Character creation

Free

Unlimited

Free commercial use

Realistic photo 3D character generator

4.6(9)75 users

Author

Declan McRory

🛠️ 24 tools 🙏 1,773 karma

Envision and manifest your dream characters with our AI-powered Realistic Photo 3D Character Generator! Input desired traits and watch as we sculpt immaculate, hyper-detailed, lifelike images, going from concept to high-resolution reality in a flash.

Sponsor:

RocketVibe coding

Click or drag image

PNG, JPG, GIF up to 10MB

Optional: Upload an image to enhance your generation

Please provide the character's attributes (age, gender, ethnicity, occupation, personality traits, visual elements) to generate the 3D character.

Suggest

Aspect ratio:

Generated content is 100% free to use, including commercial use.

Generate

Generations Other tools by this author Popular tools Top rated

View more mini tools in our Mini Tools section Explore mini tools

                
            

                Adult coloring page generator
                
            
Crafting stunning adult coloring pages with AI.

    Open
9,749
175
4.2
283

    Released
    1y ago
100% Free
ShareColoring pages
            
            
            
                
                
            
        

                
            

                Album cover generator
                
            
AI-powered album art from your ideas

    Open
545
67
4.2
163

    Released
    1y ago
100% Free
ShareAlbum covers
            
            
            
                
                
            
        

                
            

                Google extension master
                
            
AI-powered wizard for crafting Chrome extensions effortlessly
Chrome extensions development
            
            
            
                
                
            
        

    Open
328
37
5.0
54

    Released
    1y ago
100% Free
ShareThank you for providing the information about the Facebook group member extraction extension. I'll guide you through creating this Chrome extension, explaining each component and the rationale behind the code. Please note that scraping user data from Facebook may violate their terms of service, so proceed with caution and ensure you have proper authorization.

Here's a step-by-step guide to create the extension:

1. Create the manifest file (manifest.json):

```json
{
  "manifest_version": 2,
  "name": "Facebook Group Member Extractor",
  "version": "1.0",
  "description": "Extract member information from a Facebook group and save as CSV",
  "permissions": [
    "activeTab",
    "storage",
    "*://*.facebook.com/*"
  ],
  "browser_action": {
    "default_popup": "popup.html",
    "default_icon": {
      "16": "icon16.png",
      "48": "icon48.png",
      "128": "icon128.png"
    }
  },
  "content_scripts": [
    {
      "matches": ["*://*.facebook.com/groups/*"],
      "js": ["content.js"]
    }
  ],
  "background": {
    "scripts": ["background.js"],
    "persistent": false
  }
}
```

This manifest file defines the extension's properties, permissions, and components. We're using manifest version 2 for broader compatibility. The permissions allow the extension to access the active tab, use storage, and interact with Facebook.com.

2. Create the popup interface (popup.html):

```html
<!DOCTYPE html>
<html>
<head>
  <title>Facebook Group Member Extractor</title>
  <style>
    body { width: 300px; padding: 10px; }
    button { margin-top: 10px; }
  </style>
</head>
<body>
  <h2>Facebook Group Member Extractor</h2>
  <button id="extract">Extract Members</button>
  <div id="status"></div>
  <script src="popup.js"></script>
</body>
</html>
```

This creates a simple popup with a button to trigger the extraction process.

3. Create the popup logic (popup.js):

```javascript
document.getElementById('extract').addEventListener('click', function() {
  chrome.tabs.query({active: true, currentWindow: true}, function(tabs) {
    chrome.tabs.sendMessage(tabs[0].id, {action: "extract"}, function(response) {
      document.getElementById('status').textContent = "Extraction in progress...";
    });
  });
});

chrome.runtime.onMessage.addListener(function(request, sender, sendResponse) {
  if (request.action === "extractionComplete") {
    document.getElementById('status').textContent = "Extraction complete! CSV file downloaded.";
  }
});
```

This script adds a click listener to the extract button, which sends a message to the content script to start the extraction process.

4. Create the content script (content.js):

```javascript
chrome.runtime.onMessage.addListener(function(request, sender, sendResponse) {
  if (request.action === "extract") {
    extractMembers();
  }
});

function extractMembers() {
  let members = [];
  // This selector may need to be updated based on Facebook's current DOM structure
  const memberElements = document.querySelectorAll('div[data-visualcompletion="ignore-dynamic"][role="gridcell"]');
  
  memberElements.forEach(element => {
    const name = element.querySelector('a[role="link"]').textContent;
    const profileUrl = element.querySelector('a[role="link"]').href;
    members.push({name, profileUrl});
  });

  if (members.length > 0) {
    const csv = convertToCSV(members);
    downloadCSV(csv);
    chrome.runtime.sendMessage({action: "extractionComplete"});
  }
}

function convertToCSV(objArray) {
  const array = typeof objArray !== 'object' ? JSON.parse(objArray) : objArray;
  let str = 'Name,Profile URL\r\n';

  for (let i = 0; i < array.length; i++) {
    let line = '';
    line += array[i].name + ',' + array[i].profileUrl;
    str += line + '\r\n';
  }

  return str;
}

function downloadCSV(csv) {
  const blob = new Blob([csv], { type: 'text/csv;charset=utf-8;' });
  const link = document.createElement("a");
  if (link.download !== undefined) {
    const url = URL.createObjectURL(blob);
    link.setAttribute("href", url);
    link.setAttribute("download", "facebook_group_members.csv");
    link.style.visibility = 'hidden';
    document.body.appendChild(link);
    link.click();
    document.body.removeChild(link);
  }
}
```

This content script listens for the "extract" message, then scrapes the member information from the Facebook group page, converts it to CSV format, and triggers a download.

5. Create a background script (background.js):

```javascript
chrome.runtime.onInstalled.addListener(function() {
  console.log("Facebook Group Member Extractor installed.");
});
```

This simple background script logs a message when the extension is installed. You can expand this to handle more complex background tasks if needed.

6. Create icon files (icon16.png, icon48.png, icon128.png) for your extension.

To use this extension:

1. Load it as an unpacked extension in Chrome's developer mode.
2. Navigate to a Facebook group page.
3. Click the extension icon and then the "Extract Members" button.
4. The extension will scrape member information and download a CSV file.

Remember to regularly update the content script's selectors, as Facebook's DOM structure may change over time. Also, be mindful of rate limiting and respect Facebook's robots.txt file to avoid potential issues.

                
            

                Custom tattoo designer
                
            
AI-crafted tattoos from your vision to your skin.

    Open
116
29
3.6
43

    Released
    10mo ago
100% Free
ShareTattoos
            
            
            
                
                
            
        

                
            

                CodeKing
                
            
AI-powered code generation with clarity and precision.
Code snippets
            
            
            
                
                
            
        

    Open
183
19
5.0
28

    Released
    1y ago
100% Free
Share**Web Scraper Script**
=======================

### Overview

This Python script is designed to scrape data from a public website and output it in a CSV format. The script handles potential connection errors, respects the site's robots.txt, and allows customization of the user-agent.

### Dependencies

*   `beautifulsoup4` for parsing HTML content
*   `requests` for making HTTP requests
*   `csv` for writing CSV output
*   `robotparser` for parsing robots.txt
*   `argparse` for command-line argument parsing

### Installation

To install the dependencies, run:

```bash
pip install beautifulsoup4 requests
```

### Code

```python
import argparse
import csv
import logging
import os
import re
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin, urlparse
from urllib.robotparser import RobotFileParser

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

def scrape_website(url, user_agent, output_file):
    """
    Scrapes data from a website and writes it to a CSV file.

    Args:
        url (str): URL of the website to scrape
        user_agent (str): User-agent to use for HTTP requests
        output_file (str): Path to the output CSV file
    """

    # Parse robots.txt
    rp = RobotFileParser()
    rp.set_url(urljoin(url, "/robots.txt"))
    rp.read()

    # Check if scraping is allowed
    if not rp.can_fetch(user_agent, url):
        logger.error(f"Scraping is not allowed by robots.txt for {url}")
        return

    try:
        # Make HTTP request
        headers = {"User-Agent": user_agent}
        response = requests.get(url, headers=headers)
        response.raise_for_status()  # Raise an exception for HTTP errors
    except requests.RequestException as e:
        logger.error(f"Connection error: {e}")
        return

    # Parse HTML content
    soup = BeautifulSoup(response.text, "html.parser")

    # Find all relevant data (e.g., links, images, text)
    data = []
    for link in soup.find_all("a"):
        href = link.get("href")
        if href:
            data.append({"URL": href, "Text": link.text.strip()})

    # Write data to CSV file
    with open(output_file, "w", newline="") as csvfile:
        fieldnames = ["URL", "Text"]
        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

        writer.writeheader()
        for row in data:
            writer.writerow(row)

    logger.info(f"Data scraped and written to {output_file}")

def main():
    parser = argparse.ArgumentParser(description="Web Scraper Script")
    parser.add_argument("-u", "--url", required=True, help="URL of the website to scrape")
    parser.add_argument("-o", "--output", required=True, help="Path to the output CSV file")
    parser.add_argument("-a", "--user-agent", default="Web Scraper Bot/1.0", help="User-agent to use")
    args = parser.parse_args()

    scrape_website(args.url, args.user_agent, args.output)

if __name__ == "__main__":
    main()
```

### Documentation

#### Functions

*   `scrape_website(url, user_agent, output_file)`: Scrapes data from a website and writes it to a CSV file.
*   `main()`: Parses command-line arguments and calls `scrape_website()`.

#### Command-Line Arguments

*   `-u`, `--url`: URL of the website to scrape (required)
*   `-o`, `--output`: Path to the output CSV file (required)
*   `-a`, `--user-agent`: User-agent to use (default: "Web Scraper Bot/1.0")

#### Usage Examples

*   Scrape a website with default user-agent:

    ```bash
python web_scraper.py -u https://example.com -o output.csv
```

*   Scrape a website with custom user-agent:

    ```bash
python web_scraper.py -u https://example.com -o output.csv -a "Custom User Agent/1.0"
```

### Best Practices

*   Always respect the site's robots.txt and do not scrape data that is not allowed.
*   Use a reasonable user-agent to identify your scraper.
*   Handle potential connection errors and exceptions.
*   Test your scraper thoroughly to ensure it works as expected.

### Edge Cases

*   Handling non-HTML content: The script assumes that the website returns HTML content. If the website returns a different type of content (e.g., JSON, XML), you may need to modify the script accordingly.
*   Handling JavaScript-heavy websites: The script uses BeautifulSoup to parse HTML content. If the website uses a lot of JavaScript to load its content, you may need to use a more advanced tool like Selenium to render the JavaScript.

### Commit Message Guidelines

*   Follow standard professional guidelines for commit messages.

Example commit message:

```
Add web scraper script

*   Implemented web scraper script to scrape data from a public website
*   Added support for custom user-agent and handling of connection errors
*   Included detailed documentation and usage examples
```

How would you rate Realistic photo 3D character generator?

Help other people by letting them know if this AI was useful.

Add a comment

★ ★ ★ ★ ★

Post

Publiq Studio

Multi-Platform Catalog Management. Simplified.

E-commerce Catalogs

Open

39,069
28
4.0

Released 24d ago
Free + from $19.99/mo
Share

38,000 publiq.studio
DoubleClick.Work

Why AI Recommends Your Competitors - And How To Change That In

LLM management

Open

6,616
5
5.0

Released 17h ago
Free + from $10
Share

6,258 www.doubleclick.work

Kimberly Freeman

🙏 3 karma

Oct 3, 2025

Really handy tool — just double-click and it drops in things like videos, FAQs, or product blocks. Makes blog posts way more engaging without any extra hassle.

3 Reply Share Edit Delete Report