Browse AI is a solid no-code tool for putting website data in a spreadsheet. When scraping becomes part of your product or pipeline, WebScraping.AI replaces trained robots with a single API call: AI extraction, JS rendering, and rotating proxies included.
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 | Browse AI | |
|---|---|---|
| Product type | Developer HTTP API | No-code robot platform |
| Setup per site | One API call with a URL | Train a robot in the browser extension |
| When the site redesigns | AI extraction reads the rendered page — nothing to retrain | Recorded robots break and need retraining |
| AI extraction | Yes (/ai/question, /ai/fields) |
Recorded visual selectors |
| JS (Chromium) rendering | Yes (5 credits) | Yes (built into robots) |
| Residential & stealth proxies | Yes, selectable per request (10–50 credits) | Managed by the platform, not user-selectable |
| Billing unit | Per request; failed requests are free | Credits per 10 extracted rows; harder sites cost 2–10+ credits |
| Sites you can scrape | Unlimited | 2 / 5 / 10 websites depending on plan |
| Entry / top self-serve plans | $29/mo · $99/mo · $249/mo, self-serve | ~$19–48/mo entry; Premium from ~$500/mo, annual-only |
| Official SDKs | 7 (Python, JS, PHP, Ruby, Go, Java, C#) | REST API only (runs existing robots; robot creation is UI-only) |
| First-party MCP server | Yes | Not documented |
| No-code interface | — | Yes — its core strength |
| Built-in monitoring & change alerts | — (schedule via cron, n8n, or Zapier) | Yes, with notifications |
Pricing and credit costs last checked July 2026. Sources: Browse AI pricing · WebScraping.AI pricing.
No tool is right for everyone. Browse AI 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.
A robot is a recording of visual selectors, so a redesign silently breaks it and someone has to retrain it — a recurring, hidden maintenance cost. WebScraping.AI's AI extraction reads the rendered page on every request; there's nothing to retrain.
Browse AI bills credits per 10 extracted rows, and harder sites cost a multiple of that — users report it's hard to estimate what a job will cost. WebScraping.AI publishes a fixed credit price per request type, and failed requests are free.
Above the self-serve tiers, Browse AI moves to a ~$500+/mo annual-contract Premium plan, and reviewers ask for pay-as-you-go that doesn't exist. WebScraping.AI scales $29 → $99 → $249/mo, self-serve with no sales calls.
CAPTCHAs, anti-bot systems, and infinite-scroll pages are recurring failure themes in Browse AI reviews. WebScraping.AI routes hard targets through rotating residential (10–25 credits) or stealth (50 credits) proxies — and if a request still fails, it costs nothing.
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.
Browse AI's model — record a robot once, run it on a schedule — is exactly right for getting data into a spreadsheet without engineers. It starts to strain when scraping becomes part of a product: every new site needs a training session, every redesign needs a retraining, and even Browse AI's own REST API can only run robots that were built in the UI.
WebScraping.AI works the way the rest of your stack does: send a URL (plus a question or field list) over HTTPS, get HTML, text, or structured JSON back. New site? Change the URL. Redesign? The AI reads the new page. Your extraction logic lives in your codebase, versioned with everything else.
With /ai/fields you describe the fields you want in plain language ("price", "rating", "in stock?") and get JSON shaped to your app. With /ai/question you ask about the page directly. There are no per-site selectors to maintain — the same request works across different sites and survives layout changes.
Seven official SDKs (Python, JavaScript, PHP, Ruby, Go, Java, C#) and a first-party MCP server mean the API drops into scripts, backends, n8n workflows, and AI agents alike.
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.com/product" \
--data-urlencode "fields[title]=Product title" \
--data-urlencode "fields[price]=Current price with currency" \
--data-urlencode "fields[rating]=Average review rating" \
--data-urlencode "fields[in_stock]=Is the product in stock? true/false"
# Response:
# {
# "title": "Example Product",
# "price": "$99.99",
# "rating": "4.7",
# "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.com/product",
fields={
"title": "Product title",
"price": "Current price with currency",
"rating": "Average review rating",
"in_stock": "Is the product in stock? true/false",
},
)
print(result)
# Response:
# {
# "title": "Example Product",
# "price": "$99.99",
# "rating": "4.7",
# "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.com/product',
fields: {
title: 'Product title',
price: 'Current price with currency',
rating: 'Average review rating',
in_stock: 'Is the product in stock? true/false',
},
});
console.log(result);
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "rating": "4.7",
// "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 = $client->fields('https://example.com/product', [
'title' => 'Product title',
'price' => 'Current price with currency',
'rating' => 'Average review rating',
'in_stock' => 'Is the product in stock? true/false',
]);
print_r($result);
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "rating": "4.7",
// "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.com/product',
fields: {
title: 'Product title',
price: 'Current price with currency',
rating: 'Average review rating',
in_stock: 'Is the product in stock? true/false',
}
)
puts result.inspect
# Response:
# {
# "title": "Example Product",
# "price": "$99.99",
# "rating": "4.7",
# "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.com/product",
Fields: map[string]string{
"title": "Product title",
"price": "Current price with currency",
"rating": "Average review rating",
"in_stock": "Is the product in stock? true/false",
},
})
fmt.Println(result.Result)
}
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "rating": "4.7",
// "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.com/product")
.addField("title", "Product title")
.addField("price", "Current price with currency")
.addField("rating", "Average review rating")
.addField("in_stock", "Is the product in stock? true/false")
.build());
System.out.println(result.getResult());
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "rating": "4.7",
// "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.com/product",
Fields = new Dictionary<string, string> {
["title"] = "Product title",
["price"] = "Current price with currency",
["rating"] = "Average review rating",
["in_stock"] = "Is the product in stock? true/false",
},
});
Console.WriteLine(result.Result);
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "rating": "4.7",
// "in_stock": "true"
// }
Is WebScraping.AI a good Browse AI alternative?
It is if you write code (or have developers). Browse AI is built for no-code users who train robots by clicking; WebScraping.AI replaces that with an HTTP API — send a URL and get HTML, text, or AI-extracted JSON back. If you need click-to-scrape with zero code, Browse AI remains the better fit.
Do I need to train robots or maintain selectors with WebScraping.AI?
No. The /ai/fields and /ai/question endpoints read the rendered page with an LLM on every request, so there are no recorded robots or per-site selectors to break when a site changes layout. CSS-selector endpoints are also available when you want exact control.
Does WebScraping.AI have a no-code interface like Browse AI?
No — it's a developer API with 7 SDKs, an MCP server, and integrations for n8n, Zapier, Make, and Pipedream. Those integrations let low-code teams use it inside automation tools, but building robots by pointing and clicking is Browse AI's territory.
How does pricing compare to Browse AI?
WebScraping.AI plans are $29/mo (250k credits), $99/mo (1M), and $249/mo (3M), fully self-serve, with a published per-request credit table and free failed requests. Browse AI bills credits per 10 extracted rows (harder sites cost more per run), caps how many websites each plan can scrape, and its Premium tier starts around $500/mo on an annual contract.
Can WebScraping.AI monitor pages for changes like Browse AI?
Not built-in — it's a request/response API. Most teams schedule requests with cron, n8n, Zapier, or Make and diff the results, which takes minutes to set up. If you want turnkey monitoring with alerts and no code at all, that's one of Browse AI's genuine strengths.
Get started with 2,000 free API credits. No credit card required.