


How to automate data entry from Excel to a web form with Python?
The method of filling Excel data into web forms using Python is: first use pandas to read Excel data, and then use Selenium to control the browser to automatically fill in and submit the form; the specific steps include installing pandas, openpyxl and Selenium libraries, downloading the corresponding browser driver, using pandas to read the Name, Email, Phone and other fields in the data.xlsx file, launching the browser through Selenium to open the target web page, locate the form elements and fill in the data line by line, using WebDriverWait to process dynamic loading content, add exception processing and delay to ensure stability, and finally submit the form and process all data rows in a loop. The entire process requires attention to selecting the correct element positioning method and avoid being recognized by the website as an automated operation, so as to complete the batch data entry task efficiently and accurately.
Automating data entry from Excel to a web form using Python is a practical way to save time and reduce errors. You can achieve this by combining Python libraries like pandas
for reading Excel files and Selenium
for controlling a web browser to fill out forms. Here's how to do it step by step.
1. Prepare Your Environment
Before writing code, install the required packages:
pip install pandas openpyxl selenium
-
pandas
: Reads Excel files easily. -
openpyxl
: Supports.xlsx
file format. -
selenium
: Automates browser actions.
You'll also need a web driver for your browser (eg, ChromeDriver for Google Chrome). Download it from the ChromeDriver website and place it in your PATH or project folder.
2. Read Data from Excel Using Pandas
Assume your Excel file ( data.xlsx
) has columns like Name
, Email
, Phone
, etc., matching the web form fields.
import pandas as pd # Read the Excel file df = pd.read_excel("data.xlsx") # Iterate over each row for index, row in df.iterrows(): name = row["Name"] email = row["Email"] phone = row["Phone"] # Add more fields as needed
This gives you structured access to each record.
3. Automate the Web Form with Selenium
Use Selenium to open the browser, navigate to the form, and fill in the data.
from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.common.keys import Keys import time # Set up the driver (make sure chromedriver is in PATH) driver = webdriver.Chrome() # Open the target web form driver.get("https://example.com/form") # Wait for the page to load time.sleep(3) # Fill out the form for each row for index, row in df.iterrows(): # Find input fields and fill them driver.find_element(By.NAME, "name").clear() driver.find_element(By.NAME, "name").send_keys(row["Name"]) driver.find_element(By.NAME, "email").clear() driver.find_element(By.NAME, "email").send_keys(row["Email"]) driver.find_element(By.NAME, "phone").clear() driver.find_element(By.NAME, "phone").send_keys(row["Phone"]) # Submit the form driver.find_element(By.XPATH, "//button[@type='submit']").click() # Wait for submission to complete time.sleep(3) # Optionally go back to the form page for the next entry driver.get("https://example.com/form") time.sleep(2) # Close the browser when done driver.quit()
Replace
By.NAME
withBy.ID
,By.CSS_SELECTOR
, etc., depending on how you locate the form fields. Inspect the webpage using browser dev tools to find accurate selectors.
4. Handle Dynamic Pages and Errors
Real-world forms may have dynamic content or validation. Here are a few tips:
Use WebDriverWait for dynamic elements:
from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC wait = WebDriverWait(driver, 10) name_field = wait.until(EC.presence_of_element_located((By.NAME, "name")))
Add error handling :
Try: driver.find_element(By.NAME, "email").send_keys(row["Email"]) except Exception as e: print(f"Error filling email for {row['Name']}: {e}")
Avoid detection : Some sites block automation. Use options like:
options = webdriver.ChromeOptions() options.add_argument("--disable-blink-features=AutomationControlled") driver = webdriver.Chrome(options=options)
5. Tips for Reliable Automation
- Test with one row first before processing the full file.
- Add delays (
time.sleep()
orWebDriverWait
) to avoid overwhelming the server. - Log progress to track which rows were submitted.
- Save progress (eg, mark submitted rows in Excel) in case the script fails midway.
Basically, it's about reading Excel data and simulating user input in the browser. With
pandas
andselenium
, the process becomes straightforward—just match your data to the right form fields and handle page behavior carefully.The above is the detailed content of How to automate data entry from Excel to a web form with Python?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

To create a Python virtual environment, you can use the venv module. The steps are: 1. Enter the project directory to execute the python-mvenvenv environment to create the environment; 2. Use sourceenv/bin/activate to Mac/Linux and env\Scripts\activate to Windows; 3. Use the pipinstall installation package, pipfreeze>requirements.txt to export dependencies; 4. Be careful to avoid submitting the virtual environment to Git, and confirm that it is in the correct environment during installation. Virtual environments can isolate project dependencies to prevent conflicts, especially suitable for multi-project development, and editors such as PyCharm or VSCode are also

Usetracemalloctotrackmemoryallocationsandidentifyhigh-memorylines;2.Monitorobjectcountswithgcandobjgraphtodetectgrowingobjecttypes;3.Inspectreferencecyclesandlong-livedreferencesusingobjgraph.show_backrefsandcheckforuncollectedcycles;4.Usememory_prof

UsezoneinfoforPython3.9 tocreatetimezone-awaredatetimesandconvertbetweentimezoneswithastimezone();2.ForPython3.6–3.8,usepytzwithlocalize()toavoidDSTerrors;3.AlwaysworkinUTCinternallyandconverttolocaltimeonlyfordisplay;4.Parsetimezone-awarestringsusin

Use FlaskBlueprint to modularize the application according to functions; 1. Create blueprint instances and define routes, such as creating user_bp in user.py; 2. Create other blueprints in another file such as post.py; 3. Import in app.py and register each blueprint with app.register_blueprint(); 4. After running, access the corresponding URL to see the modular routing effect, the code structure is clearer and easy to maintain.

The method of filling Excel data into web forms using Python is: first use pandas to read Excel data, and then use Selenium to control the browser to automatically fill and submit the form; the specific steps include installing pandas, openpyxl and Selenium libraries, downloading the corresponding browser driver, using pandas to read Name, Email, Phone and other fields in the data.xlsx file, launching the browser through Selenium to open the target web page, locate the form elements and fill in the data line by line, using WebDriverWait to process dynamic loading content, add exception processing and delay to ensure stability, and finally submit the form and process all data lines in a loop.

To sort the values of the dictionary, use the sorted() function to match the dict.items() and key parameters; 1. Use lambdaitem:item[1] to sort by ascending order; 2. Add reverse=True to implement descending order; 3. Use operator.itemgetter(1) to replace lambda to improve readability and performance; the dictionary maintains the insertion order in Python 3.7, the original dictionary remains unchanged, and returns a new dictionary. If the value types are mixed, additional processing is required, and the final pattern is dict(sorted(d.items(), key=lambdax:x[1])).

To beautify and print JSON files, you need to use the indent parameters of the json module. The specific steps are: 1. Use json.load() to read the JSON file data; 2. Use json.dump() and set indent to 4 or 2 to write to a new file, and then the formatted JSON file can be generated and the beautified printing can be completed.

Define__iter__()toreturntheiteratorobject,typicallyselforaseparateiteratorinstance.2.Define__next__()toreturnthenextvalueandraiseStopIterationwhenexhausted.Tocreateareusablecustomiterator,managestatewithin__iter__()oruseaseparateiteratorclass,ensurin
