Python requests download csv file

This avoids loading the entire file into memory before we start processing it, drastically reducing memory overhead for large files. This question is tagged python However, Python 2 is now unsupported, and this question still has good google juice for "python csv urllib", so here's an updated Python 3 solution. It's now necessary to decode urlopen 's response in bytes into a valid local encoding, so the accepted answer has to be modified slightly:.

It's hardly advertised, but yes, csv. And since someone else mentioned pandas, here's a one-liner to display the CSV in a console-friendly output:. You however need to specify a path on HD. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Ask Question. Asked 8 years, 7 months ago. Active 1 year, 4 months ago.

Viewed k times. Can you access that domain directly? I can get csv file when I put the link on the browser. See pandas. Show 1 more comment. Active Oldest Votes. James Wierzba 14k 11 11 gold badges 60 60 silver badges bronze badges. Kathirmani Sukumar Kathirmani Sukumar 9, 4 4 gold badges 29 29 silver badges 32 32 bronze badges.

This is one of the simplest approach I have come across so far! So long as your CSV file fits into memory, this is okay. Didn't work for me, maybe I ran out of memory.

ParserError: Error tokenizing data. C error: Expected 1 fields in line 33, saw 2 — Agustin Barrachina. We will be using requests library in this article. To download and install Requests library, use following command:. OR, download it from here and install manually. An API Application Programming Interface enables you to access the internal features of a program in a limited fashion. For requests library, parameters can be defined as a dictionary.

These parameters are later parsed down and added to the base url or the api-endpoint. To understand the parameters role, try to print r. We use requests. The two arguments we pass are url and the parameters dictionary. This is achieved by using json method. Finally, we extract the required information by parsing down the JSON type object. We store this data as a dictionary.

The two arguments we pass are url and the data dictionary. Safest to use less than 2K of parameters, some servers handle up to 64K. There is no such restriction in POST method. What if we wanted to write multiple lines at once? We can use the writelines function to put data in a sequence like a list or tuple and into a file:. Check out our hands-on, practical guide to learning Git, with best-practices, industry-accepted standards, and included cheat sheet.

Stop Googling Git commands and actually learn it! As before, if we want the data to appear in new lines we include the newline character at the end of each string. If you'd like to skip the step of manually entering the newline character after each item in the list, it's easy to automate it:. Note : The input for writelines must be a flat sequence of strings or bytes - no numbers, objects or nested sequences like a list within a list are allowed.

If you're interested in reading more about lists and tuples, we already have an article dedicated to them - Lists vs Tuples in Python. Because of its popularity, Python has some built-in methods to make writing files of that type easier:. We first need to import the csv library to get their helper functions. This object provides us with the writerow method which allows us to put all the row's data in the file in one go.

We do need to import the json library and open the file. To actually write the data to the file, we just call the dump function, giving it our data dictionary and the file object.