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Hyper Solutions SDK for Python - With support for Akamai Bot Manager, Incapsula, Datadome and Kasada.

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Hyper Solutions SDK for Python

Installation

To use the Hyper Solutions SDK in your Python project, you need to install it using the following command:

pip install hyper-sdk

Usage

Creating a Session

To start using the SDK, you need to create a new Session instance by providing your API key:

from hyper_sdk import Session

session = Session(api_key="your-api-key")

You can also optionally set a JWT key and a custom HTTP client:

from hyper_sdk import Session

session = Session(api_key="your-api-key", jwt_key="your-jwt-key", client=custom_http_client)

Akamai

The Akamai package provides functions for interacting with Akamai Bot Manager, including generating sensor data, parsing script path, parsing pixel challenges, and handling sec-cpt challenges.

Generating Sensor Data

To generate sensor data required for generating valid Akamai cookies, use the generate_sensor_data method:

from hyper_sdk import SensorInput

sensor_input = SensorInput(
    page_url="https://example.com/",
    user_agent="your-user-agent",
    abck="your-abck-cookie",
    bmsz="your-bmsz-cookie",
    version="2.0"
)
sensor_data = session.generate_sensor_data(sensor_input)

Parsing Script Path

To parse the Akamai Bot Manager script path from the given HTML code, use the parse_script_path function from the script_path module:

from hyper_sdk.akamai.script_path import parse_script_path

script_path = parse_script_path(html_source)

Handling Sec-Cpt Challenges

The Akamai package provides functions for handling sec-cpt challenges:

  • SecCptChallenge.parse: Parses a sec-cpt challenge from an HTML source.
  • generate_sec_cpt_payload: Generates a sec-cpt payload using the provided sec-cpt cookie.
  • sleep: Sleeps for the duration specified in the sec-cpt challenge.

Example usage:

from hyper_sdk.akamai.sec_cpt import SecCptChallenge

challenge = SecCptChallenge.parse(html_source)
payload = challenge.generate_sec_cpt_payload(sec_cpt_cookie)
challenge.sleep()

Validating Cookies

The Akamai package provides functions for validating cookies:

  • is_cookie_valid: Determines if the provided _abck cookie value is valid based on the given request count.
  • is_cookie_invalidated: Determines if the current session requires more sensors to be sent.

Example usage:

from hyper_sdk.akamai.stop_signal import is_cookie_valid, is_cookie_invalidated

is_valid = is_cookie_valid(abck_cookie, request_count)
is_invalidated = is_cookie_invalidated(abck_cookie)

Generating Pixel Data

To generate pixel data, use the generate_pixel_data method:

from hyper_sdk import PixelInput

pixel_input = PixelInput(
    user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.82 Safari/537.36",
    html_var="your-html-var",
    script_var="your-script-var"
)
pixel_data = session.generate_pixel_data(pixel_input)

Parsing Pixel Challenges

The Akamai package provides functions for parsing pixel challenges:

  • parse_pixel_html_var: Parses the required pixel challenge variable from the given HTML code.
  • parse_pixel_script_url: Parses the script URL of the pixel challenge script and the URL to post a generated payload to from the given HTML code.
  • parse_pixel_script_var: Parses the dynamic value from the pixel script.

Example usage:

from hyper_sdk.akamai.pixel import parse_pixel_html_var, parse_pixel_script_url, parse_pixel_script_var

html_var = parse_pixel_html_var(html_source)
script_url, post_url = parse_pixel_script_url(html_source)
script_var = parse_pixel_script_var(script_source)

Incapsula

The Incapsula package provides functions for interacting with Imperva Incapsula, including generating Reese84 sensor data, UTMVC cookies, and parsing UTMVC script paths.

Generating Reese84 Sensor

To generate sensor data required for generating valid Reese84 cookies, use the generate_reese84_sensor method:

sensor_data = session.generate_reese84_sensor(site="example.com", user_agent="your-user-agent")

Generating UTMVC Cookie

To generate the UTMVC cookie using the Hyper Solutions API, use the generate_utmvc_cookie method:

from hyper_sdk import UtmvcInput

utmvc_input = UtmvcInput(
    user_agent="your-user-agent",
    session_ids=["session-id-1", "session-id-2"],
    script="your-script"
)
utmvc_cookie = session.generate_utmvc_cookie(utmvc_input)

Parsing UTMVC Script Path

To parse the UTMVC script path from a given script content, use the parse_utmvc_script_path function from the utmvc module:

from hyper_sdk.incapsula.utmvc import parse_utmvc_script_path

script_path = parse_utmvc_script_path(script_content)

Generating UTMVC Submit Path

To generate a unique UTMVC submit path with a random query parameter, use the get_utmvc_submit_path function from the utmvc module:

from hyper_sdk.incapsula.utmvc import get_utmvc_submit_path

submit_path = get_utmvc_submit_path()

Kasada

The Kasada package provides functions for interacting with Kasada Bot Manager, including parsing script path.

Generating Payload Data (CT)

To generate payload data required for generating valid x-kpsdk-ct tokens, use the generate_kasada_payload function:

payload, headers = hyper_session.generate_kasada_payload(hyper_sdk.KasadaPayloadInput(
    user_agent=USER_AGENT,
    ips_link=ips_link,
    script=ips_script,
    language="en-US"
))
# Use payload and headers for the next request

Generating Pow Data (CD)

To generate POW data (x-kpsdk-cd) tokens, use the generate_kasada_pow function:

cd = hyper_session.generate_kasada_pow(hyper_sdk.KasadaPowInput(
    st=st,
    work_time=None
))
# Use cd as the x-kpsdk-cd header in the next request

Parsing Script Path

To parse the Kasada script path from the given blocked page (status code 429) HTML code, use the parse_script_path function:

from hyper_sdk.kasada import parse_script_path

script_path = parse_script_path(html_content)
# script_path will look like: /ips.js?...

DataDome

The DataDome package provides functions for interacting with DataDome Bot Manager, including parsing device link URLs for interstitial and slider challenges.

Generating Interstitial Payload

To generate payload data required for solving interstitial challenges, use the generate_interstitial_payload function:

payload = hyper_session.generate_interstitial_payload(hyper_sdk.DataDomeInterstitialInput(
    user_agent=USER_AGENT,
    device_link=device_check_link,
    html=html_content
))
# Use the payload to POST to https://geo.captcha-delivery.com/interstitial/

Generating Slider Payload

To solve DataDome Slider challenges, use the generate_slider_payload function:

payload = hyper_session.generate_slider_payload(hyper_sdk.DataDomeSliderInput(
    user_agent=USER_AGENT,
    device_link=device_check_link,
    html=html_content,
    puzzle=base64_encoded_puzzle,
    piece=base64_encoded_piece
))
# Create a GET request to the payload URL

Parsing Interstitial DeviceLink URL

To parse the Interstitial DeviceLink URL from the HTML code, use the parse_interstitial_device_check_link function:

from hyper_sdk.datadome import parse_interstitial_device_check_link

device_link = parse_interstitial_device_check_link(html_content, datadome_cookie, referer)
# device_link will look like: https://geo.captcha-delivery.com/interstitial/?...

Parsing Slider DeviceLink URL

To parse the Slider DeviceLink URL from the HTML code, use the parse_slider_device_check_link function:

from hyper_sdk.datadome import parse_slider_device_check_link

device_link = parse_slider_device_check_link(html_content, datadome_cookie, referer)
# device_link will look like: https://geo.captcha-delivery.com/captcha/?...