# AWS WAF Bypass Scraper (`saswave/aws-waf-bypass-scraper`) Actor

Generates valid Amazon Web Services (AWS) Web Application Firewall verification tokens (aws-waf-token). Designed for web scraping frameworks, data pipelines, and browser automation setups that need to access protected sites without triggering CAPTCHA blocks or JS challenge failures.

- **URL**: https://apify.com/saswave/aws-waf-bypass-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** Automation, Agents, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.55 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### AWS WAF Bypass Scraper

Generates valid Amazon Web Services (AWS) Web Application Firewall verification tokens (aws-waf-token).

Designed for web scraping frameworks, data pipelines, and browser automation setups that need to access protected sites without triggering CAPTCHA blocks or JS challenge failures.

### FEATURES

Token Generation: Automatically solves invisible JavaScript challenges and retrieves valid aws-waf-token values.

Headless Integration: Returns ready-to-use cookies that can be directly injected into HTTP request clients (axios, requests, cURL) or headless browsers.

Dynamic Parameter Handling: Automatically extracts cryptographic challenge parameters (awsKey, awsIv, awsContext) from targeted domain protection scripts.

High Success Rates: Built to adapt dynamically to updating AWS WAF protection rules and anti-bot challenge mechanisms.

### USE CASES

Marketplace & Exchange Monitoring: Scrape real-time pricing and ticker data from crypto exchanges or retail sites guarded by AWS WAF.

Automated Data Pipelines: Prevent ETL jobs and data collection bots from breaking due to sudden WAF challenge interstitials.

Custom Scraper Integration: Feed generated WAF tokens into downstream scraping tools to maintain high-throughput request loops.

### OUTPUT

```json
{
  "url": "https://www.binance.com/en/price/bitcoin",
  "token": "0e215702-f293-471a-9440-5bb33b81c17b:DAoAuU9LgHkoAAAA:8RWEJLpYXKDp1fm5vfpGcpZ+U9OCk6pdulTFh029IK116tJzFK0RttItZWRkxhkexNA1+igCkf2Uzebgrt7TrRnE3aX1Ho94H+jjQsImk9VAQyc43BRW2bh/9WP/nWP+hBaXcWYR30BsgyBTtcL81COI6+6nCt8QzcsVMMiO3jg537BQupt9J+NY/TPApytvrJCEvSfcMn6qd6jNzw6aP7abg7X2PYnI/RUHkjGB+FJB8rjnl6q7K8qm0/tIJs0NEw0wO7g="
}
```

### 🛟 SUPPORT

Share your runs with the developer team and create issues on error to help us improve actor quality.

You might discover edge case we didn't test yet

We stay available anytime

# Actor input Schema

## `urls` (type: `array`):

No description

## Actor input object example

```json
{
  "urls": [
    "https://www.binance.com/en/price/bitcoin",
    "https://www.trustpilot.com/review/www.google.com"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.binance.com/en/price/bitcoin",
        "https://www.trustpilot.com/review/www.google.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/aws-waf-bypass-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "urls": [
        "https://www.binance.com/en/price/bitcoin",
        "https://www.trustpilot.com/review/www.google.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("saswave/aws-waf-bypass-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.binance.com/en/price/bitcoin",
    "https://www.trustpilot.com/review/www.google.com"
  ]
}' |
apify call saswave/aws-waf-bypass-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/aws-waf-bypass-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/B4YzaFy5zgJjVsL2N/builds/W9wYnd7i3L5qQl3xf/openapi.json
