How to Convert HTTP Headers and Cookies into Python Dictionaries Without Newlines

This article walks through a Python community member's problem of turning raw HTTP header strings and cookies into clean dictionary objects, explains why newline characters cause issues, and provides step‑by‑step code solutions using string replacement, JSON conversion, and built‑in libraries.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Convert HTTP Headers and Cookies into Python Dictionaries Without Newlines

1. Introduction

A Python enthusiast asked how to convert raw HTTP request headers and cookies into dictionary format, but the resulting dictionary contained unwanted newline characters.

2. Implementation

Several suggestions were offered:

Replace the "\n" sequence before splitting the string.

Use a custom delimiter and dict(map(lambda x: x.split('@#%'), ...)) to build the dictionary.

Convert the header block to JSON by replacing ":\n" with ":\"" and newlines with ",\"", then wrap with braces and load with json.loads.

Example code using the JSON approach:

import json

s = ''
authority:
www.qcc.com
method:
GET
path:
/web/search?key=海王
scheme:
https
Accept:
text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7
Accept-Encoding:
gzip, deflate, br, zstd
... (other headers) ...
User-Agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0''

s = s.replace('"', '').replace(':
', '":"').replace('
', '","')
s = '{"' + s + '"}'
s = json.loads(s)
print(s)

An alternative is to use eval(s) if the JSON library is not desired.

Images illustrating the problem and the final header structure are included below:

3. Conclusion

The community successfully transformed the raw header string into a clean Python dictionary, demonstrating practical techniques for handling newline characters and leveraging JSON conversion for HTTP header parsing.

Original Source

Signed-in readers can open the original source through BestHub's protected redirect.

Sign in to view source
Republication Notice

This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactadmin@besthub.devand we will review it promptly.

PythonCode Examplehttp-headersWeb ScrapingData Parsing
Python Crawling & Data Mining
Written by

Python Crawling & Data Mining

Life's short, I code in Python. This channel shares Python web crawling, data mining, analysis, processing, visualization, automated testing, DevOps, big data, AI, cloud computing, machine learning tools, resources, news, technical articles, tutorial videos and learning materials. Join us!

0 followers
Reader feedback

How this landed with the community

Sign in to like

Rate this article

Was this worth your time?

Sign in to rate
Discussion

0 Comments

Thoughtful readers leave field notes, pushback, and hard-won operational detail here.