Build a Simple Python Web Crawler to Search and Download Files from Pansou

This tutorial walks through building a simple Python web crawler that searches the Pansou site, handles AJAX‑loaded JSON data, extracts file links, and enables interactive downloading, illustrating core backend techniques such as HTTP GET requests, JSON parsing, and user‑driven pagination.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
Build a Simple Python Web Crawler to Search and Download Files from Pansou

1. Introduction

In the era of knowledge sharing, many people download files for later study. This project aims to search for resources on the Pansou website and download them.

2. Project Goal

Implement a tool that can search for desired files and download them.

3. Preparation

Developed using Sublime Text 3 with the SublimeREPL plugin for interactive execution.

4. Implementation

Open Pansou, observe the URL pattern, and use a GET request with requests.get to perform the search.

import requests

def down(content):
    content = input('请输入要下载的文件名')
    rep = requests.get('http://www.pansou.com/?q=' + str(content))
    rep.encoding = 'utf-8'

Because the page loads results via AJAX, the initial HTML does not contain the needed data. By inspecting the network, a JSON API endpoint is discovered (illustrated by the images). The JSON response is parsed into a dictionary, extracting the list of results. Pagination is handled by changing the parameter p.

After extracting the links, the program can present them to the user for selection and download by copying the link to a browser.

5. Summary

Avoid excessive crawling to prevent server overload.

The tutorial demonstrates building a simple Python search engine using web crawling techniques.

Hands‑on problem solving deepens understanding.

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PythonautomationJSONFile DownloadWeb Crawlingrequests
Python Crawling & Data Mining
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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!

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