Six Python Automation Scripts for Common Repetitive Tasks

Repetitive tasks like cropping hundreds of photos, editing videos, or downloading many files can be time‑consuming, so automating them with Python scripts can save effort.

01. Image Processor

This script uses the Pillow library to perform common image operations such as cropping, resizing, flipping, rotating, compressing, blurring, sharpening, adjusting brightness and contrast, applying filters, and saving the result.

# Image Optimizing
# pip install Pillow
import PIL
# Cropping
im = PIL.Image.open("Image1.jpg")
im = im.crop((34, 23, 100, 100))
# Resizing
im = im.resize((50, 50))
# Flipping
im = im.transpose(PIL.Image.FLIP_LEFT_RIGHT)
# Rotating
im = im.rotate(360)
# Compressing
im.save("Image1.jpg", optimize=True, quality=90)
# Blurring
im = im.filter(PIL.ImageFilter.BLUR)
# Sharpening
im = im.filter(PIL.ImageFilter.SHARPEN)
# Set Brightness
im = PIL.ImageEnhance.Brightness(im).enhance(1.5)
# Set Contrast
im = PIL.ImageEnhance.Contrast(im).enhance(1.5)
# Adding Filters
im = PIL.ImageOps.grayscale(im)
im = PIL.ImageOps.invert(im)
im = PIL.ImageOps.posterize(im, 4)
# Saving
im.save("Image1.jpg")

02. Video Cutter

Using the MoviePy library, this script can trim video clips, change playback speed, add audio, reverse video, merge clips, apply visual effects, insert images, and finally export the edited video.

# Video Optimizer
# pip install moviepy
import moviepy.editor as pyedit
video = pyedit.VideoFileClip("vid.mp4")
vid1 = video.subclip(0, 10)
vid2 = video.subclip(20, 40)
final_vid = pyedit.concatenate_videoclips([vid1, vid2])
final_vid = final_vid.speedx(2)
aud = pyedit.AudioFileClip("bg.mp3")
final_vid = final_vid.set_audio(aud)
final_vid = final_vid.fx(pyedit.vfx.time_mirror)
# Merge two videos
vid1 = pyedit.VideoFileClip("vid1.mp4")
vid2 = pyedit.VideoFileClip("vid2.mp4")
final_vid = pyedit.concatenate_videoclips([vid1, vid2])
# Add VFX
vid1 = final_vid.fx(pyedit.vfx.mirror_x)
vid2 = final_vid.fx(pyedit.vfx.invert_colors)
final_vid = pyedit.concatenate_videoclips([vid1, vid2])
# Add Images to Video
img1 = pyedit.ImageClip("img1.jpg")
img2 = pyedit.ImageClip("img2.jpg")
final_vid = pyedit.concatenate_videoclips([img1, img2])
final_vid.write_videofile("final.mp4")

03. PDF to Images

This script leverages PyMuPDF (fitz) to open a PDF file, iterate through its pages, render each page as a bitmap, and save each page as a PNG image.

# PDF to Images
# pip install PyMuPDF
import fitz

def pdf_to_images(pdf_file):
    doc = fitz.open(pdf_file)
    for p in doc:
        pix = p.get_pixmap()
        output = f"page{p.number}.png"
        pix.writePNG(output)

pdf_to_images("test.pdf")

04. API Data Fetcher

Using urllib3, this script demonstrates how to send GET requests to retrieve data from an API and POST requests to submit data, printing the HTTP status and response body.

# pip install urllib3
import urllib3
# Fetch API data
url = "https://api.github.com/users/psf/repos"
http = urllib3.PoolManager()
response = http.request('GET', url)
print(response.status)
print(response.data)
# Post API data
url = "https://httpbin.org/post"
response = http.request('POST', url, fields={'hello': 'world'})
print(response.status)
print(response.data)

05. Internet Downloader

This script uses the internetdownloadmanager package to create a multi‑threaded downloader capable of resuming interrupted downloads and handling large files.

# Python Downloader
# pip install internetdownloadmanager
import internetdownloadmanager as idm

def Downloader(url, output):
    pydownloader = idm.Downloader(worker=20,
                                   part_size=1024*1024*10,
                                   resumable=True)
    pydownloader.download(url, output)

Downloader("Link url", "image.jpg")
Downloader("Link url", "video.mp4")

06. World News Fetcher

With the requests library, this script calls a news API (requiring an API key) to retrieve up to 50 recent news articles about a given topic and prints the JSON response.

# World News Fetcher
# pip install requests
import requests
ApiKey = "YOUR_API_KEY"
url = f"https://api.worldnewsapi.com/search-news?text=hurricane&api-key={ApiKey}"
headers = {'Accept': 'application/json'}
response = requests.get(url, headers=headers)
print("News: ", response.json())

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