---
title: "ScrapFly Alternative with Simpler, Cheaper Credits"
description: "A ScrapFly alternative with a flatter credit model: residential proxies at 10 credits instead of 25, AI extraction, 7 SDKs, free failed requests. From $29/mo."
url: https://webscraping.ai/scrapfly-alternative
markdown_index: https://webscraping.ai/llms.txt
---
SCRAPFLY ALTERNATIVE

# The ScrapFly alternative with a simpler credit model

ScrapFly earns its reputation on anti-bot bypass and excellent docs. WebScraping.AI offers the same core job — rendered pages through datacenter, residential, or stealth proxies plus AI extraction — with flatter, cheaper credit math and 7 official SDKs.

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View Documentation](https://webscraping.ai/docs)

2,000 free API credits · No credit card required

## WebScraping.AI vs ScrapFly at a glance

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

| | WebScraping.AI | ScrapFly |
| --- | --- | --- |
| Entry plan | **$29/mo · 250,000 credits** | $30/mo · 200,000 credits (Discovery) |
| Pay-as-you-go | **Yes — prepaid from $20, no subscription** | No — monthly subscription required |
| Plain request (datacenter) | 1 credit | 1 credit |
| JS (Chromium) rendering | 5 credits | +5 credits |
| Residential proxies | **10 credits (25 with JS)** | 25 credits (30 with JS) |
| Stealth / anti-bot tier | 50 credits, fixed | ASP: dynamic credit cost per request |
| Billing on failures | **Free — always, no threshold** | Free under "Scrape Failed Protection" (reverts to billed if \>30% of traffic fails in an hour) |
| Natural-language Q&A (`/ai/question`) | Yes | — (extraction via prompt/schema) |
| AI field extraction | Yes (`/ai/fields`) | Yes (Extraction API, billed as add-on) |
| LLM-ready text | Yes (`/text`) | Yes (markdown format) |
| Official SDKs | **7** (Python, JS, PHP, Ruby, Go, Java, C#) | Python & TypeScript |
| First-party MCP server | Yes | Yes |
| Screenshot API | — | Yes |

Pricing and credit costs last checked July 2026. Sources: [ScrapFly pricing](https://scrapfly.io/pricing) · [WebScraping.AI pricing](https://webscraping.ai/#pricing).

## What ScrapFly does well

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

**Anti-Scraping Protection (ASP) bypass** — ScrapFly's flagship feature and a genuine benchmark for the hardest anti-bot targets.

**Excellent documentation and tooling** — docs, a web debugger/playground, and monitoring dashboards developers consistently praise.

**Broad product surface** — screenshot API, extraction API with LLM prompts and schemas, and a first-party MCP server.

**Serious observability** — per-request logs, webhooks, and throttling controls built into the platform.

## Why developers look for a ScrapFly alternative

The most common reasons teams evaluate a switch.

#### The $30 plan doesn't stay $30

Residential proxies cost 25 credits and JS adds 5 more on ScrapFly, so a protected, JS-rendered scrape burns 30 credits — the 200k-credit Discovery plan collapses to ~6,600 such requests, and users report bills quietly tripling. WebScraping.AI's same configuration costs **25 credits on a 250k-credit $29 plan** , and residential without JS is 10 credits, not 25.

#### ASP cost is dynamic

ScrapFly's anti-bot bypass consumes a variable number of credits depending on what the target requires, which makes hard-site budgets unpredictable. WebScraping.AI's stealth tier is a **flat 50 credits per request** — expensive targets are at least predictably expensive.

#### Failed-request protection has fine print

ScrapFly's Scrape Failed Protection stops applying once more than 30% of your traffic fails within an hour — exactly the scenario you're in when a target starts blocking you. WebScraping.AI simply **never bills a failed request** , with no fairness threshold.

#### No pay-as-you-go relief at entry

Every ScrapFly plan is a monthly subscription — exhaust Discovery's 200k credits and you're done for the month unless you upgrade tiers. WebScraping.AI sells **prepaid pay-as-you-go top-ups from $20 with no subscription at all** , and on a plan they act as overflow, spent only once the monthly quota runs out. Plans are self-serve and adjustable at any time, and more of your credits survive contact with real-world targets thanks to the flatter multipliers.

## 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

Google SERP ([`/serp`](https://webscraping.ai/google-serp-api), parsed JSON)

15 credits per search

Structured site data ([`/data`](https://webscraping.ai/docs#data), e.g. YouTube, LinkedIn, Reddit)

15 credits per page (50 for Reddit), incl. empty parses

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](https://webscraping.ai/#pricing).

### Flatter credit math for the requests you actually make

Both products use credit multipliers — that's the market standard. The difference is where the multipliers sit. On ScrapFly, the moment a site needs residential IPs you're at 25 credits, and 30 with rendering. On WebScraping.AI, residential is 10 credits (25 with JS), and the whole table is published: 1 / 5 / 10 / 25 / 50, +5 for AI extraction.

Concretely, 100k JS-rendered residential requests cost 3M credits on ScrapFly's model (30 each) versus 2.5M on ours (25 each) — and each plan dollar buys more credits to begin with (250k at $29 vs 200k at $30). Every request that fails along the way costs you nothing, unconditionally.

### AI answers, not just extractions

ScrapFly's Extraction API is capable — prompts, schemas, and auto-extract models. WebScraping.AI adds the endpoint developers reach for first when prototyping: `/ai/question`. Ask "what's the price?" or "is this in stock?" about any URL and get the answer back as a string — no schema required. When you're ready for structure, `/ai/fields` returns typed JSON for the fields you name.

Both ship first-party MCP servers, so the choice isn't about AI-agent readiness — it's about how much credit math and schema ceremony sits between you and the data.

## Switching is one API call

Point your requests at WebScraping.AI — here's the equivalent call in your language.

**cURL**

```bash
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[availability]=In stock or out of stock"
# Response:
# {
# "title": "Example Product",
# "price": "$99.99",
# "availability": "in stock"
# }
```

**Python**

```python
# 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",
        "availability": "In stock or out of stock",
    },
)
print(result)
# Response:
# {
# "title": "Example Product",
# "price": "$99.99",
# "availability": "in stock"
# }
```

**JavaScript**

```javascript
// 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',
    availability: 'In stock or out of stock',
  },
});
console.log(result);
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "availability": "in stock"
// }
```

**PHP**

```php
<?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 = $client->fields('https://example.com/product', [
    'title' => 'Product title',
    'price' => 'Current price with currency',
    'availability' => 'In stock or out of stock',
]);
print_r($result);
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "availability": "in stock"
// }
```

**Ruby**

```ruby
# 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',
    availability: 'In stock or out of stock',
  }
)
puts result.inspect
# Response:
# {
# "title": "Example Product",
# "price": "$99.99",
# "availability": "in stock"
# }
```

**Go**

```go
// 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",
            "availability": "In stock or out of stock",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "availability": "in stock"
// }
```

**Java**

```java
// 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.com/product")
    .addField("title", "Product title")
    .addField("price", "Current price with currency")
    .addField("availability", "In stock or out of stock")
    .build());
System.out.println(result.getResult());
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "availability": "in stock"
// }
```

**C#**

```csharp
// 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",
        ["availability"] = "In stock or out of stock",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
// "title": "Example Product",
// "price": "$99.99",
// "availability": "in stock"
// }
```

### Switch to WebScraping.AI if…

Your workload leans on **residential proxies** — 10 credits here vs 25 there adds up fast.

You want **fixed, published costs per request type** , including a flat stealth tier instead of dynamic ASP billing.

You want **failed requests free with no fairness threshold** , especially on targets that block in bursts.

Your team works across **many languages** — 7 official SDKs vs Python and TypeScript.

### Stick with ScrapFly if…

You're fighting the **very hardest anti-bot targets** and want ScrapFly's ASP plus its debugging tooling around it.

You need a **screenshot API** or ScrapFly's webhook/throttling infrastructure.

You're invested in **ScrapFly's monitoring dashboards** and per-request observability.

## Frequently asked questions

Is WebScraping.AI a good ScrapFly alternative?

For most scraping workloads, yes: the same datacenter/residential/stealth proxy tiers and JS rendering with flatter credit costs (residential at 10 credits vs 25), unconditionally free failed requests, AI question answering and field extraction, and 7 official SDKs. ScrapFly keeps the edge on its specialized ASP anti-bot bypass and screenshot tooling.

How do the credit models compare?

Both use multipliers. WebScraping.AI: 1 credit plain, 5 with JS, 10 residential (25 with JS), 50 stealth, +5 for AI — all fixed and published. ScrapFly: 1 credit plain, +5 for JS, 25 residential, and a dynamic credit cost when ASP engages. Entry plans are $29/mo for 250k credits here vs $30/mo for 200k there.

Does ScrapFly charge for failed requests?

Normally no — its Scrape Failed Protection covers failures with eligible status codes. But the protection is suspended when more than 30% of your traffic fails within an hour, which is precisely what a blocking event looks like. WebScraping.AI never bills failed requests, with no threshold or fine print.

Can I buy WebScraping.AI credits without a monthly subscription?

Yes. Pay-as-you-go top-ups start at $20 for 100,000 credits ($0.0002 per credit) with no subscription required — useful for occasional or seasonal workloads that don't justify a monthly plan. ScrapFly requires a monthly subscription to buy credits at all. If you do have a plan, PAYG credits are consumed only after that month's quota runs out, and they stay valid for 12 months, with each new top-up extending the entire balance another 12 months.

Does WebScraping.AI handle anti-bot systems like ScrapFly's ASP?

Hard targets route through rotating residential proxies (10–25 credits) or stealth proxies (50 credits) designed for protected-site scraping. ScrapFly's ASP is a strong specialized system and may win on the most aggressively protected sites; the difference is our cost is flat and known before you send the request.

Can I use WebScraping.AI with AI agents like ScrapFly's MCP?

Yes — both ship first-party MCP servers. WebScraping.AI's exposes question answering, field extraction, HTML/text retrieval, and CSS-selector tools to Claude, Cursor, and other MCP clients, with content sandboxing against prompt injection enabled by default on the hosted server.

## Compare other alternatives

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## Try WebScraping.AI as your ScrapFly alternative

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

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View API Documentation](https://webscraping.ai/docs)
