Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

zenrows

Package Overview
Dependencies
Maintainers
2
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

zenrows

Python client for ZenRows API

  • 1.4.0
  • PyPI
  • Socket score

Maintainers
2

ZenRows Python SDK

SDK to access ZenRows API directly from Python. ZenRows handles proxies rotation, headless browsers, and CAPTCHAs for you.

Installation

Install the SDK with pip.

pip install zenrows

Usage

Start using the API by creating your API Key.

The SDK uses requests for HTTP requests. The client's response will be a requests Response.

It also uses Retry to automatically retry failed requests (status codes 429, 500, 502, 503, and 504). Retries are not active by default; you need to specify the number of retries, as shown below. It already includes an exponential back-off retry delay between failed requests.

from zenrows import ZenRowsClient

client = ZenRowsClient("YOUR-API-KEY", retries=1)
url = "https://www.zenrows.com/"

response = client.get(url, params={
    # Our algorithm allows to automatically extract content from any website
    "autoparse": False,

    # CSS Selectors for data extraction (i.e. {"links":"a @href"} to get href attributes from links)
    "css_extractor": "",

    # Enable Javascript with a headless browser (5 credits)
    "js_render": False,

    # Use residential proxies (10 credits)
    "premium_proxy": False,

    # Make your request from a given country. Requires premium_proxy
    "proxy_country": "us",

    # Wait for a given CSS Selector to load in the DOM. Requires js_render
    "wait_for": ".content",

    # Wait a fixed amount of time in milliseconds. Requires js_render
    "wait": 2500,

    # Block specific resources from loading, check docs for the full list. Requires js_render
    "block_resources": "image,media,font",

    # Change the browser's window width and height. Requires js_render
    "window_width": 1920,
    "window_height": 1080,

    # Will automatically use either desktop or mobile user agents in the headers
    "device": "desktop",

    # Will return the status code returned by the website
    "original_status": False,
}, headers={
    "Referrer": "https://www.google.com",
    "User-Agent": "MyCustomUserAgent",
})

print(response.text)

You can also pass optional params and headers; the list above is a reference. For more info, check out the documentation page.

Sending headers to the target URL will overwrite our defaults. Be careful when doing it and contact us if there is any problem.

POST Requests

The SDK also offers POST requests by calling the client.post method. It can receive a new parameter data that represents the data sent in, for example, a form.

from zenrows import ZenRowsClient

client = ZenRowsClient("YOUR-API-KEY", retries=1)
url = "https://httpbin.org/anything"

response = client.post(url, data={
    "key1": "value1",
    "key2": "value2",
})

print(response.text)

PUT Requests

The SDK also offers PUT requests by calling the client.put method. It can receive a new parameter data that represents the data sent in, for example, a form.

from zenrows import ZenRowsClient

client = ZenRowsClient("YOUR-API-KEY", retries=1)
url = "https://httpbin.org/anything"

response = client.put(url, data={
    "key1": "value1",
    "key2": "value2",
})

print(response.text)

Concurrency

To limit the concurrency, it uses asyncio, which will simultaneously send a maximum of requests. The concurrency is determined by the plan you are in, so take a look at the pricing and set it accordingly. Take into account that each client instance will have its own limit, meaning that two different scripts will not share it, and 429 (Too Many Requests) errors might arise.

The main difference with the sequential snippet above is client.get_async instead of client.get. The rest will work exactly the same, and we will support the get function. But the async is necessary to parallelize calls and allow async/await syntax. Remember to run the scripts with asyncio.run or it will fail with a coroutine 'main' was never awaited error.

We use asyncio.gather in the example below. It will wait for all the calls to finish, and the results are stored in a responses array. The whole list of URLs will run, even if some fail. Then each response will have the status, request, response content, and other values as usual.

from zenrows import ZenRowsClient
import asyncio

client = ZenRowsClient("YOUR-API-KEY", concurrency=5, retries=1)

async def main():
    urls = [
        "https://www.zenrows.com/",
        # ...
    ]
    responses = await asyncio.gather(*[client.get_async(url) for url in urls])

    for response in responses:
        print(response.text)

asyncio.run(main())

Contributing

Pull requests are welcome. For significant changes, please open an issue first to discuss what you would like to change.

License

MIT

Keywords

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc