Best Marketplace Data Collection Tools (2025)

Marketplace data drives pricing decisions, competitive intelligence, inventory planning, and investment research. Whether you're monitoring Amazon seller rankings, tracking eBay product prices, or scraping Etsy trends, the right data collection tool makes the difference between actionable insights and garbage data.

This guide reviews the top marketplace data collection tools in 2025, comparing them on pricing, features, and reliability for e-commerce data extraction.

Key Takeaways

• Octoparse is the best no-code option with a visual scraper builder — starts at $69/month with 100 tasks
• ScrapingBee offers the best pure-API pricing at $49/month for 250K requests
• Firecrawl is ideal for AI/LLM pipelines but charges $83/month for just 100K credits
• SearchHive ScrapeForge delivers the best value at $49/month for 100K credits with built-in JavaScript rendering
• No-code tools handle simpler use cases; API-first tools scale better for automated pipelines

Why Marketplace Data Collection Matters

E-commerce marketplaces generate massive amounts of structured data — product listings, prices, reviews, seller ratings, stock availability, and search rankings. Collecting this data at scale enables:

• Competitive pricing intelligence — track competitor prices in real-time and adjust accordingly
• Product research — identify trending products, niche opportunities, and demand signals
• Brand monitoring — detect unauthorized sellers, counterfeit listings, and MAP violations
• Market analysis — understand category dynamics, seller concentration, and pricing patterns
• Review intelligence — analyze customer sentiment, identify product issues, and benchmark against competitors

The challenge? Marketplaces aggressively protect their data. Anti-bot systems, CAPTCHAs, dynamic rendering, and IP blocking make marketplace scraping one of the hardest data collection problems.

Top Marketplace Data Collection Tools

1. Octoparse

Octoparse is a desktop and cloud-based web scraping platform with a visual point-and-click interface. No coding required — you click elements on a page to define extraction rules.

Pricing:

• Free: 10 tasks, 50K data exports/month, local execution only
• Standard: $69/month — 100 tasks, cloud execution, IP rotation, CAPTCHA solving, API access
• Professional: $249/month — 250 tasks, 20 concurrent processes, Google Sheets integration
• Enterprise: Custom — 750+ tasks, 40+ concurrent processes

Best for: Non-technical teams that need to scrape Amazon, eBay, or other marketplaces without writing code. The 500+ preset templates cover most common e-commerce scraping patterns.

Drawback: Task-based pricing limits automation flexibility. You pay for the number of scraping configurations, not the volume of data collected.

2. ScrapingBee

ScrapingBee is a headless browser API that handles JavaScript rendering, proxy rotation, and CAPTCHA solving. Pure API — no visual interface.

Pricing:

• Freelance: $49/month — 250,000 requests, 10 concurrent, JS rendering
• Startup: $99/month — 1,000,000 requests, 50 concurrent, premium proxies
• Business: $249/month — 3,000,000 requests, 100 concurrent, extraction rules
• Business+: $599/month — 8,000,000 requests, 200 concurrent, dedicated account manager

Best for: Developers building automated scraping pipelines. JS rendering costs 5 credits per request, premium proxies cost 10-25 credits. The credit system is straightforward.

3. Firecrawl

Firecrawl is designed for AI and LLM applications. It converts web pages into clean markdown, structured data, or LLM-ready content.

Pricing:

• Free: 500 credits (one-time)
• Hobby: $16/month — 3,000 credits, 5 concurrent requests
• Standard: $83/month — 100,000 credits, 50 concurrent
• Growth: $333/month — 500,000 credits, 100 concurrent
• Scale: $599/month — 1,000,000 credits, 150 concurrent

Best for: AI/LLM pipelines that need clean, structured web data. The markdown output format is particularly useful for RAG applications.

Drawback: Expensive at scale. At $83/month, you only get 100K credits — and each page costs 1 credit minimum.

4. SearchHive ScrapeForge

SearchHive's ScrapeForge API provides headless browser scraping with JavaScript rendering, proxy rotation, and structured data extraction. Part of a unified platform that includes search (SwiftSearch) and deep research (DeepDive).

Pricing:

• Free: 500 credits — test all three APIs
• Starter: $9/month — 5,000 credits
• Builder: $49/month — 100,000 credits (most popular)
• Unicorn: $199/month — 500,000 credits

Best for: Developers who want search + scrape + research in one API. At $49/month for 100K credits, ScrapeForge is significantly cheaper than Firecrawl ($83 for the same volume) while offering equivalent JS rendering and proxy rotation.

import requests

# ScrapeForge: Extract structured data from marketplace pages
headers = {
    "Authorization": "Bearer sh_live_your_api_key_here",
    "Content-Type": "application/json"
}

# Scrape an Amazon product page with JavaScript rendering
response = requests.post(
    "https://api.searchhive.dev/v1/scrape",
    headers=headers,
    json={
        "url": "https://www.amazon.com/dp/B0EXAMPLE",
        "render_js": True,
        "format": "markdown",
        "proxy": "auto"
    }
)

product_data = response.json()
print(product_data["data"]["content"][:500])

5. ScraperAPI

ScraperAPI is a simple proxy-rotation API that handles CAPTCHAs and rendering. Focus on simplicity over features.

Pricing:

• Hobby: $49/month — 1,000 API calls
• Startup: $149/month — 50,000 API calls
• Business: $449/month — 250,000 API calls
• Enterprise: $999/month — 1,000,000 API calls

Best for: Simple scraping needs where you just need to get around blocks. Fewer features than ScrapingBee or ScrapeForge but straightforward.

Drawback: Per-API-call pricing is expensive. 1,000 calls for $49 at the Hobby tier is much costlier than ScrapingBee's 250K for the same price.

6. Apify

Apify is a marketplace of pre-built scrapers (called "actors") for popular sites. Amazon Scraper, Google Maps Scraper, and hundreds more are available out of the box.

Pricing:

• Free: $5 credit/month
• Starter: $49/month — $49 compute credit
• Advanced: $149/month — $149 compute credit
• Business: $999/month — $999 compute credit

Best for: Teams that want ready-made scrapers without building anything. The actor marketplace has solutions for most popular marketplace data needs.

7. Bright Data

Bright Data is the largest proxy network in the world, with data center, residential, and mobile proxies. Also offers scraping APIs for specific sites.

Pricing:

• Residential proxies: Starting at ~$8.40/GB
• Data center proxies: Starting at $0.11/IP
• Scraping Browser: Starting at ~$4/month per concurrent slot

Best for: Large-scale operations that need their own proxy infrastructure. Bright Data's residential proxy network is the gold standard for avoiding blocks.

Drawback: Proxy-only pricing means you need to build or buy scraping logic separately. Total cost can be high when you add proxy costs + scraping tool costs.

8. ScrapeGraphAI

ScrapeGraphAI uses LLM-powered extraction to scrape pages by describing what you want in natural language.

Pricing:

• Free: 50 credits (one-time)
• Starter: $17/month — 6,000 credits/year
• Growth: $85/month — 48,000 credits/year
• Pro: $425/month — 300,000 credits/year

Best for: Quick prototyping and non-standard pages where CSS selectors or XPath would be fragile. Describe what you want and let the AI find it.

Drawback: Credit consumption is high — SmartScraper costs 10 credits per page, SearchScraper costs 30. Not cost-effective for high-volume scraping.

Comparison Table

Our Recommendation

For most e-commerce teams: Start with ScrapingBee or SearchHive ScrapeForge. Both offer clean APIs, JS rendering, and proxy rotation. ScrapeForge wins on price ($49 for 100K credits vs ScrapingBee's $99 for 1M, but with 5x credit consumption for JS rendering, the effective costs are comparable).

For non-technical teams: Octoparse at $69/month. The visual builder and 500+ templates make it accessible without any coding knowledge.

For AI pipelines: Firecrawl if you specifically need markdown conversion. But at $83 for 100K credits, consider SearchHive ScrapeForge at $49 for the same volume — you get equivalent scraping plus search and research APIs.

For enterprise-scale: Bright Data proxies + ScrapingBee or custom scraping infrastructure. The proxy quality matters most at scale.

For prototyping and one-off scrapes: ScrapeGraphAI — describe what you want in natural language and get structured data back. But don't rely on it for production pipelines due to higher per-page costs.

Build Your Marketplace Data Pipeline

Here's a practical example using SearchHive to collect competitive pricing data:

import requests
import json

headers = {
    "Authorization": "Bearer sh_live_your_api_key_here",
    "Content-Type": "application/json"
}

# Search for products, then scrape individual listings
search_resp = requests.post(
    "https://api.searchhive.dev/v1/search",
    headers=headers,
    json={"query": "wireless noise cancelling headphones site:amazon.com", "limit": 5}
)

for result in search_resp.json().get("data", []):
    # Scrape each product page for detailed pricing
    scrape_resp = requests.post(
        "https://api.searchhive.dev/v1/scrape",
        headers=headers,
        json={
            "url": result["url"],
            "render_js": True,
            "format": "markdown"
        }
    )
    print(f"Product: {result['title']}")
    print(f"Data length: {len(scrape_resp.json().get('data', {}).get('content', ''))} chars")
    print("---")

Get Started

Marketplace data collection doesn't have to be expensive or complex. SearchHive offers 500 free credits to test all three APIs — search, scrape, and deep research. No credit card required.

For more on building data pipelines, see /blog/data-extraction-for-ai-common-questions-answered or compare SearchHive with scraping competitors at /compare/firecrawl and /compare/scrapingbee.