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Simple client library for the REST API

Project description

A simple way to access the API from your Python code

import webhose

for post in"github"):


To make use of the API, you need to obtain a token that would be used on every request. To obtain an API key, create an account at, and then go into to see your token.


You can install from source:

$ git clone
$ cd webhose-python
$ python install

Use the API

To get started, you need to import the library, and set your access token. (Replace YOUR_API_KEY with your actual API key).

>>> import webhose
>>> webhose.config(token=YOUR_API_KEY)

Now you can make a request and inspect the results:

>>> r ="foobar")
>>> len(r.posts)
>>> r.posts[0].language
>>> r.posts[0].title
'Putting quotes around dictionary keys in JS'

For your convenience, the Response object is iterable, so you can loop over it and get all the results. The iterator will create additional API requests to fetch additional pages.

>>> total_words = 0
>>> for post in r:
...     total_words += len(post.text.split(" "))
>>> print(total_words)

Warning: This method can use up your credits if your search has lots of results.

Full documentation

  • config(token)
    • token - your API key
  • search(query, token=None)
    • query - the search query, either as a search string, or as a Query object
    • token - you can provide the API key directly to the search function if you want

Query objects

Query object correspond to the advanced search options that appear on

Query object have the following members:

  • all_terms - a list of strings, all of which must appear in the results
  • some_terms - a list of strings, some of which must appear in the results
  • phrase - a phrase that must appear verbatim in the results
  • exclude - terms that should not appear in the results
  • site_type - one or more of discussions, news, blogs
  • language - one or more of language names, in lowercase english
  • site - one or more of site names, top level only (i.e., and not
  • title - terms that must appear in the title
  • body_text - term that must appear in the body text

Query objects implement the __str__() method, which shows the resulting search string.

Response objects

Response objects have the following members:

  • total - the total number of posts which match this search
  • more - the number of posts not included in this response
  • posts - a list os Post objects
  • next - a URL for the next results page for this search
  • response - the original requests response
  • get_next() - a method to fetch the next page of results. Returns a new Response object

Response objects implement the __iter__() method, which can be used to loop over all posts matching the query. (Automatic page fetching)

Post and Thread objects

Post and Thread object contain the actual data returned from the API. Consult to find out about their structure.


If you want to make repeated searches, performing an action whenever there are new results, use code like this:

r ="skyrim")
while True:
    for post in r:
    r = r.get_next()

Project details

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