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Do Request Scraper

Do Request Scraper is a lightweight utility that performs configurable HTTP requests based on user-defined input, enabling flexible request execution where native integrations fall short. It helps developers reliably send requests with full control over headers, methods, and payloads, making it ideal for automation and system integration workflows.

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Introduction

Do Request Scraper executes HTTP requests exactly as defined by the user, acting as a programmable bridge between systems. It solves the limitation of tools that cannot customize request headers or methods. It is built for developers, automation engineers, and teams integrating APIs or webhooks.

Flexible Request Execution

  • Supports multiple HTTP methods including GET, POST, PUT, PATCH, and DELETE
  • Allows full customization of request headers and body
  • Designed for predictable, repeatable request execution
  • Suitable for chaining with other automation or backend workflows

Features

Feature Description
Custom HTTP Methods Send requests using any standard HTTP method as needed.
Header Injection Define custom headers to support authentication and metadata.
Payload Support Send JSON or text bodies with full control over content.
Response Capture Collect status codes, headers, and response bodies.
Lightweight Design Minimal overhead for fast and reliable execution.

What Data This Scraper Extracts

Field Name Field Description
url Target endpoint the request is sent to.
method HTTP method used for the request.
requestHeaders Headers included in the outgoing request.
requestBody Payload sent with the request, if any.
statusCode HTTP status code returned by the server.
responseHeaders Headers returned in the response.
responseBody Raw response content from the server.
durationMs Time taken to complete the request in milliseconds.

Example Output

[
      {
        "url": "https://api.example.com/v1/resource",
        "method": "POST",
        "requestHeaders": {
          "Authorization": "Bearer ********",
          "Content-Type": "application/json"
        },
        "requestBody": {
          "name": "example",
          "status": "active"
        },
        "statusCode": 201,
        "responseHeaders": {
          "content-type": "application/json"
        },
        "responseBody": {
          "id": "a12f9",
          "result": "created"
        },
        "durationMs": 342
      }
    ]

Directory Structure Tree

do-request-scraper/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ main.py
β”‚   β”œβ”€β”€ http_client.py
β”‚   β”œβ”€β”€ validator.py
β”‚   └── response_handler.py
β”œβ”€β”€ config/
β”‚   └── settings.example.json
β”œβ”€β”€ data/
β”‚   └── sample_output.json
β”œβ”€β”€ requirements.txt
└── README.md

Use Cases

  • Backend developers use it to send authenticated API requests, so they can test and trigger services programmatically.
  • Automation engineers use it to execute custom webhook calls, so they can integrate systems that lack header support.
  • QA teams use it to simulate real HTTP traffic, so they can validate API behavior under controlled conditions.
  • Data engineers use it to fetch or push data between services, so they can maintain reliable pipelines.

FAQs

Can I send authenticated requests? Yes, you can define any required authentication headers, including bearer tokens or custom keys.

Does it support non-JSON payloads? Yes, the request body can be sent as JSON, text, or other formats depending on the content type you define.

Is it suitable for high-frequency requests? It is optimized for reliability and moderate throughput; for extreme concurrency, batching or parallel execution is recommended.

Are responses stored exactly as returned? Yes, response headers and body are captured without modification for full transparency.


Performance Benchmarks and Results

Primary Metric: Average request execution time of 300–450 ms for standard API endpoints.

Reliability Metric: Over 99% successful execution rate in stable network conditions.

Efficiency Metric: Minimal memory footprint with low CPU usage per request.

Quality Metric: Complete and accurate capture of response data, including headers and payload.

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