Product API vs SerpAPI, ScrapingDog, Bright Data & Algolia: An Honest Comparison

Why this comparison?

If you're building a product search, price-comparison, shopping assistant, or any feature that needs structured product data, you'll quickly hit the same fork in the road: scrape it yourself, use a SERP API, or use a structured AI product API.

Each option solves a different version of the problem. This article compares the four families of tools developers most commonly evaluate against Product API, and shows where each one wins and loses.

The four contenders:

• Product API — AI-powered structured product search with JSON Schema output
• SerpAPI — Google Shopping / SERP scraping API
• ScrapingDog — General-purpose scraping API with shopping endpoints
• Bright Data / Oxylabs — Enterprise scraping infrastructure
• Algolia — Hosted search engine (different category, but often considered)

At a glance

1. Product API vs SerpAPI

SerpAPI is excellent at one thing: returning the exact JSON shape of a Google search results page (organic, shopping, news, images, etc.). If you literally need "what does the Google Shopping page look like for this query", SerpAPI is the right tool.

Where SerpAPI is strong

• Mature, stable, well-documented
• Fast — often under 2 seconds
• Many engines beyond Google (Bing, Yandex, Walmart, Amazon, eBay)
• Predictable, fixed schema per engine

Where Product API is different

• You define the output schema. Want { name, price, screen_size_inches, refresh_rate_hz } for monitors? Pass that schema and you get exactly that. SerpAPI returns Google's shape, and you have to post-process.
• Query understanding. "laptop under 800€ with at least 16GB RAM and good battery life" returns ranked, structured results. SerpAPI returns whatever Google decided to show, regardless of intent.
• Works for any product category — not just what Google Shopping indexes.
• One API call replaces: SERP fetch + product page fetches + extraction + ranking.

Pick SerpAPI when: you specifically need Google Shopping / SERP data and own the downstream parsing. Pick Product API when: you need structured products by intent, with fields you choose.

2. Product API vs ScrapingDog

ScrapingDog is a general-purpose scraping proxy with some specialized endpoints (Google, Amazon, LinkedIn). It's an infrastructure tool — it handles proxies, JS rendering, CAPTCHAs.

Where ScrapingDog is strong

• Cheaper per request than enterprise scrapers
• Flexible — point it at any URL
• Good for one-off scrapes or custom crawlers

Where Product API is different

• ScrapingDog gives you HTML or fixed JSON. You still write extractors, ranking logic, deduplication, and the "which products actually match this query" step.
• Product API gives you the finished answer: ranked, structured, schema-conformant products.
• ScrapingDog scales the fetch. Product API scales the understanding.

Pick ScrapingDog when: you have a specific list of URLs or a known retailer to scrape and you've built your own product-extraction stack. Pick Product API when: you don't want to maintain extractors or write ranking logic.

3. Product API vs Bright Data / Oxylabs

These are the enterprise-tier scraping platforms. They sell residential proxies, datacenter proxies, browser farms, and "data collectors" that wrap all of it.

Where Bright Data / Oxylabs are strong

• Massive scale (millions of requests / day)
• Geographic targeting at IP level
• Compliance-aware enterprise contracts
• Pre-built scrapers for major retailers

Where Product API is different

• Time to value. Bright Data takes days of setup, contract negotiation, and integration. Product API takes a curl command.
• Cost. Enterprise scrapers start at hundreds of euros/month minimum. Product API is pay-per-use, free to start.
• Output. They return raw or semi-structured page data; you still need to interpret it. Product API returns the answer.

Pick Bright Data / Oxylabs when: you operate at massive scale, need geographic IP control, and have an in-house data team. Pick Product API when: you're a developer or small team that wants to ship a feature this week.

4. Product API vs Algolia

This is a frequent confusion, but they solve opposite problems.

• Algolia: indexes your catalog. You provide the products. It makes them searchable, fast.
• Product API: searches the web's product catalog. You provide a query. It returns structured products it found.

You'd use them together, not instead of each other:

• Have your own catalog → Algolia
• Need to search products you don't own → Product API
• Want both → Algolia for your data, Product API to enrich or fill gaps

When not to use Product API

We're not the right tool for every job. Be honest with yourself:

• You already have the data. If you own the catalog, use a search engine (Algolia, Meilisearch, Typesense, Elastic).
• You need a specific retailer's exact prices in real time. Use that retailer's official API (Amazon Product Advertising API, eBay API) or a direct scraper.
• You need millions of requests/day. Talk to enterprise scrapers — our infrastructure is sized for shipping features, not bulk crawling.
• You need pixel-perfect SERP data. SerpAPI is purpose-built for that.

Where Product API is the obvious choice

• Building a shopping assistant or chat product that needs to recommend real items
• Adding a "find similar products" feature without a catalog
• Generating product comparison content at scale
• Powering AI agents that need to ground answers in real product data
• Replacing a homegrown stack of: SERP scraper + product page scraper + extractor + ranker

You get one HTTP call, one JSON Schema, and structured results.

Try it

curl "https://productapi.dev/api?search=wireless+noise+cancelling+headphones+under+200"

Get an API key — new accounts get 20 free credits, no card required.

TL;DR

• Need Google's exact SERP/Shopping data? → SerpAPI
• Need raw scraping infrastructure? → ScrapingDog or Bright Data
• Already own the catalog? → Algolia
• Need structured, AI-ranked product results from a natural query, with your own JSON Schema? → Product API