Here is my code:
import csv
import requests
with requests.Session() as s:
s.post(url, data=payload)
download = s.get(\'url that directly download a
I like the answers from The Aelfinn and aheld. I can improve them only by shortening a bit more, removing superfluous pieces, using a real data source, making it 2.x & 3.x-compatible, and maintaining the high-level of memory-efficiency seen elsewhere:
import csv
import requests
CSV_URL = 'http://samplecsvs.s3.amazonaws.com/Sacramentorealestatetransactions.csv'
with requests.get(CSV_URL, stream=True) as r:
lines = (line.decode('utf-8') for line in r.iter_lines())
for row in csv.reader(lines):
print(row)
Too bad 3.x is less flexible CSV-wise because the iterator must emit Unicode strings (while requests does bytes) because the 2.x-only version—for row in csv.reader(r.iter_lines()):—is more Pythonic (shorter and easier-to-read). Anyhow, note the 2.x/3.x solution above won't handle the situation described by the OP where a NEWLINE is found unquoted in the data read.
For the part of the OP's question regarding downloading (vs. processing) the actual CSV file, here's another script that does that, 2.x & 3.x-compatible, minimal, readable, and memory-efficient:
import os
import requests
CSV_URL = 'http://samplecsvs.s3.amazonaws.com/Sacramentorealestatetransactions.csv'
with open(os.path.split(CSV_URL)[1], 'wb') as f, \
requests.get(CSV_URL, stream=True) as r:
for line in r.iter_lines():
f.write(line)