fake-traffic 1.0.3

Imitating an Internet user by mimicking popular web traffic

fake_traffic

Imitating an Internet user by mimicking popular web traffic (internet traffic generator).

How it works:

1. you specify the country, language and category of interests of a user,
while True:
  2. from google trends the script gets a list of popular keywords that are searched in real time 
  on google by people with a given category of interest in a given country in a given language,
  threads:
    3. select a random trend, take from there the keywords and urls of related articles,
    4. the selected keywords are searched on google and duckduckgo, the found urls are added 
       to the existing ones,
    5. the script sequentially sends requests to a list of urls,
    6. in each open url, recursive queries to random links are performed to a random depth (1-5).

Install

pip install -U fake_traffic

Dependencies

lxml
requests
google_trends
duckduckgo_search
google_searching

---

Simple usage

from fake_traffic import fake_traffic

fake_traffic(country='US', language='en-US")

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Advanced usage

from fake_traffic import fake_traffic

fake_traffic(country='US', language='en-US', category='h', threads=2, min_wait=1, max_wait=5, debug=True)
    """
    Imitating an Internet user by mimicking popular web traffic (internet traffic generator).

    country = country code ISO 3166-1 Alpha-2 code (https://www.iso.org/obp/ui/),
    language = country-language code ISO-639 and ISO-3166 (https://www.fincher.org/Utilities/CountryLanguageList.shtml),
    category = сategory of interest of a user (defaults to 'h'):
               'all' (all), 'b' (business), 'e' (entertainment), 
               'm' (health), 's' (sports), 't' (sci/tech), 'h' (top stories);
    threads = number of threads (defaults to 1),
    min_wait = minimal delay between requests (defaults to 1),
    max_wait = maximum delay between requests (defaults to 30),
    debug = if True, then print the details of the requests (defaults to False).
    """

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Example

Mimic traffic of a user located in Turkey, who speaks Kurdish and is interested in hot stories

Find Turkey country code (ISO 3166-1 Alpha-2 code):

• country = "TR"
  

Find Turkey country-language code (ISO-639 and ISO-3166):

• english "en-TR",
  
• kurdish "ku-TR",
  
• turkish "tr-TR".
  

Set the category ('h', because the user in the example is interested in hot stories):

• category = 'h'

Starting work in two threads:

• threads=2

from fake_traffic import fake_traffic

fake_traffic(country="TR", language="ku-TR", category='h', threads=2)

P.S. you can select language from other country. For example, such combinations are also correct:

fake_traffic(country="TR", language="ar-TR")
fake_traffic(country="US", language="he-IL")
fake_traffic(country="DE", language="hi-IN")

Other examples

Country	Language	Function
France	French	fake_traffic(country="FR", language="fr-FR")
Germany	German	fake_traffic(country="DE", language="de-DE", category='b')
India	English	fake_traffic(country="IN", language="en-IN", category='all')
India	Hindi	fake_traffic(country="IN", language="hi-IN", max_wait=10)
Russia	English	fake_traffic(country="RU", language="en-RU", category='b', threads=3, debug=True)
Russia	Russian	fake_traffic(country="RU", language="ru-RU", min_wait=0.5, max_wait=3, threads=5)
United Arab Emirates	Arabic	fake_traffic(country="AE", language="ar-AE", max_wait=60)
United Kingdom	English	fake_traffic(country="GB", language="en-GB")
United States	English	fake_traffic(country="US", language="en-US", min_wait=60, max_wait=300)