ZYTE ALTERNATIVE

A Zyte alternative with pricing you can predict

Zyte API prices each request by a per-site difficulty tier, so costs are hard to forecast. WebScraping.AI publishes one fixed credit cost per request type — plus AI extraction, an MCP server, and 7 official SDKs, from $29/mo.

2,000 free API credits · No credit card required

WebScraping.AI vs Zyte at a glance

An honest, side-by-side comparison. Verify the numbers — this is a market where you should.

WebScraping.AI Zyte
Pricing model Fixed, published credits per request Per-request cost varies by 5 difficulty tiers
Cost predictability Known before you run Tier (and cost) often unknown until you scrape
Browser-render cost 5 credits (flat) $1.01–$16.08 / 1k, by tier (standard rates)
AI extraction Yes (/ai/question, /ai/fields) Yes (automatic extraction)
First-party MCP server Yes No (build-your-own tutorial only)
Bills only successful requests Yes Yes
Open-source framework Yes (Scrapy)

Pricing and credit costs last checked July 2026. Sources: Zyte pricing · WebScraping.AI pricing.

What Zyte does well

No tool is right for everyone. Zyte is a capable product, and these are the areas where it genuinely shines — worth weighing before you switch.

Maintainers of Scrapy, the industry-standard open-source Python crawling framework — deep credibility and tight Zyte API integration.
Mature automatic AI extraction — product, article, and job-posting types returned as typed data with no selectors.
A long track record (formerly Scrapinghub) and managed data-delivery services with SLAs.
Dynamic ML-driven ban avoidance that auto-selects a strategy per site.

Why developers look for a Zyte alternative

The most common reasons teams evaluate a switch.

You don't know the price until you scrape

Zyte classifies each site into difficulty tiers, and browser-rendered requests span $1.01–$16.08 per 1,000 depending on tier. WebScraping.AI publishes one fixed cost per request type, known before you run a job.

Bills can jump when a site's tier changes

Reviewers report sudden cost increases when a target moves up a difficulty tier. WebScraping.AI's per-request cost is fixed and published, so it doesn't change under you.

Complex to reason about

Separate HTTP and browser rates, five tiers each, and commitment discounts make budgeting hard. WebScraping.AI has one table: 1 / 5 / 10–25 / 50 credits, +5 for AI.

No first-party MCP server

Zyte publishes a build-your-own MCP tutorial rather than a hosted server. WebScraping.AI ships an MCP server and CLI so agents can scrape out of the box.

Transparent, published pricing

Every request type has a fixed, published credit cost — no surprises, and you only pay for successful requests.

Request type
No JS
+ JS render
Datacenter proxies
1 credit
5 credits
Residential proxies
10 credits
25 credits
Stealth proxies
50 credits
50 credits
AI extraction add-on
+5 credits

Plans from $29/mo (250k credits) · $99/mo (1M) · $249/mo (3M). Failed requests are always free. See full pricing.

Fixed pricing vs difficulty tiers

Zyte API's cost per request depends on which of five anti-ban tiers a site falls into, plus whether you render in a browser — and you often don't know the tier until you've scraped the page. That flexibility is powerful, but it makes forecasting hard.

WebScraping.AI publishes one fixed table: 1 credit for a datacenter request, 5 with JS, 10–25 for residential, 50 for stealth, +5 for AI extraction. The cost is the same on any site, so you can estimate a month's bill from your request count.

AI extraction, plus an MCP server and 7 SDKs

Zyte's automatic extraction and the Scrapy ecosystem are genuine strengths — if you're building on Scrapy, Zyte is a natural home.

WebScraping.AI adds /ai/fields and /ai/question for structured data and plain-English answers on any page, a first-party MCP server (Zyte offers only a DIY tutorial), and 7 official SDKs across languages.

Switching is one API call

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 }

Switch to WebScraping.AI if…

You want predictable, published pricing instead of per-tier costs you discover after scraping.
You want a single, simple pricing table rather than HTTP-vs-browser rates across five tiers.
You want a first-party MCP server and 7 official SDKs out of the box.
You want AI extraction on any page without wiring up a framework.

Stick with Zyte if…

You're building on Scrapy and want the tightest possible integration.
You want automatic typed extraction (product/article/job) with no selectors.
You need managed, done-for-you data delivery with SLAs.
You value the Scrapinghub/Zyte track record and its developer ecosystem.

Frequently asked questions

Is WebScraping.AI a good Zyte alternative?

Yes, if you want predictable published pricing and a simple API rather than Zyte's per-tier request costs. Zyte is the better fit if you're built on Scrapy or need its automatic typed extraction and managed data services.

How is WebScraping.AI's pricing different from Zyte's?

WebScraping.AI charges a fixed, published credit cost per request type, known before you run. Zyte prices each request by one of five per-site difficulty tiers, with browser-rendered requests ranging from about $1 to $16 per 1,000 — so the cost of a job often isn't clear until you've scraped it.

Does WebScraping.AI have automatic extraction like Zyte?

WebScraping.AI's /ai/fields extracts structured data from any page using a natural-language field description, and /ai/question answers questions about a page. Zyte's automatic extraction returns pre-defined typed schemas (product, article, job) without a description, which is a strong fit when your pages match those types.

Does WebScraping.AI have an MCP server?

Yes — WebScraping.AI ships a first-party MCP server and CLI. Zyte currently offers a tutorial for building your own MCP server rather than a hosted product.

Does WebScraping.AI charge for failed requests?

No — failed requests are free on WebScraping.AI. Zyte also bills only successful requests, so on that point the two are the same.

Compare other alternatives

Try WebScraping.AI as your Zyte alternative

Get started with 2,000 free API credits. No credit card required.

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