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MIT 76 1 9,051
58.1 thousand (month) Aug 25 2018 v2.11.0(2 months ago)
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Resty is an HTTP and REST client library for Go. It is designed to be simple and easy to use, while still providing a lot of powerful features. One of the main benefits of using Resty is that it allows you to make HTTP requests with minimal boilerplate code, while still providing a lot of flexibility and control over the requests.

One of the key features of Resty is its use of chaining. This allows you to chain together multiple methods to build up a request, making the code more readable and easy to understand. For example, you can chain together the R().SetHeader("Accept", "application/json") method to set the Accept header and R().SetQueryParam("param1", "value1") to add a query parameter to the request.

Resty also provides a lot of convenience functions for making common types of requests, such as Get, Post, Put, and Delete. This can be useful if you need to make a simple request quickly and don't want to spend a lot of time configuring the request. Additionally, Resty also provides a way to set a timeout for the request, in case the server takes too long to respond.

Resty also supports HTTP/2 and advanced features like multipart file upload, request and response middlewares, request hooks, and many others.

Overall, Resty is a good choice if you're looking for a simple and easy-to-use HTTP client library for Go. It's a good fit for projects that don't require a lot of customization and need a quick way to make HTTP requests.

crul is a R library for sending HTTP requests and web scraping. It is designed to be simple and easy to use, while still providing powerful functionality for working with HTTP requests and scraping web pages.

One of the main features of crul is its intuitive and easy-to-use syntax for sending HTTP requests. It allows you to easily specify the HTTP method, headers, and body of a request, and also provides a simple way to handle the response.

crul also has the ability to handle different types of requests and responses, including GET, POST, PUT, DELETE, and PATCH. It also support for handling redirects, cookies, and authentication.

Another feature of crul is its support for web scraping. The library provides a simple and efficient way to extract data from web pages, using a syntax similar to that of the XML and httr libraries. It also allows to easily filter the extracted data based on a specific criteria.

crul also supports parallel scraping, which allows to make multiple requests at the same time, thus speeding up the scraping process.

In addition to these features, crul has a good compatibility with other R packages such as tidyverse and purrr which facilitates the manipulation of the data obtained after scraping.



Example Use

package main

// establish session client
client := resty.New()
// set proxy for the session
// set retries
    // Set retry count to non zero to enable retries
    // You can override initial retry wait time.
    // Default is 100 milliseconds.
    SetRetryWaitTime(5 * time.Second).
    // MaxWaitTime can be overridden as well.
    // Default is 2 seconds.
    SetRetryMaxWaitTime(20 * time.Second).
    // SetRetryAfter sets callback to calculate wait time between retries.
    // Default (nil) implies exponential backoff with jitter
    SetRetryAfter(func(client *resty.Client, resp *resty.Response) (time.Duration, error) {
        return 0, errors.New("quota exceeded")

// Make GET request
resp, err := client.R().
    // we can set query
        "query": "foo",
    // and headers
    SetHeader("Accept", "application/json").

// Make Post request
resp, err := client.R().
    // JSON data
    SetHeader("Content-Type", "application/json").
    SetBody(`{"username":"testuser", "password":"testpass"}`).
    // or Form Data
      "username": "jeeva",
      "password": "mypass",

// resty also support request and response middlewares
// which allow easy modification of outgoing requests and incoming responses
client.OnBeforeRequest(func(c *resty.Client, req *resty.Request) error {
    // Now you have access to Client and current Request object
    // manipulate it as per your need

    return nil  // if its success otherwise return error

// Registering Response Middleware
client.OnAfterResponse(func(c *resty.Client, resp *resty.Response) error {
    // Now you have access to Client and current Response object
    // manipulate it as per your need

    return nil  // if its success otherwise return error

# Sending a GET request to a website
response <- HttpClient$new("")$get()
# Sending a POST request to a website
request_body <- list(param1 = "value1", param2 = "value2")
response <- HttpClient$new("")$post(body = request_body)

# Extracting the status code and body of the response
status_code <- response$status_code()
body <- response$body()

# crul also allows easy asynchronous requests:
urls <- c("", "", "")
# Creating a list of request objects from urls
requests <- lapply(urls, function(url) {

# Sending the requests asynchronously
responses <- async(requests)

# Extracting the status code and body of the responses
status_codes <- lapply(responses, function(response) response$status_code())
bodies <- lapply(responses, function(response) response$body())

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