Scrapingdog is a low-cost scraping API. WebScraping.AI matches the credit model and lower $29 entry, and adds AI Q&A and field extraction, stealth proxies, an MCP server, and 7 official SDKs.
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 | Scrapingdog | |
|---|---|---|
| Entry plan | $29/mo (250k credits) | $40/mo (Lite, 200k credits) |
| Credit multipliers | 1 / 5 / 10 / 25 | 1 / 5 / 10 / 25 (same model) |
| AI extraction | Yes (/ai/question, /ai/fields, any site) |
Yes (AI Parser, 10 credits) |
| Stealth proxies (hardest targets) | Yes (50 credits) | Premium/residential (10 credits) |
| Official SDKs | 7 (Python, JS, Ruby, PHP, Go, Java, C#) | Python (others via examples) |
| MCP server + CLI | Yes | Not documented |
| Dedicated LinkedIn / Google endpoints | — | Yes |
| Bills only successful requests | Yes | Yes |
Pricing and credit costs last checked July 2026. Sources: Scrapingdog pricing · WebScraping.AI pricing.
No tool is right for everyone. Scrapingdog 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.
Independent reviewers report that success on the hardest, most-protected sites can be inconsistent. WebScraping.AI's stealth proxies target those sites at a published 50-credit cost.
Scrapingdog ships a Python SDK. WebScraping.AI maintains 7 official SDKs (Python, JS/TS, Ruby, PHP, Go, Java, C#), plus an MCP server, CLI, and n8n node.
Scrapingdog offers an AI Parser. WebScraping.AI adds /ai/question for plain-English answers and /ai/fields for structured extraction on any page, plus a first-party MCP server.
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.
Scrapingdog competes hard on price, and it's genuinely inexpensive — at higher volume its plans are very close to WebScraping.AI's. Both use the same credit multipliers (1 / 5 / 10 / 25) and bill only for successful requests.
WebScraping.AI matches that model with a lower $29 entry (250k credits vs Scrapingdog's $40 for 200k) and adds more on top: AI Q&A and field extraction on any page, explicit stealth proxies, an MCP server, and 7 official SDKs.
On the hardest, most-defended targets, success rate is what matters. WebScraping.AI offers an explicit stealth proxy tier (50 credits) built for sites behind Cloudflare and DataDome.
That said, Scrapingdog's dedicated LinkedIn and Google endpoints are a genuine strength for those specific sites — if that's your workload, they're worth weighing.
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 Scrapingdog alternative?
Yes. It uses the same low-cost credit model and success-only billing, with a lower $29 entry, and adds AI Q&A and field extraction on any page, stealth proxies, an MCP server, and 7 official SDKs.
How does WebScraping.AI pricing compare to Scrapingdog?
Both use the same multipliers (1 / 5 / 10 / 25). WebScraping.AI's entry plan is $29/mo for 250k credits versus Scrapingdog's $40/mo for 200k. At higher volume Scrapingdog's plans are very competitive, so compare at the tier you'll actually use.
Does WebScraping.AI have dedicated endpoints for LinkedIn or Google?
No — instead of site-specific endpoints, WebScraping.AI uses /ai/fields to extract structured data from any page via a natural-language description, and /html, /text, or /ai to scrape search and profile pages. If you need pre-parsed LinkedIn or Google JSON specifically, Scrapingdog's dedicated endpoints are purpose-built.
Is WebScraping.AI more reliable on protected sites?
WebScraping.AI offers an explicit stealth proxy tier (50 credits) for sites behind Cloudflare and DataDome. Independent reviewers note that success on the hardest anti-bot sites can be inconsistent across providers, and results vary by target and test date — so benchmark against your own targets.
How many SDKs does WebScraping.AI offer?
Seven official SDKs (Python, JS/TS, Ruby, PHP, Go, Java, C#), plus an MCP server, CLI, and n8n node. Scrapingdog ships a Python SDK with code examples for other languages.
Get started with 2,000 free API credits. No credit card required.