← Glossary / Fiddler

What is Fiddler?

Fiddler is a web debugging proxy that logs, inspects, and modifies HTTP and HTTPS traffic between your client and the internet. For scraping engineers, it acts as a local man-in-the-middle, decrypting TLS payloads to reveal the exact headers, cookies, and hidden API endpoints a target application uses before you write a single line of extraction code.

DevToolsMITM ProxyTraffic InspectionAPI Reverse EngineeringTLS Decryption
// 02 — definitions

See the
wire.

Before you can scrape an undocumented API or bypass a complex auth flow, you need to see exactly what the official client is sending.

Ask a DataFlirt engineer →

TL;DR

Fiddler intercepts network traffic at the OS or device level, decrypting HTTPS via a custom root certificate. It allows engineers to reverse-engineer mobile apps, trace redirect chains, and replay modified requests to test anti-bot thresholds without deploying code.

01Definition & structure
Fiddler is a Man-in-the-Middle (MITM) proxy. It sits between your client (browser, mobile app, or script) and the internet. By installing Fiddler's root certificate on your device, it can decrypt HTTPS traffic, allowing you to inspect headers, cookies, JSON payloads, and hidden API endpoints that are otherwise encrypted on the wire.
02How it works in practice
You configure your OS or mobile device to use your desktop's IP address and Fiddler's port (usually 8888) as its HTTP proxy. As you navigate the target app, Fiddler logs every request. You can filter out noise, inspect the exact sequence of authentication requests, and copy the raw HTTP requests to replay them in Postman or Python to verify they work outside the app.
03Reverse engineering APIs
Scraping HTML is brittle. The primary reason scraping engineers use Fiddler is to find the underlying JSON APIs that power a website or mobile app. Once you find the endpoint returning clean, structured data, you can bypass the DOM entirely, resulting in faster, cheaper, and vastly more reliable extraction pipelines.
04How DataFlirt handles it
We don't run Fiddler in production. Our engineers use it during the scoping phase. When a client asks us to extract data from a complex Single Page Application (SPA) or mobile app, we route the traffic through Fiddler to map the API surface. We identify the required headers (like Authorization or custom X-Client-ID tokens), and then codify those rules into our high-throughput Go and Python extraction workers.
05Did you know?
Fiddler's AutoResponder feature allows you to intercept a request and serve a local file instead of sending it to the server. Engineers use this to inject custom JavaScript into a target page to bypass anti-bot challenges or to test how an application behaves when an API returns a 500 error or malformed JSON.
// 03 — interception metrics

How much traffic
can you capture?

Fiddler's utility depends on successfully bypassing client-side certificate pinning and capturing the full request lifecycle. These are the metrics we track during the discovery phase.

Interception Success Rate = S = decrypted_flows / (total_flowspinned_flows)
Certificate pinning drops S to zero until bypassed via runtime hooking. API Discovery Metrics
Payload Overhead = O = fiddler_latency + tls_re_encryption_time
MITM proxies add latency, which can occasionally trigger strict anti-bot timing checks. Network Layer Diagnostics
API Discovery Yield = Y = hidden_endpoints_found / hours_analyzed
Finding one undocumented JSON endpoint saves days of HTML parsing maintenance. DataFlirt Scoping Phase
// 04 — fiddler trace

Intercepting a
hidden mobile API.

A live capture of an Android app's login sequence, routed through Fiddler to extract the undocumented bearer token and device fingerprint headers.

HTTPS DecryptedMobile ProxyHeader Inspection
edge.dataflirt.io — live
CAPTURED
// inbound connection from Android device
client.ip: 192.168.1.104
tls.handshake: success // Fiddler Root CA accepted

// captured request
POST https://api.target.com/v2/auth/login HTTP/1.1
x-device-id: "android-a8f93j21"
x-app-version: "4.12.0"
content-type: application/json

// captured response
HTTP/1.1 200 OK
set-cookie: session_id=9f8a...; Secure; HttpOnly
body: { "token": "ey...", "refresh": "rt..." } // extracted

// pipeline action
status: auth flow mapped
// 05 — debugging targets

What engineers
look for.

The most common network layer signals and vulnerabilities scraping engineers hunt for when routing traffic through Fiddler.

PRIMARY USE ·  ·  ·  ·    API Discovery
DECRYPTION ·  ·  ·  ·  ·  MITM Root CA
ENVIRONMENT ·  ·  ·  ·    Local Desktop
01

Undocumented JSON APIs

high value · Bypassing HTML parsing entirely
02

Authentication token flows

critical · OAuth, JWT, and session cookie chains
03

Anti-bot telemetry payloads

diagnostic · Sensor data sent to Akamai or DataDome
04

Hidden pagination params

structural · Cursor offsets and page tokens
05

Rate limit headers

operational · X-RateLimit-Remaining visibility
// 06 — pipeline integration

Inspect locally,

deploy globally.

Fiddler is a local diagnostic tool, not a production proxy. At DataFlirt, our engineers use Fiddler during the initial scoping phase to map out a target's API surface and auth mechanisms. Once the undocumented endpoints and required headers are identified, that logic is codified into our distributed scraping infrastructure, replacing heavy browser automation with lightweight, high-speed HTTP requests.

Discovery Phase Trace

Mapping an iOS native client's API surface using Fiddler Everywhere.

phase discovery
tool Fiddler Everywhere
target.app iOS Native Client
tls.decryption active
cert.pinning bypassed (Frida)
endpoints.mapped 14
pipeline.status ready for codification

Stay ahead of the pipeline

Data engineering
intel, weekly.

Anti-bot shifts, scraping infrastructure updates, dataset delivery patterns, and business outcomes from our pipelines. Short, technical, no fluff.

// 07 — FAQ

Common
questions.

Common questions about using Fiddler for web scraping, bypassing certificate pinning, and reverse-engineering APIs.

Ask us directly →
What is the difference between Fiddler and Chrome DevTools? +
Chrome DevTools only captures traffic originating from that specific browser tab. Fiddler operates at the OS or network level, allowing you to capture traffic from mobile emulators, desktop applications, background services, and scripts running in your terminal.
How do I intercept HTTPS traffic without getting certificate errors? +
You must install Fiddler's custom root certificate into your operating system's or device's trusted certificate store. Once trusted, Fiddler can dynamically generate certificates for target domains, decrypt the traffic for inspection, and re-encrypt it before sending it to the server.
What happens if the target app uses certificate pinning? +
If an app uses certificate pinning, it hardcodes the expected server certificate and will reject Fiddler's dynamically generated MITM certificate. The connection will fail. To bypass this, you must use dynamic instrumentation tools like Frida or Xposed to hook the app's networking libraries and disable the pinning checks at runtime.
Can Fiddler modify requests on the fly? +
Yes. Fiddler's AutoResponder and FiddlerScript features allow you to intercept requests and modify headers, swap payloads, drop tracking beacons, or mock server responses entirely. This is invaluable for testing how an application handles malformed data or specific anti-bot challenge responses.
Does DataFlirt use Fiddler in production? +
No. Fiddler is strictly a local reverse-engineering and debugging tool. Our production pipelines use distributed proxy networks and headless browsers or raw HTTP clients. Fiddler is used by our engineers during the scoping phase to figure out exactly what the production scraper needs to do.
Is it legal to reverse-engineer an API using Fiddler? +
Inspecting traffic from your own device to a public server is generally lawful. However, using the discovered APIs to bypass access controls, scrape protected data, or overwhelm the server may violate Terms of Service or laws like the CFAA. Always consult legal counsel for your specific use case.
$ dataflirt scope --new-project --target=fiddler READY

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous feed across millions of records — we scope, build, and operate the pipeline.

hello@dataflirt.com  ·  Bengaluru  ·  IST  ·  typical reply < 4h