Best E-commerce Scraping APIs — Amazon, Shopify, and More

E-commerce data drives pricing engines, competitor monitoring, dropshipping automation, and market research. But scraping product pages is harder than most URLs — dynamic pricing, bot detection, and JavaScript-heavy storefronts will break naive scrapers quickly.

This guide covers the best scraping APIs for e-commerce data in 2026, focusing on tools that handle Amazon, Shopify, and other major platforms reliably.

Key Takeaways

• SearchHive ScrapeForge offers the best balance of reliability and cost for multi-platform e-commerce scraping, with built-in anti-detection
• Apify has the largest library of pre-built e-commerce scrapers (Amazon, Shopify, Walmart, eBay) — best if you need site-specific extraction
• Bright Data and Oxylabs provide the most robust infrastructure for high-volume e-commerce scraping at enterprise scale
• Amazon is the hardest platform to scrape — most APIs charge a premium or use specialized endpoints for it
• For Shopify stores, most scraping APIs work well since Shopify sites share a common structure

1. SearchHive ScrapeForge

/blog/best-web-scraping-api-in-2026-complete-developer-comparison

SearchHive's ScrapeForge handles e-commerce extraction with structured output — product names, prices, availability, images, and ratings come pre-parsed from the API response. Anti-bot bypass and proxy rotation are included, which matters for e-commerce sites that actively block scrapers.

Pricing: Free tier (500 requests/month), Starter $29/month (10,000 requests), Pro $79/month (50,000 requests), Business $199/month (200,000 requests).

import requests

resp = requests.post(
    "https://api.searchhive.dev/v1/scrape",
    headers={"Authorization": "Bearer your_api_key"},
    json={
        "url": "https://www.amazon.com/dp/B0BSHF7WHW",
        "extract": {
            "product_name": "h1#productTitle",
            "price": ".a-price-whole",
            "rating": "span.a-icon-alt",
            "availability": "div#availability span",
            "image": "img#landingImage@src"
        }
    }
)

product = resp.json()
print(f"{product['product_name']}: ${product['price']}")
print(f"Rating: {product['rating']} | {product['availability']}")

ScrapeForge works across platforms — Amazon, Shopify, WooCommerce, and custom storefronts — using the same API. The extract field adapts to each site's structure, so you define what you want and ScrapeForge handles the CSS selector matching.

For Shopify stores specifically, the extraction is even simpler since Shopify uses consistent DOM patterns:

resp = requests.post(
    "https://api.searchhive.dev/v1/scrape",
    headers={"Authorization": "Bearer your_api_key"},
    json={
        "url": "https://mystore.myshopify.com/products/example",
        "extract": {
            "name": "h1.product-title",
            "price": ".price-item",
            "description": ".product-description",
            "variants": ".variant-input@value",
            "images": ".product__media img@src"
        }
    }
)

/compare/bright-data

2. Apify

Apify's strength for e-commerce is its Actor marketplace. Instead of building scrapers from scratch, you use pre-built extraction templates maintained by the community and Apify's team.

Pricing: Free tier ($5 compute/month), Starter $49/month, Pro $249/month, Business $699/month.

Key e-commerce Actors:

• Amazon Product Scraper — extracts full product data including variants, reviews, and Q&A
• Amazon Reviews Scraper — bulk review extraction with ratings, dates, and verified purchase status
• Shopify Store Scraper — crawls entire Shopify stores, products, and collections
• Walmart Scraper — product data and pricing from walmart.com
• eBay Scraper — listings, prices, seller info, and bidding data

from apify_client import ApifyClient

client = ApifyClient("your_token")
run = client.actor("aspireful/amazon-product-scraper").call(run_input={
    "productUrls": [
        "https://www.amazon.com/dp/B0BSHF7WHW",
        "https://www.amazon.com/dp/B0C9J2N5VQ"
    ],
    "maxItems": 100
})

items = client.dataset(run["defaultDatasetId"]).list_items().items
for item in items:
    print(f"{item.get('title', 'N/A')}: ${item.get('price', 'N/A')}")

Best for: teams that need ready-made scrapers for specific platforms without building extraction logic from scratch. The per-compute pricing can be expensive for Amazon specifically — Amazon scrapers use headless browsers and cost 2-5x more than simple HTTP scrapers.

3. Bright Data

Bright Data (formerly Luminati) is the largest proxy network in the world, and their Web Unlocker product combines proxy infrastructure with scraping capabilities.

Pricing: Pay-as-you-go from $4.50/GB (residential proxy bandwidth). Web Unlocker starts at custom pricing, typically $500+/month for production e-commerce use.

Bright Data's advantage is infrastructure scale. They have the proxy coverage to handle even the most aggressive anti-bot systems — Amazon, Nike, Ticketmaster, etc. Their Web Unlocker automatically retries failed requests with different proxies and fingerprints.

Best for: enterprise operations that need guaranteed access to heavily protected e-commerce sites. Not cost-effective for small-to-medium workloads.

4. Oxylabs

Oxylabs is Bright Data's closest competitor — another large proxy provider with a scraping API layer on top.

Pricing: Residential proxy from $3/GB. E-Commerce Scraper API with custom pricing.

Oxylabs offers dedicated e-commerce scraping endpoints for Amazon, Google Shopping, and other platforms. The structured output is good — product data comes pre-formatted with consistent schemas.

import requests

resp = requests.post(
    "https://realtime.oxylabs.io/v1/queries",
    auth=("username", "password"),
    json={
        "source": "amazon_product",
        "query": "B0BSHF7WHW",
        "domain": "com",
        "parse": True
    }
)

data = resp.json()["results"][0]["content"]
print(data["title"])
print(data["price"])

Best for: teams already using Oxylabs proxies that want a unified scraping solution. Pricing is opaque (contact sales), which is a negative for smaller teams.

5. ScraperAPI

ScraperAPI is a simple, reliable HTTP proxy API. It doesn't have e-commerce-specific features, but it handles proxy rotation, CAPTCHAs, and retries automatically.

Pricing: Hobby $49/month (5,000 requests), Business $399/month (250,000 requests), Enterprise $899/month (1M requests).

For e-commerce, ScraperAPI gets you the raw HTML and you parse it yourself. This gives you full control but requires more development work.

import requests

resp = requests.get(
    "http://api.scraperapi.com",
    params={
        "api_key": "your_key",
        "url": "https://www.amazon.com/dp/B0BSHF7WHW",
        "render": "true",
        "keep_headers": "true"
    }
)

html = resp.text
# Parse with BeautifulSoup, lxml, or your preferred library

Best for: developers who want a simple proxy-rotation API and prefer to handle their own parsing. Reliable and flat pricing, but no structured output.

6. ScrapingBee

Similar to ScraperAPI but with transparent credit-based pricing and better JavaScript rendering.

Pricing: Free tier (1,000 credits), Startup $49/month (100,000 credits), Business $99/month (300,000 credits).

For e-commerce, JavaScript rendering is essential (most modern storefronts load prices and availability via JS). ScrapingBee charges 5-25 credits for JS rendering, so your effective volume is lower than the headline numbers suggest.

Best for: developers who need precise control over rendering and want extract rules to handle basic parsing without a full parser.

7. ScraperDog

The budget option. Flat per-request pricing with JS rendering and proxy rotation included.

Pricing: Starter $24/month (25,000 requests), Advanced $99/month (200,000 requests), Business $249/month (750,000 requests).

No per-feature upcharges — every request gets JS rendering, proxy rotation, and anti-bot bypass regardless of plan. This simplicity is appealing for cost-conscious teams.

Best for: budget-conscious developers who need full-featured scraping. Less reliable at scale than ScraperAPI, but the price is hard to beat.

8. ScrapingAnt

A mid-tier option with decent anti-bot capabilities and simple pricing.

Pricing: Starter $19.99/month (100,000 requests), Advanced $59.99/month (500,000 requests).

Generous request volumes at low prices. Anti-bot features work well for mid-tier e-commerce sites (Shopify, WooCommerce) but may struggle with Amazon's protections.

E-commerce Platform Difficulty

Not all e-commerce platforms are equally hard to scrape:

Comparison Table

Recommendation

For most developers: SearchHive ScrapeForge handles multi-platform e-commerce scraping with structured output, anti-detection, and the most transparent pricing. The free tier lets you test against real product pages.

For Amazon-specific scraping: Apify's Amazon Product Scraper Actor is the most battle-tested solution. Pair it with SearchHive for other platforms.

For enterprise volume: Bright Data or Oxylabs — both have the proxy infrastructure to handle Amazon at scale.

For budget operations: ScraperDog or ScrapingAnt offer the lowest entry prices, but expect lower success rates on protected sites.

Get Started

Sign up for SearchHive's free tier — 500 requests per month, no credit card required. Full documentation and Python SDK at docs.searchhive.dev.