Eksporter Wix-blogginnlegg til Markdown med OpenAI
Hvorfor Eksportere Blogginnlegg fra Wix?
Sammendrag: Denne guiden viser hvordan du eksporterer Wix-blogginnlegg til Markdown ved hjelp av tre Python-skript: en oppsettskjører, en Selenium-basert scraper og en OpenAI-drevet HTML-til-Markdown-konverterer. Resultatet er rene, bærbare Markdown-filer klare for Hugo, Jekyll eller hvilken som helst statisk sidegenerator.
Wix tilbyr ikke en native bloggeksport til Markdown. Hvis du migrerer til en statisk sidegenerator som Hugo eller Jekyll, må du scrape de rendrede sidene, ekstrahere innholdet og konvertere det. Denne veiledningen automatiserer hele prosessen med Python, Selenium, BeautifulSoup og OpenAIs GPT API.
Pipelinen bruker tre skript:
fetch_blog_posts.sh— setter opp miljøet og kjører pipelinenparse_blog_sitemap.py— rendrer sider med Selenium, ekstraherer innhold, laster ned bildergenerate_md.py— konverterer HTML til Markdown via OpenAI
Trinn 1: Sett Opp Miljøet
Opprett fetch_blog_posts.sh for å håndtere Python-sjekker, oppsett av virtuelt miljø, installasjon av avhengigheter og kjøring av pipelinen.
#!/bin/bash
# setup_blog_scraper.sh
# Usage: bash setup_blog_scraper.sh
echo "🔍 Checking Python installation..."
if ! command -v python3 &> /dev/null; then
echo "❌ Python 3 is not installed. Please install Python 3 and try again."
exit 1
fi
echo "✅ Python 3 found: $(python3 --version)"
VENV_DIR=".venv"
if [ ! -d "$VENV_DIR" ]; then
echo "📁 Creating virtual environment in $VENV_DIR..."
python3 -m venv "$VENV_DIR"
else
echo "✅ Virtual environment already exists."
fi
echo "⚙️ Activating virtual environment..."
source "$VENV_DIR/bin/activate"
echo "📦 Installing dependencies..."
pip install --upgrade pip
pip install beautifulsoup4 lxml selenium webdriver-manager
echo "🚀 Running blog sitemap parser..."
python3 parse_blog_sitemap.py
deactivateTrinn 2: Scrap og Ekstraher Blogginnhold
parse_blog_sitemap.py gjør det tunge arbeidet:
- Henter sitemap-XML for å oppdage alle bloggpost-URL-er
- Rendrer hver side med Selenium (nødvendig fordi Wix-innhold lastes dynamisk)
- Ekstraherer
<div id="content-wrapper">for å isolere artikkelinnhold - Laster ned alle bilder lokalt og oppdaterer
src-attributter - Lagrer den rensede HTML-en som
_index.html - Kaller Markdown-konvertereren
Hvorfor Selenium i stedet for requests? Wix rendrer innhold med JavaScript. En enkel HTTP-forespørsel returnerer et tomt sideskall. Selenium kjører en headless Chrome-nettleser for å få den fullstendig rendrede HTML-en.
#!/usr/bin/env python3
import os
import re
import time
import xml.etree.ElementTree as ET
from urllib.parse import urlparse
from bs4 import BeautifulSoup
import urllib.request
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.chrome.service import Service as ChromeService
from webdriver_manager.chrome import ChromeDriverManager
# === CONFIG ===
SITEMAP_URL = "https://www.everappz.com/blog-posts-sitemap.xml"
BASE_OUTPUT_DIR = "downloads"
GPT_CONVERTER_SCRIPT = "generate_md.py"
# === UTILITIES ===
def fetch_rendered_html(url):
options = Options()
options.add_argument("--headless")
options.add_argument("--disable-gpu")
options.add_argument("--no-sandbox")
options.add_argument("--disable-dev-shm-usage")
options.add_argument("--window-size=1920,1080")
driver = webdriver.Chrome(service=ChromeService(ChromeDriverManager().install()), options=options)
try:
driver.get(url)
time.sleep(3)
return driver.page_source
finally:
driver.quit()
def sanitize_filename(filename):
return re.sub(r'[<>:"/\\\\|?*]', '_', filename)
def get_last_path_components(url, levels=2):
parts = urlparse(url).path.strip("/").split("/")
return os.path.join(*parts[-levels:])
def download_image(img_url, dest_folder):
try:
parsed = urlparse(img_url)
filename = os.path.basename(parsed.path)
dest_path = os.path.join(dest_folder, filename)
print(f"📥 Downloading image: {img_url}")
urllib.request.urlretrieve(img_url, dest_path)
return filename
except Exception as e:
print(f"⚠️ Failed to download image: {img_url} - {e}")
return None
def extract_content_wrapper(html):
soup = BeautifulSoup(html, "html.parser")
wrapper = soup.find("div", id="content-wrapper")
return str(wrapper) if wrapper else ""
def update_image_sources(content_html, folder):
from urllib.parse import urlparse
soup = BeautifulSoup(content_html, "html.parser")
for img in soup.find_all("img"):
src = img.get("data-pin-media") or img.get("src")
if src:
try:
parsed = urlparse(src)
filename = os.path.basename(parsed.path)
dest_path = os.path.join(folder, filename)
print(f"📥 Downloading image: {src}")
urllib.request.urlretrieve(src, dest_path)
img["src"] = filename # Update src to local path
except Exception as e:
print(f"⚠️ Failed to download image: {src} - {e}")
return str(soup)
def parse_sitemap_and_process():
os.makedirs(BASE_OUTPUT_DIR, exist_ok=True)
sitemap_xml = urllib.request.urlopen(SITEMAP_URL).read()
root = ET.fromstring(sitemap_xml)
url_elems = root.findall("{http://www.sitemaps.org/schemas/sitemap/0.9}url")
print(f"🔎 Total URLs found: {len(url_elems)}")
for url_elem in url_elems:
loc_elem = url_elem.find("{http://www.sitemaps.org/schemas/sitemap/0.9}loc")
if loc_elem is not None:
page_url = loc_elem.text.strip()
print(f"\n🔗 Processing: {page_url}")
try:
subpath = get_last_path_components(page_url)
folder_path = os.path.join(BASE_OUTPUT_DIR, subpath)
os.makedirs(folder_path, exist_ok=True)
html = fetch_rendered_html(page_url)
wrapper_html = extract_content_wrapper(html)
if not wrapper_html:
print(f"❌ No <div id='content-wrapper'> found in {page_url}")
continue
updated_html = update_image_sources(wrapper_html, folder_path)
index_html_path = os.path.join(folder_path, "_index.html")
with open(index_html_path, "w", encoding="utf-8") as f:
f.write(updated_html)
print(f"✅ Saved: {index_html_path}")
# Optional: call markdown converter
os.system(f"python3 {GPT_CONVERTER_SCRIPT} \"{index_html_path}\"")
except Exception as e:
print(f"❌ Failed to process {page_url}: {e}")
if __name__ == "__main__":
parse_sitemap_and_process()Trinn 3: Konverter HTML til Markdown med OpenAI
generate_md.py leser hver _index.html-fil, sender innholdet til OpenAIs Chat API og skriver den resulterende Markdown-en.
#!/usr/bin/env python3
import os
import sys
import json
import time
import random
import urllib.request
import urllib.error
from bs4 import BeautifulSoup
# === CONFIGURATION ===
API_MODEL = "gpt-4o"
API_KEY_FILE = "OPENAI_API_KEY.TXT"
DISABLE_API_REQUESTS = False
def read_openai_api_key():
with open(API_KEY_FILE, "r", encoding="utf-8") as f:
return f.read().strip()
def call_openai_to_convert_to_markdown(html_content, api_key=None):
if DISABLE_API_REQUESTS:
return html_content
if api_key is None:
api_key = read_openai_api_key()
time.sleep(round(random.uniform(1.0, 2.0), 2))
system_prompt = (
"You are a tool that converts HTML content from blog posts into well-structured Markdown (.md) format. "
"Convert all visible text content and replace all <img> tags with Markdown image syntax using their local filenames. "
"Retain the content hierarchy using proper markdown headers, and preserve paragraph structure. "
"Make sure image alt attributes (if any) are preserved as the alt text in the markdown image syntax."
)
data = {
"model": API_MODEL,
"temperature": 0.3,
"messages": [
{"role": "system", "content": system_prompt},
{"role": "user", "content": html_content}
]
}
request = urllib.request.Request(
"https://api.openai.com/v1/chat/completions",
data=json.dumps(data).encode("utf-8"),
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
)
try:
with urllib.request.urlopen(request) as response:
result = json.load(response)
markdown = result["choices"][0]["message"]["content"].strip()
return markdown
except Exception as e:
print(f"❌ OpenAI API request failed: {e}")
return ""
def extract_html_content(file_path):
with open(file_path, "r", encoding="utf-8") as f:
html = f.read()
soup = BeautifulSoup(html, "html.parser")
return soup.prettify()
def write_markdown_file(output_path, markdown_text):
with open(output_path, "w", encoding="utf-8") as f:
f.write(markdown_text)
print(f"✅ Markdown saved to {output_path}")
def main():
if len(sys.argv) != 2:
print("Usage: python3 generate_md.py path/to/_index.html")
return
html_file = sys.argv[1]
if not os.path.exists(html_file):
print(f"❌ File not found: {html_file}")
return
print(f"🔍 Converting HTML to Markdown: {html_file}")
html_content = extract_html_content(html_file)
markdown = call_openai_to_convert_to_markdown(html_content)
if markdown:
md_path = os.path.join(os.path.dirname(html_file), "_index.md")
write_markdown_file(md_path, markdown)
if __name__ == "__main__":
main()Utdatamappestruktur
Etter å ha kjørt pipelinen får hvert blogginnlegg sin egen mappe:
downloads/
your-post-title/
_index.html # Ekstrahert og renset HTML
_index.md # Konvertert Markdown
image1.png # Nedlastede bilder
image2.pngOpenAI API-nøkkel Oppsett
Lagre API-nøkkelen din i en fil kalt OPENAI_API_KEY.TXT i skriptmappen:
sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXKjør den Fullstendige Pipelinen
bash fetch_blog_posts.shDenne enkle kommandoen setter opp miljøet, scraper alle blogginnlegg fra sitemappen, laster ned bilder og konverterer alt til Markdown.
Bidra til Prosjektet
Prosjektet er åpen kildekode. Feilrapporter, funksjonsforslag og pull requests er velkomne.
Ofte Stilte Spørsmål
Hvorfor kan jeg ikke bare bruke requests til å scrape Wix-blogginnlegg?
Fungerer dette med hvilken som helst Wix-blogg?
SITEMAP_URL-variabelen i parse_blog_sitemap.py til å peke på nettstedets sitemap.
Hvilken OpenAI-modell bruker dette?
API_MODEL-variabelen i generate_md.py for å bruke en annen modell.
Kan jeg bruke dette til å migrere fra Wix til Hugo?
_index.md-filene for å fullføre migreringen.