![]() The current use of JSON is limited to the retrieval of individual product data sheets.Our JSON interface is relatively new, and certain aspects of our JSON interface might be subject to upgrades.Further, check out the Add-On page for popular platforms already integrating Icecat data. If you’re looking to push brand product data to Icecat, check out the Push-API (JSON) manual. See the overview of methods and manuals.ĭo you want to add product reviews? Then check out our reviews manual. If you want full control over the data, make use of the XML or CSV download methods. If you want to integrate product data without frames conforming to your CSS, then use Icecat Live, which is the modern variant of the good-old URL integration method. For Full Icecat JSON, we refer to the general Icecat JSON manual. This manual explains the Open Icecat JSON product requests (Pull-API) call formats and the output. The main advantages of JSON are that it’s more efficient in data transfer and compatible with JavaScript applications requiring JSON. Under the hood, we use it in Icecat Live’s JavaScript applications. os.makedirs("path/to/directory", exist_ok=True) # succeeds even if directory exists.JSON (JavaScript Object Notation) is an increasingly popular means of transferring data, comparable to XML. and by allowing a keyword argument to os.makedirs called exist_ok (in 3.2+). Modern versions of Python improve this code quite a bit, both by exposing FileExistsError (in 3.3+). ![]() The developer would have to know more about the particular application being developed and its expected environment before choosing an implementation. One option would be to trap the OSError and examine the embedded error code (see Is there a cross-platform way of getting information from Python’s OSError): import os, errnoĪlternatively, there could be a second os.path.exists, but suppose another created the directory after the first check, then removed it before the second one – we could still be fooled.ĭepending on the application, the danger of concurrent operations may be more or less than the danger posed by other factors such as file permissions. Unfortunately, blanket-catching OSError and continuing is not foolproof, as it will ignore a failure to create the directory due to other factors, such as insufficient permissions, full disk, etc. ![]() import osĪs noted in comments and elsewhere, there's a race condition – if the directory is created between the os.path.exists and the os.makedirs calls, the os.makedirs will fail with an OSError. Try os.path.exists, and consider os.makedirs for the creation. ![]() Path("/my/directory").mkdir(parents=True, exist_ok=True)įor older versions of Python, I see two answers with good qualities, each with a small flaw, so I will give my take on it: On Python ≥ 3.5, use : from pathlib import Path My attempt was to use a second loop to iterate over j (see below) but no success :/ for each in j: But I am unable to parse the individual features. It works fine and prints the headlines of each feature category. My code looks like this so far: import requests Each product has different feature categories at the "top-level" and varying features below that in a nested structure. ![]() I basically want to extract basic datasheet information for products in the database. The nested structure is looking as follows: I am currently trying to extract product data from a JSON feed that contains nested data. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |