Export blogových príspevkov z Wix do Markdown pomocou OpenAI
Prečo exportovať blogové príspevky z Wix?
Zhrnutie: Tento návod ukazuje, ako exportovať blogové príspevky z Wix do Markdown pomocou troch Python skriptov: spúšťač nastavenia, scraper založený na Selenium a konvertor HTML na Markdown poháňaný OpenAI. Výsledkom sú čisté, prenosné Markdown súbory pripravené pre Hugo, Jekyll alebo akýkoľvek generátor statických stránok.
Wix neponúka natívny export blogu do Markdown. Ak migrujete na generátor statických stránok ako Hugo alebo Jekyll, musíte scrapovať vykreslené stránky, extrahovať obsah a konvertovať ho. Tento návod automatizuje celý proces pomocou Python, Selenium, BeautifulSoup a OpenAI GPT API.
Pipeline používa tri skripty:
fetch_blog_posts.sh— nastaví prostredie a spustí pipelineparse_blog_sitemap.py— vykreslí stránky pomocou Selenium, extrahuje obsah, stiahne obrázkygenerate_md.py— konvertuje HTML na Markdown cez OpenAI
Krok 1: Nastavenie prostredia
Vytvorte fetch_blog_posts.sh na spracovanie kontroly Python, nastavenie virtuálneho prostredia, inštaláciu závislostí a spustenie pipeline.
#!/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
deactivateKrok 2: Scrapovanie a extrakcia obsahu blogu
parse_blog_sitemap.py vykonáva ťažkú prácu:
- Získa sitemap XML na objavenie všetkých URL blogových príspevkov
- Vykreslí každú stránku pomocou Selenium (potrebné, pretože Wix obsah sa načítava dynamicky)
- Extrahuje
<div id="content-wrapper">na izoláciu obsahu článku - Stiahne všetky obrázky lokálne a aktualizuje atribúty
src - Uloží vyčistené HTML ako
_index.html - Zavolá konvertor Markdown
Prečo Selenium namiesto requests? Wix vykresluje obsah pomocou JavaScript. Jednoduchý HTTP request vráti prázdnu kostru stránky. Selenium spustí headless Chrome prehliadač na získanie plne vykresleného HTML.
#!/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()Krok 3: Konverzia HTML na Markdown pomocou OpenAI
generate_md.py načíta každý súbor _index.html, odošle obsah do OpenAI Chat API a zapíše výsledný Markdown.
#!/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()Štruktúra výstupných priečinkov
Po spustení pipeline každý blogový príspevok dostane vlastný priečinok:
downloads/
your-post-title/
_index.html # Extrahované a vyčistené HTML
_index.md # Konvertovaný Markdown
image1.png # Stiahnuté obrázky
image2.pngNastavenie OpenAI API kľúča
Uložte svoj API kľúč do súboru s názvom OPENAI_API_KEY.TXT v adresári skriptov:
sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXSpustenie celého pipeline
bash fetch_blog_posts.shTento jediný príkaz nastaví prostredie, scrapuje všetky blogové príspevky zo sitemapy, stiahne obrázky a konvertuje všetko na Markdown.
Prispejte do projektu
Projekt je open source. Hlásenia chýb, návrhy funkcií a pull requesty sú vítané.
Často kladené otázky
Prečo nemôžem použiť len requests na scrapovanie blogových príspevkov z Wix?
Funguje to s akýmkoľvek blogom na Wix?
SITEMAP_URL v parse_blog_sitemap.py tak, aby ukazovala na sitemapu vašej stránky.
Aký model OpenAI to používa?
API_MODEL v generate_md.py na použitie iného modelu.
Môžem to použiť na migráciu z Wix do Hugo?
_index.md na dokončenie migrácie.