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A simple, yet elegant, HTTP library.
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Requests + Gevent = <3
Quick Overview
Grequests is a Go library that provides a simple and elegant way to make HTTP requests. It is inspired by the Python requests library and aims to offer a similar user-friendly interface for Go developers. Grequests simplifies the process of making HTTP requests, handling responses, and managing sessions.
Pros
- Easy-to-use API, similar to Python's requests library
- Supports concurrent requests out of the box
- Handles cookies and sessions automatically
- Provides convenient methods for handling JSON responses
Cons
- Not as actively maintained as some other Go HTTP client libraries
- Limited documentation and examples compared to more popular alternatives
- May not be suitable for highly complex or specialized HTTP use cases
- Lacks some advanced features found in other libraries
Code Examples
- Making a simple GET request:
resp, err := grequests.Get("https://api.example.com/users", nil)
if err != nil {
log.Fatalln("Unable to make request: ", err)
}
fmt.Println(resp.String())
- Sending a POST request with JSON data:
data := map[string]string{"username": "johndoe", "password": "secret"}
resp, err := grequests.Post("https://api.example.com/login", &grequests.RequestOptions{
JSON: data,
})
if err != nil {
log.Fatalln("Unable to make request: ", err)
}
fmt.Println(resp.String())
- Making concurrent requests:
urls := []string{
"https://api.example.com/users",
"https://api.example.com/posts",
"https://api.example.com/comments",
}
responses := grequests.GetAsync(urls, nil)
for _, resp := range responses {
if resp.Error != nil {
log.Println("Unable to make request: ", resp.Error)
} else {
fmt.Println(resp.String())
}
}
Getting Started
To use grequests in your Go project, follow these steps:
-
Install the library:
go get github.com/levigross/grequests
-
Import the library in your Go code:
import "github.com/levigross/grequests"
-
Start making HTTP requests using the provided methods like
Get
,Post
,Put
, etc.
For more detailed usage and examples, refer to the project's GitHub repository and documentation.
Competitor Comparisons
A simple, yet elegant, HTTP library.
Pros of Requests
- Widely adopted and well-maintained library with extensive documentation
- Supports a broader range of HTTP features and authentication methods
- Synchronous nature makes it easier to debug and reason about code flow
Cons of Requests
- Blocking I/O can lead to performance bottlenecks in high-concurrency scenarios
- Lacks built-in asynchronous capabilities, requiring additional libraries for async operations
Code Comparison
Requests:
import requests
response = requests.get('https://api.example.com/data')
print(response.json())
GRequests:
import grequests
urls = ['https://api.example.com/data']
responses = grequests.map(grequests.get(u) for u in urls)
print(responses[0].json())
Key Differences
- GRequests is built on top of Requests, adding asynchronous capabilities
- GRequests uses gevent for concurrency, allowing multiple requests to be sent simultaneously
- Requests provides a more straightforward API for simple use cases
- GRequests is better suited for scenarios requiring high concurrency and performance
Use Cases
- Choose Requests for general-purpose HTTP operations and simpler projects
- Opt for GRequests when dealing with many concurrent requests or in I/O-bound applications
Asynchronous HTTP client/server framework for asyncio and Python
Pros of aiohttp
- Built on asyncio, providing true asynchronous I/O for better performance in high-concurrency scenarios
- More comprehensive feature set, including both client and server-side HTTP functionality
- Active development and larger community support
Cons of aiohttp
- Steeper learning curve, especially for developers new to asynchronous programming
- Requires more boilerplate code for simple requests compared to grequests
Code Comparison
aiohttp:
import aiohttp
import asyncio
async def fetch(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
return await response.text()
asyncio.run(fetch('https://example.com'))
grequests:
import grequests
urls = ['https://example.com']
responses = grequests.map(grequests.get(u) for u in urls)
print(responses[0].text)
Summary
aiohttp is a more powerful and flexible library, offering true asynchronous I/O and a wider range of features. It's well-suited for complex applications and high-concurrency scenarios. However, it comes with a steeper learning curve and requires more code for basic operations.
grequests, on the other hand, provides a simpler interface for making asynchronous HTTP requests, making it easier to use for basic tasks. It's a good choice for developers who want to quickly add some level of concurrency to their HTTP requests without diving deep into asynchronous programming concepts.
A next generation HTTP client for Python. 🦋
Pros of httpx
- Supports both sync and async HTTP requests
- More actively maintained with frequent updates
- Comprehensive feature set including HTTP/2 support
Cons of httpx
- Steeper learning curve due to more complex API
- Larger dependency footprint
Code comparison
grequests:
import grequests
urls = ['http://example.com', 'http://example.org']
rs = (grequests.get(u) for u in urls)
grequests.map(rs)
httpx:
import httpx
urls = ['http://example.com', 'http://example.org']
with httpx.Client() as client:
responses = [client.get(url) for url in urls]
Key differences
- grequests is built on top of the requests library and gevent, providing a simple interface for making asynchronous HTTP requests
- httpx is a more modern library that supports both synchronous and asynchronous requests, with a wider range of features
- grequests uses a map function for concurrent requests, while httpx uses a client object
- httpx offers more flexibility in terms of connection pooling and session management
Use cases
- grequests: Simple projects requiring basic asynchronous HTTP requests
- httpx: More complex applications needing advanced HTTP features, async support, and future-proofing
Pythonic HTML Parsing for Humans™
Pros of requests-html
- Built-in JavaScript rendering support for dynamic web pages
- Includes HTML parsing and XPath capabilities
- Seamless integration with the popular requests library
Cons of requests-html
- Slower performance for simple HTTP requests
- Larger dependency footprint due to additional features
- Less focus on asynchronous operations
Code Comparison
requests-html:
from requests_html import HTMLSession
session = HTMLSession()
r = session.get('https://python.org')
r.html.render()
print(r.html.find('title', first=True).text)
grequests:
import grequests
urls = ['http://www.example.com', 'https://www.python.org']
rs = (grequests.get(u) for u in urls)
responses = grequests.map(rs)
print([r.status_code for r in responses])
requests-html is more suited for web scraping tasks involving JavaScript-rendered content and complex HTML parsing. It offers a higher-level API for these operations but may be overkill for simple HTTP requests.
grequests, on the other hand, focuses on providing asynchronous HTTP requests using gevent. It's more lightweight and efficient for making multiple concurrent requests but lacks the advanced parsing features of requests-html.
Choose requests-html for complex web scraping tasks, and grequests for high-performance, concurrent HTTP requests.
Requests + Gevent = <3
Pros of grequests (spyoungtech)
- More actively maintained with recent updates
- Supports Python 3.7+ and newer features
- Improved error handling and exception management
Cons of grequests (spyoungtech)
- May have compatibility issues with older Python versions
- Potentially less stable due to more frequent changes
Code Comparison
grequests (levigross):
import grequests
urls = [
'http://www.example.com',
'http://www.example.org',
]
rs = (grequests.get(u) for u in urls)
grequests.map(rs)
grequests (spyoungtech):
import grequests
urls = [
'http://www.example.com',
'http://www.example.org',
]
rs = (grequests.get(u) for u in urls)
grequests.map(rs, exception_handler=lambda r, e: print(f"Request failed: {e}"))
The main difference in the code is the addition of an exception handler in the spyoungtech version, which provides better error management. Both versions maintain similar syntax and usage, ensuring compatibility for users transitioning between the two.
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GRequests
GRequests provides a clean wrapper around Go's net/http
package. It mimics the convenience of the Python Requests library while keeping the power and safety of Go.
Features
- Simple helpers for every HTTP verb
- Context aware request functions for easy cancellation
- RequestOptions for headers, query parameters, proxies, cookies and more
- Built in support for JSON and XML responses
- File uploads and convenient download helpers
- Session type for reusing cookies between requests
Installation
go get github.com/levigross/grequests/v2
Quick start
package main
import (
"context"
"log"
"github.com/levigross/grequests/v2"
)
func main() {
resp, err := grequests.Get(context.Background(), "https://httpbin.org/get",
grequests.UserAgent("MyAgent"))
if err != nil {
log.Fatal(err)
}
var data map[string]any
if err := resp.JSON(&data); err != nil {
log.Fatal(err)
}
log.Println(data)
}
Uploading a file
fd, _ := grequests.FileUploadFromDisk("testdata/file.txt")
ro := &grequests.RequestOptions{
Files: fd,
Data: map[string]string{"desc": "test"},
}
resp, err := grequests.Post(context.Background(), "https://httpbin.org/post",
grequests.FromRequestOptions(ro))
Using a session
sess := grequests.NewSession(nil)
_, _ = sess.Get(context.Background(), "https://httpbin.org/cookies/set?one=two", nil)
resp, _ := sess.Get(context.Background(), "https://httpbin.org/cookies", nil)
log.Println(resp.String())
See the documentation for a full list of available options.
License
GRequests is licensed under the Apache License, Version 2.0. See LICENSE for details.
Top Related Projects
A simple, yet elegant, HTTP library.
Asynchronous HTTP client/server framework for asyncio and Python
A next generation HTTP client for Python. 🦋
Pythonic HTML Parsing for Humans™
Requests + Gevent = <3
Convert
designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot