ParseHub is a no-code desktop scraper you build projects in. WebScraping.AI is a developer API: send a URL and get HTML, text, or AI-extracted fields back — no app, no project setup, with proxies and JS rendering in every call.
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 | ParseHub | |
|---|---|---|
| Model | HTTP API (call from your code) | No-code desktop app + cloud runs |
| Setup per site | One API request | Build a visual project |
| Entry price | $29/mo (250k credits) | $189/mo (Standard) |
| Speed | Per-request API latency | Browser-simulation runs (slower) |
| AI extraction | Yes (/ai/fields, /ai/question) |
— (no AI extraction) |
| MCP server for AI agents | Yes | — |
| Proxies & JS rendering | Built into each request | JS rendering; IP rotation on paid plans |
| Developer SDKs | 7 languages | REST API (paid plans) |
Pricing and credit costs last checked July 2026. Sources: ParseHub pricing · WebScraping.AI pricing.
No tool is right for everyone. ParseHub 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.
With ParseHub you install an app and build and run visual projects. WebScraping.AI is one HTTP request from your code, integrated straight into your pipeline.
ParseHub has no AI question-answering or field extraction. WebScraping.AI's /ai/fields and /ai/question pull structured data or plain-English answers from any page.
Reviewers cite slow run speeds, especially on lower tiers, because ParseHub drives a full browser per project. An API call returns per request.
ParseHub's Standard plan is $189/mo. WebScraping.AI starts at $29/mo.
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.
ParseHub's model — install the app, build a project by clicking, schedule runs, download data — suits non-developers doing occasional structured crawls. For engineers, a desktop project builder is the wrong shape and slow to iterate on.
WebScraping.AI is a stateless HTTP API with 7 official SDKs. Proxies, JS rendering, and AI extraction happen in a single request, so scraping drops straight into your code.
ParseHub extracts what you click on; it has no AI layer. WebScraping.AI adds /ai/fields to pull structured data from any page via a natural-language description, and /ai/question to ask a plain-English question and get an answer.
It also ships an MCP server and CLI, so AI agents can scrape the live web directly — something ParseHub doesn't offer.
Point your requests at WebScraping.AI — here's the equivalent call in your language.
curl -G "https://api.webscraping.ai/text" \
--data-urlencode "api_key=YOUR_API_KEY" \
--data-urlencode "url=https://example.com/article" \
--data-urlencode "text_format=plain"
# Response: clean page text, ready to feed to an LLM.
# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client
client = Client(api_key="YOUR_API_KEY")
text = client.text("https://example.com/article", text_format="plain")
print(text)
# Response: clean page text, ready to feed to an LLM.
// 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 text = await client.text({
url: 'https://example.com/article',
text_format: 'plain',
});
console.log(text);
// Response: clean page text, ready to feed to an LLM.
<?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');
$text = $client->text('https://example.com/article', textFormat: 'plain');
echo is_string($text) ? $text : print_r($text, true);
// Response: clean page text, ready to feed to an LLM.
# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'
client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
text = client.text('https://example.com/article', text_format: 'plain')
puts text.inspect
# Response: clean page text, ready to feed to an LLM.
// 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"})
text, _ := client.Text(context.Background(), &webscrapingai.TextOptions{
URL: "https://example.com/article",
TextFormat: "plain",
})
fmt.Println(text)
}
// Response: clean page text, ready to feed to an LLM.
// 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.TextOptions;
Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
String text = client.text(TextOptions.builder()
.url("https://example.com/article")
.textFormat("plain")
.build());
System.out.println(text);
// Response: clean page text, ready to feed to an LLM.
// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;
var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var text = await client.TextAsync(new TextRequest {
Url = "https://example.com/article",
TextFormat = "plain",
});
Console.WriteLine(text);
// Response: clean page text, ready to feed to an LLM.
Is WebScraping.AI a good ParseHub alternative?
It is if you're a developer. WebScraping.AI is a fast HTTP API with proxies, JS rendering, and AI extraction — no desktop app or visual projects to build. ParseHub remains an option for non-developers who want point-and-click scraping.
Does WebScraping.AI have AI extraction that ParseHub lacks?
Yes. /ai/fields extracts structured data from any page using a natural-language description, and /ai/question answers questions about a page. ParseHub has no AI extraction — you select elements manually.
How does pricing compare to ParseHub?
WebScraping.AI starts at $29/mo for 250k credits, priced per request. ParseHub's Standard plan is $189/mo; its free tier is limited to 200 pages per run with public projects and no API access.
Is WebScraping.AI faster than ParseHub?
For most jobs, yes — WebScraping.AI returns per request, while ParseHub drives a full browser per project and reviewers frequently cite slow run speeds, especially on lower tiers.
Does WebScraping.AI have a developer API and SDKs?
Yes — an HTTP API with 7 official SDKs (Python, JS/TS, Ruby, PHP, Go, Java, C#), plus an MCP server, CLI, and n8n node. ParseHub offers a REST API on paid plans only.
Get started with 2,000 free API credits. No credit card required.