222 lines
6.6 KiB
TypeScript
222 lines
6.6 KiB
TypeScript
import { json } from '@sveltejs/kit';
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import type { RequestHandler } from './$types';
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function isValidUrl(urlString: string): boolean {
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try {
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const url = new URL(urlString);
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if (!['http:', 'https:'].includes(url.protocol)) {
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return false;
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}
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const hostname = url.hostname.toLowerCase();
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if (hostname === 'localhost' || hostname === '127.0.0.1' || hostname === '::1') {
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return false;
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}
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return true;
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} catch {
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return false;
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}
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}
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export const POST: RequestHandler = async ({ request }) => {
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const { url } = await request.json();
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if (!url) {
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return json({ error: 'URL is required' }, { status: 400 });
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}
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if (!isValidUrl(url)) {
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return json({ error: 'Invalid URL' }, { status: 400 });
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}
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try {
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const response = await fetch(url, {
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headers: {
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'User-Agent':
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'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
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'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8',
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'Accept-Language': 'en-US,en;q=0.9',
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'Accept-Encoding': 'gzip, deflate, br',
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'Cache-Control': 'no-cache',
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'Pragma': 'no-cache'
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}
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});
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if (!response.ok) {
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return json({ error: 'Failed to fetch URL' }, { status: 400 });
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}
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const html = await response.text();
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const baseUrl = new URL(url);
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const origin = baseUrl.origin;
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const imageUrls: string[] = [];
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function toAbsoluteUrl(imgUrl: string): string {
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if (imgUrl.startsWith('http')) {
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return imgUrl;
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}
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if (imgUrl.startsWith('//')) {
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return `https:${imgUrl}`;
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}
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if (imgUrl.startsWith('/')) {
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return `${origin}${imgUrl}`;
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}
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return `${origin}/${imgUrl}`;
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}
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function isLikelyProductImage(url: string): boolean {
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const lower = url.toLowerCase();
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const badPatterns = [
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'logo', 'icon', 'sprite', 'favicon', 'banner', 'footer',
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'header', 'background', 'pattern', 'placeholder', 'thumbnail-small',
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'btn', 'button', 'menu', 'nav', 'navigation', 'social',
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'instagram', 'facebook', 'twitter', 'linkedin', 'pinterest'
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];
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if (badPatterns.some(pattern => lower.includes(pattern))) {
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return false;
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}
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if (url.endsWith('.svg')) {
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return false;
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}
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if (lower.includes('data:image')) {
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return false;
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}
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if (lower.includes('loading') || lower.includes('spinner') || lower.includes('skeleton')) {
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return false;
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}
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return true;
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}
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let match;
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// Priority 1: OpenGraph and Twitter meta tags (main product image)
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const ogImageRegex = /<meta[^>]+property=["']og:image["'][^>]+content=["']([^"'>]+)["']/gi;
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const twitterImageRegex = /<meta[^>]+name=["']twitter:image["'][^>]+content=["']([^"'>]+)["']/gi;
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while ((match = ogImageRegex.exec(html)) !== null) {
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const url = toAbsoluteUrl(match[1]);
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if (isLikelyProductImage(url) && !imageUrls.includes(url)) {
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imageUrls.push(url);
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}
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}
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while ((match = twitterImageRegex.exec(html)) !== null) {
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const url = toAbsoluteUrl(match[1]);
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if (isLikelyProductImage(url) && !imageUrls.includes(url)) {
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imageUrls.push(url);
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}
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}
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// Priority 2: Look for JSON-LD structured data (very common in modern e-commerce)
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const jsonLdRegex = /<script[^>]*type=["']application\/ld\+json["'][^>]*>([\s\S]*?)<\/script>/gi;
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while ((match = jsonLdRegex.exec(html)) !== null) {
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try {
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const jsonStr = match[1];
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const jsonData = JSON.parse(jsonStr);
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function extractImages(obj: any, results: Set<string>) {
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if (!obj || typeof obj !== 'object') return;
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if (Array.isArray(obj)) {
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obj.forEach((item: any) => extractImages(item, results));
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} else {
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for (const key in obj) {
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if (key === 'image' || key === 'thumbnail' || key === 'url') {
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const val = obj[key];
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if (typeof val === 'string') {
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const url = toAbsoluteUrl(val);
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if (isLikelyProductImage(url)) {
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results.add(url);
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}
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}
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if (Array.isArray(val)) {
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val.forEach((item: any) => {
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if (typeof item === 'string') {
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const url = toAbsoluteUrl(item);
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if (isLikelyProductImage(url)) {
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results.add(url);
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}
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}
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});
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}
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} else if (typeof obj[key] === 'object') {
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extractImages(obj[key], results);
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}
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}
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}
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}
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const jsonImages = new Set<string>();
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extractImages(jsonData, jsonImages);
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jsonImages.forEach(img => {
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if (!imageUrls.includes(img)) {
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imageUrls.push(img);
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}
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});
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} catch {
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// JSON parsing failed, continue
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}
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}
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// Priority 3: Look for data-image attributes (common in React/SPA)
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const dataImageRegex = /<[^>]+data-image=["']([^"'>]+)["']/gi;
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while ((match = dataImageRegex.exec(html)) !== null) {
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const url = toAbsoluteUrl(match[1]);
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if (isLikelyProductImage(url) && !imageUrls.includes(url)) {
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imageUrls.push(url);
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}
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}
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// Priority 4: srcset attributes (responsive images)
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const srcsetRegex = /<img[^>]+srcset=["']([^"'>]+)["']/gi;
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while ((match = srcsetRegex.exec(html)) !== null) {
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const srcsetValue = match[1];
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const srcsetUrls = srcsetValue.split(',').map((s) => {
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const parts = s.trim().split(/\s+/);
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return parts[0];
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});
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for (const srcsetUrl of srcsetUrls) {
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const url = toAbsoluteUrl(srcsetUrl);
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if (isLikelyProductImage(url) && !imageUrls.includes(url)) {
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imageUrls.push(url);
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}
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}
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}
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// Priority 5: data-src attributes (lazy loaded)
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const dataSrcRegex = /<img[^>]+data-src=["']([^"'>]+)["']/gi;
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while ((match = dataSrcRegex.exec(html)) !== null) {
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const url = toAbsoluteUrl(match[1]);
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if (isLikelyProductImage(url) && !imageUrls.includes(url)) {
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imageUrls.push(url);
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}
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}
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// Priority 6: Regular img src attributes
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const imgRegex = /<img[^>]+src=["']([^"'>]+)["']/gi;
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while ((match = imgRegex.exec(html)) !== null) {
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const url = toAbsoluteUrl(match[1]);
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if (isLikelyProductImage(url) && !imageUrls.includes(url)) {
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imageUrls.push(url);
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}
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}
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// Priority 7: Background images in style attributes (common in some e-commerce)
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const bgImageRegex = /background(-image)?:\s*url\(["']?([^"')]*)["']?/gi;
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while ((match = bgImageRegex.exec(html)) !== null) {
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const url = toAbsoluteUrl(match[1]);
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if (isLikelyProductImage(url) && !imageUrls.includes(url) && !url.startsWith('data:')) {
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imageUrls.push(url);
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}
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}
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// Final filtering: remove very long URLs and duplicates
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const finalImages = [...new Set(imageUrls)].filter(url => {
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return url.length < 2000 && isLikelyProductImage(url);
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});
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return json({ images: finalImages.slice(0, 30) });
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} catch (error) {
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return json({ error: 'Failed to scrape images' }, { status: 500 });
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}
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};
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