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) |
| Pay-as-you-go | Yes — prepaid credits from $20, no subscription | Only on $475+/mo plans, per-credit rate unpublished |
| 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 |
| Parsed Google SERP endpoint | Yes (/serp, 15 credits/search) |
Yes (25 credits per Google request) |
| Dedicated e-commerce endpoints (Amazon, Walmart) | — | 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. ScraperAPI does offer pay-as-you-go, but only on plans from $475/mo and without a published per-credit rate; WebScraping.AI's prepaid credits start at a $20 top-up with no subscription.
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.
/serp, parsed JSON)/data, e.g. YouTube, LinkedIn, Reddit)Plans from $29/mo (250k credits) · $99/mo (1M) · $249/mo (3M) · or pay-as-you-go from $20 (100k credits, no subscription, valid 12 months). 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:4.2.0
// 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 }
/serp returns them as JSON for 15 credits a search, versus 25 credits per Google request on ScraperAPI.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 offer pay-as-you-go pricing?
Yes — prepaid credits with no subscription, from a $20 minimum top-up ($0.0002 per credit, so $20 buys 100,000 credits). ScraperAPI's pay-as-you-go is gated behind plans from $475/mo and its per-credit rate isn't published. Our credits stay valid for 12 months and every new top-up extends the whole balance another 12 months; if you also have a monthly plan, pay-as-you-go credits are only consumed once the plan quota runs out.
Does WebScraping.AI have structured-data endpoints like ScraperAPI?
Two: /serp returns parsed Google search results as JSON (organic results, related searches, pagination) for a flat 15 credits per search, and /data returns structured JSON for pages on supported social sites (e.g. YouTube, TikTok, X, LinkedIn, Instagram, Reddit) for 15 credits per page (50 for Reddit). There are no Amazon or Walmart parsers; for those and every other site, /ai/fields 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. For Google, /serp returns parsed search results as JSON for 15 credits per search, versus 25 credits per Google request on ScraperAPI, and failed searches aren't charged. For Amazon and other e-commerce pages, use /html, /text, or /ai at the same flat per-request cost as any other site rather than ScraperAPI's 5-credit Amazon surcharge — though WebScraping.AI has no dedicated Amazon parser.
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.