Flat, published per-request pricing — the same cost whether you scrape a blog or Google — plus AI extraction and predictable bills, from $29/mo.
2,000 free API credits · No credit card required
An honest, side-by-side comparison. Verify the numbers — this is a market where you should.
| WebScraping.AI | ScraperAPI | |
|---|---|---|
| 1M-credit plan | $99/mo (Plus) | $149/mo (Startup) |
| 3M-credit plan | $249/mo (Startup) | $299/mo (Business) |
| Standard request | 1 credit | 1 credit |
| Per-domain surcharges | None — flat by request type | Amazon 5, Google/Bing 25, LinkedIn 30 |
| AI extraction | Yes (/ai/fields, any site) |
Yes (structured endpoints, LangChain) |
| MCP server for AI agents | Yes | Yes |
| Dedicated e-commerce / SERP endpoints | — | Yes |
| Official SDKs | 7 (Python, JS, Ruby, PHP, Go, Java, C#) | Python, Node, PHP, Ruby, Java |
| Bills only successful requests | Yes | Yes |
Pricing and credit costs last checked July 2026. Sources: ScraperAPI pricing · WebScraping.AI pricing.
No tool is right for everyone. ScraperAPI is a capable product, and these are the areas where it genuinely shines — worth weighing before you switch.
The most common reasons teams evaluate a switch.
ScraperAPI's Startup plan is $149/mo for 1M credits; WebScraping.AI's Plus plan is $99/mo for 1M credits. At 3M it's $299 vs our $249.
On ScraperAPI a request to Google or Bing costs 25 credits, LinkedIn 30, and Amazon 5 — so your real bill depends on which sites you hit. WebScraping.AI charges the same by request type regardless of domain.
Between render, premium/ultra-premium proxies, and per-domain multipliers, estimating a job's cost takes effort. WebScraping.AI publishes one fixed cost per request type.
Every request type has a fixed, published credit cost — no surprises, and you only pay for successful requests.
Plans from $29/mo (250k credits) · $99/mo (1M) · $249/mo (3M). Failed requests are always free. See full pricing.
ScraperAPI's headline price is per credit, but the credits a request consumes depend on the target: a standard page is 1 credit, Amazon is 5, Google and Bing are 25, LinkedIn is 30 — before render or premium-proxy multipliers. Two jobs of the same size can cost very differently depending on which sites they touch.
WebScraping.AI prices by request type, not domain: 1 credit for a datacenter request, 5 with JS, 10–25 for residential, 50 for stealth, +5 for AI extraction — the same on any site. At the 1M-credit tier that's $99/mo vs ScraperAPI's $149/mo, with a cost you can predict before you run the job.
Both tools support agent workflows: ScraperAPI offers an MCP server plus LangChain and LlamaIndex integrations, and WebScraping.AI ships an MCP server and CLI alongside /ai/question and /ai/fields, which extract from any page via a natural-language description.
The difference is what those calls cost. WebScraping.AI adds a flat +5 credits for AI extraction on any site, while ScraperAPI layers per-domain and premium multipliers on top of its base rate — so the same workload is easier to budget on a flat model.
Point your requests at WebScraping.AI — here's the equivalent call in your language.
curl -G "https://api.webscraping.ai/ai/fields" \
--data-urlencode "api_key=YOUR_API_KEY" \
--data-urlencode "url=https://example-store.com/product/widget" \
--data-urlencode "fields[title]=The product title" \
--data-urlencode "fields[price]=The current price as a number" \
--data-urlencode "fields[in_stock]=Whether the product is in stock (true/false)"
# Response:
# { "title": "Widget", "price": 19.99, "in_stock": true }
# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client
client = Client(api_key="YOUR_API_KEY")
result = client.fields(
"https://example-store.com/product/widget",
fields={
"title": "The product title",
"price": "The current price as a number",
"in_stock": "Whether the product is in stock (true/false)",
},
)
print(result)
# Response:
# { "title": "Widget", "price": 19.99, "in_stock": true }
// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';
const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const result = await client.fields({
url: 'https://example-store.com/product/widget',
fields: {
title: 'The product title',
price: 'The current price as a number',
in_stock: 'Whether the product is in stock (true/false)',
},
});
console.log(result);
// Response:
// { "title": "Widget", "price": 19.99, "in_stock": true }
<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';
use WebScrapingAI\Client;
$client = new Client('YOUR_API_KEY');
$result = $client->fields('https://example-store.com/product/widget', [
'title' => 'The product title',
'price' => 'The current price as a number',
'in_stock' => 'Whether the product is in stock (true/false)',
]);
print_r($result);
// Response:
// { "title": "Widget", "price": 19.99, "in_stock": true }
# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'
client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
result = client.fields(
'https://example-store.com/product/widget',
fields: {
title: 'The product title',
price: 'The current price as a number',
in_stock: 'Whether the product is in stock (true/false)',
}
)
puts result.inspect
# Response:
# { "title": "Widget", "price": 19.99, "in_stock": true }
// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main
import (
"context"
"fmt"
webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)
func main() {
client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
result, _ := client.Fields(context.Background(), &webscrapingai.FieldsOptions{
URL: "https://example-store.com/product/widget",
Fields: map[string]string{
"title": "The product title",
"price": "The current price as a number",
"in_stock": "Whether the product is in stock (true/false)",
},
})
fmt.Println(result.Result)
}
// Response:
// { "title": "Widget", "price": 19.99, "in_stock": true }
// Maven: ai.webscraping:webscraping-ai:4.0.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.FieldsOptions;
import ai.webscraping.result.FieldsResult;
Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
FieldsResult result = client.fields(FieldsOptions.builder()
.url("https://example-store.com/product/widget")
.addField("title", "The product title")
.addField("price", "The current price as a number")
.addField("in_stock", "Whether the product is in stock (true/false)")
.build());
System.out.println(result.getResult());
// Response:
// { "title": "Widget", "price": 19.99, "in_stock": true }
// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;
var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var result = await client.FieldsAsync(new FieldsRequest {
Url = "https://example-store.com/product/widget",
Fields = new Dictionary<string, string> {
["title"] = "The product title",
["price"] = "The current price as a number",
["in_stock"] = "Whether the product is in stock (true/false)",
},
});
Console.WriteLine(result.Result);
// Response:
// { "title": "Widget", "price": 19.99, "in_stock": true }
Is WebScraping.AI a good ScraperAPI alternative?
Yes. It's a general-purpose scraping API with JavaScript rendering, rotating proxies, AI extraction, and an MCP server — but with flat per-request pricing (no per-domain surcharges), typically at a lower price than ScraperAPI.
How does WebScraping.AI pricing compare to ScraperAPI?
WebScraping.AI is $99/mo for 1M credits vs ScraperAPI's $149/mo, and $249 vs $299 at 3M. WebScraping.AI also charges the same per request type on any domain, while ScraperAPI surcharges Google/Bing (25 credits), LinkedIn (30), and Amazon (5).
Does WebScraping.AI have structured-data endpoints like ScraperAPI?
Instead of site-specific endpoints, WebScraping.AI offers /ai/fields, which extracts structured JSON from any page using a natural-language field description — so you're not limited to a fixed list of supported sites.
Can WebScraping.AI scrape Google or Amazon like ScraperAPI?
Yes, you can scrape search results and e-commerce pages via the /html, /text, or /ai endpoints — at the same flat per-request cost, rather than ScraperAPI's 25-credit (Google) or 5-credit (Amazon) surcharges.
Does WebScraping.AI support AI agents and MCP?
Yes — it ships an MCP server and CLI. ScraperAPI also offers an MCP server plus LangChain and LlamaIndex integrations, so both fit agent workflows; the difference is flat versus per-domain pricing.
Get started with 2,000 free API credits. No credit card required.