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# htg_product_scraper2_merged.py
import asyncio
import json
import random
import time
import os
from playwright.async_api import async_playwright
# ── NEW IMPORT FOR TEMPLATE RENDERING ──
from jinja2 import Environment, FileSystemLoader, select_autoescape
# ── HELPER #1: Render HTML from template ──
def render_html_output(template_dir, template_name, out_filename, context):
"""
Renders a Jinja2 HTML template with the given context dict and writes to out_filename.
- template_dir: folder where product_template.html lives
- template_name: "product_template.html"
- out_filename: e.g. "output_my-product-slug.html"
- context: {"title": ..., "price": ..., "description": ..., "specifications": {...}}
"""
env = Environment(
loader=FileSystemLoader(searchpath=template_dir),
autoescape=select_autoescape(['html', 'xml'])
)
template = env.get_template(template_name)
rendered = template.render(context)
# Write to file
with open(out_filename, "w", encoding="utf-8") as f:
f.write(rendered)
print(f"[+] Wrote HTML output to: {out_filename}")
# ── HELPER #2: Create a filesystem‐safe slug for each product ──
def slugify(text):
"""
Simplest slugify: lowercase, replace spaces/non-alphanumeric with hyphens.
"""
import re
text = text.lower().strip()
slug = re.sub(r'[^a-z0-9]+', '-', text)
slug = re.sub(r'-{2,}', '-', slug).strip('-')
return slug or "product"
async def scrape_product(page, url):
"""
Navigate to `url`, extract title/price/description/specifications,
then call render_html_output(...) to write a styled HTML file.
Return a dict of the raw data if you want to save it elsewhere.
"""
await page.goto(url, timeout=60000)
# ── ADJUSTED EXTRACTION LOGIC ──
# 1. Title: the first <h1> on the page
title = await page.text_content("h1")
# 2. Price: an <h3> that contains "Starting At"
# (Playwright supports :has-text in locator strings)
price_locator = page.locator("h3:has-text('Starting At')")
try:
price = await price_locator.text_content()
except:
price = None
# 3. Description: raw HTML inside the “Description” tab
# (on HTG Supply, that’s typically #tab-description)
try:
description = await page.inner_html("#tab-description")
except:
description = ""
# 4. SPECIFICATIONS: DOM traversal instead of invalid selectors
specs = await page.evaluate("""() => {
const items = document.querySelectorAll('.accordion-item');
for (const item of items) {
const titleElem = item.querySelector('.accordion-title');
if (!titleElem) continue;
const text = titleElem.textContent.toLowerCase();
if (text.includes('specifications') || text.includes('specs')) {
const table = item.querySelector('table');
if (!table) return null;
const rows = table.querySelectorAll('tr');
const specs_dict = {};
rows.forEach(row => {
const cells = row.querySelectorAll('td, th');
if (cells.length >= 2) {
const key = cells[0].innerText.trim();
const value = cells[1].innerText.trim();
specs_dict[key] = value;
}
});
return specs_dict;
}
}
return null;
}""")
if specs is None:
specs = {}
# ── Prepare context data ──
product_data = {
"title": title.strip() if title else "No Title",
"price": price.strip() if price else "N/A",
"description": description or "",
"specifications": specs
}
# Decide on an output filename
slug = slugify(product_data["title"])
html_filename = f"output_{slug}.html"
# Assume the template is in the same folder as this script:
template_dir = os.path.dirname(os.path.abspath(__file__))
render_html_output(
template_dir=template_dir,
template_name="product_template.html",
out_filename=html_filename,
context=product_data
)
return product_data
async def main():
# ── LIST OF PRODUCT URLs TO SCRAPE ──
product_urls = [
"https://www.htgsupply.com/products/digital-greenhouse-hhp-1000w-de-grow-light/#tab-description",
# Add more URLs here if needed
]
async with async_playwright() as p:
browser = await p.chromium.launch(headless=True)
page = await browser.new_page()
all_data = []
for url in product_urls:
try:
data = await scrape_product(page, url)
all_data.append(data)
# Optional: sleep a bit to avoid hammering the server
time.sleep(random.uniform(1.0, 2.5))
except Exception as e:
print(f"[!] Error scraping {url}: {e}")
# Optionally: save all extracted data to a JSON file
with open("all_products.json", "w", encoding="utf-8") as jf:
json.dump(all_data, jf, indent=2)
await browser.close()
if __name__ == "__main__":
asyncio.run(main())