Keywords: Python | HTTP Requests | POST Method | Custom Headers | Requests Library | JSON Serialization | Network Programming
Abstract: This technical article provides an in-depth analysis of sending POST requests with custom HTTP headers in Python. Through a practical case study, it demonstrates how to properly configure request headers and JSON payloads using the requests library, resolving common network connection errors. The article thoroughly examines HTTP protocol specifications, header field mechanisms, and differences between Python HTTP client libraries, offering complete solutions and best practice guidance for developers.
Problem Background and Error Analysis
In web development and data scraping scenarios, it is often necessary to send POST requests to servers using Python scripts. The user attempted to send a POST request with custom HTTP headers using Python's httplib module but encountered a socket.gaierror: [Errno -2] Name or service not known error. This error typically indicates DNS resolution failure or incorrect hostname configuration.
Original Code Issue Diagnosis
Analyzing the user's initial code reveals several critical issues:
First, the host variable definition includes the path component: "www.mywbsite.fr/sport/multiplex.aspx". According to HTTP protocol specifications, hostnames should not contain path information, which causes DNS resolution failure. The correct approach is to separate the hostname from the path.
Second, the params parameter is defined as a string format rather than a proper JSON object. In HTTP requests, JSON payloads need to be serialized in the correct format:
import json
# Incorrect parameter format
params = '"isLeftColumn":"false","liveID":"-1","userIpCountryCode":"FR","version":"null","languageCode":"fr","siteCode":"frfr","Quotation":"eu"'
# Correct parameter format
payload = {
"isLeftColumn": False,
"lID": -1,
"userIpCountryCode": "FR",
"version": None,
"languageCode": "fr",
"siteCode": "frfr",
"Quotation": "eu"
}
Requests Library Solution
The requests library provides more concise and powerful HTTP client functionality. Here is the complete solution:
import requests
import json
url = 'https://www.mywbsite.fr/Services/GetFromDataBaseVersionned'
# Define request payload
payload = {
"isLeftColumn": False,
"lID": -1,
"userIpCountryCode": "FR",
"version": None,
"languageCode": "fr",
"siteCode": "frfr",
"Quotation": "eu"
}
# Define HTTP headers
headers = {
"Connection": "keep-alive",
"Origin": "https://www.mywbsite.fr",
"X-Requested-With": "XMLHttpRequest",
"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.52 Safari/536.5",
"Content-Type": "application/json",
"Accept": "*/*",
"Referer": "https://www.mywbsite.fr/data/mult.aspx",
"Accept-Encoding": "gzip,deflate,sdch",
"Accept-Language": "fr-FR,fr;q=0.8,en-US;q=0.6,en;q=0.4",
"Accept-Charset": "ISO-8859-1,utf-8;q=0.7,*;q=0.3",
"Cookie": "ASP.NET_SessionId=j1r1b2a2v2w245; GSFV=FirstVisit=; GSRef=https://www.google.fr/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CHgQFjAA&url=https://www.mywbsite.fr/&ei=FZq_T4abNcak0QWZ0vnWCg&usg=AFQjCNHq90dwj5RiEfr1Pw; HelpRotatorCookie=HelpLayerWasSeen=0; NSC_GSPOUGS!TTM=ffffffff09f4f58455e445a4a423660; GS=Site=frfr; __utma=1.219229010.1337956889.1337956889.1337958824.2; __utmb=1.1.10.1337958824; __utmc=1; __utmz=1.1337956889.1.1.utmcsr=google|utmccn=(organic)|utmcmd=organic|utmctr=(not%20provided)"
}
# Send POST request
response = requests.post(url, data=json.dumps(payload), headers=headers)
# Process response
print(response.status_code)
print(response.content)
Key Technical Points Analysis
URL Construction Standards: Complete URLs should include protocol, hostname, and path. In the requests library, full URLs can be used directly, and the library automatically handles hostname resolution and connection establishment.
JSON Data Serialization: When Content-Type is set to application/json, the request body must be a valid JSON string. The json.dumps() function converts Python dictionaries to JSON format strings, ensuring correct data formatting.
HTTP Header Management: HTTP headers are passed as dictionaries to the headers parameter. Note that some header fields like Content-Length are typically automatically calculated by HTTP client libraries and do not need manual specification.
Advanced Configuration and Error Handling
In practical applications, network timeouts, retry mechanisms, and exception handling should be considered:
import requests
import json
from requests.exceptions import RequestException
def send_post_request(url, payload, headers, timeout=30):
"""
Enhanced version of POST request sending with error handling
Args:
url: Request URL
payload: Request data
headers: HTTP headers
timeout: Timeout in seconds
Returns:
response: Response object or None (if error occurs)
"""
try:
response = requests.post(
url,
data=json.dumps(payload),
headers=headers,
timeout=timeout
)
response.raise_for_status() # Raise exception for non-200 status codes
return response
except RequestException as e:
print(f"Request failed: {e}")
return None
# Usage example
url = 'https://www.mywbsite.fr/Services/GetFromDataBaseVersionned'
payload = {"isLeftColumn": False, "lID": -1}
headers = {"Content-Type": "application/json"}
response = send_post_request(url, payload, headers)
if response:
print(f"Request successful, status code: {response.status_code}")
print(f"Response content: {response.text}")
Performance Optimization Recommendations
For high-frequency requests, consider using session objects to reuse TCP connections:
import requests
import json
# Create session object
session = requests.Session()
# Configure common headers
session.headers.update({
"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.5",
"Accept": "*/*"
})
# Send multiple requests
url = 'https://www.mywbsite.fr/Services/GetFromDataBaseVersionned'
payloads = [
{"isLeftColumn": False, "lID": -1},
{"isLeftColumn": True, "lID": 1}
]
for payload in payloads:
response = session.post(url, data=json.dumps(payload))
print(f"Response: {response.status_code}")
Using session objects significantly reduces connection establishment overhead and improves request efficiency.