP client libraries, such as Python's requests or Node.js's axios, which are themselves well-maintained by their respective communities and align with best practices for web development, as outlined by organizations like the World Wide Web Consortium (W3C) for web standards.