Quora Question Scraper Bot

A production-ready Android automation that discovers, extracts, and structures Quora questions and metadata at scale. It removes manual browsing, captures high-signal prompts, and exports clean datasets for research, SEO, and content pipelines—reliably and safely on real devices or emulators.

Created by Appilot, built to showcase our approach to Automation!
If you are looking for custom Quora Question Scraper Bot, you've just found your team — Let’s Chat.👆👆

Introduction

This system automates end-to-end discovery and extraction of Quora questions, topics, and essential attributes (views, followers, answer count, timestamps) directly from Android devices/emulators.
It eliminates repetitive scrolling, filtering, and copying—turning hours of manual effort into structured JSON/CSV in minutes.
Businesses and teams use it to build high-quality prompt libraries, market-research datasets, and content backlogs with consistent formatting and audit logs.

Automating Quora Discovery & Capture

• Collects questions from feeds, topic pages, profiles, and search queries with configurable depth and rate.
• Captures titles, URLs, stats (views, followers, answers), timestamps, top tags/topics, and optional first-answer preview.
• Supports scheduled runs, deduplication, and incremental updates for ongoing datasets.
• Export-ready outputs (JSON/CSV) with run metadata, device ID, and execution logs.

Core Features

• Real Devices and Emulators: Works on physical Android phones/tablets and popular emulators (Bluestacks, Nox). Identical behavior and parity across device types.
• No-ADB Wireless Automation: Fully ADB-less control via Accessibility + UI Automator flows; plug-and-play over Wi-Fi—no cable juggling.
• Mimicking Human Behavior: Randomized delays, natural scroll velocity, partial viewport reads, and staggered taps to reduce platform friction.
• Multiple Accounts Support: Rotate Quora profiles/session containers to diversify feeds and expand topic coverage safely.
• Multi-Device Integration: Run parallel workers across a device farm; centralized queue assigns topic/search jobs to free devices.
• Exponential Growth for Your Account: Identify trending questions early; optionally draft answer templates and schedule engagement to compound reach.
• Premium Support: Priority onboarding, device-farm tuning, and custom extractors for new Quora layouts.
• Topic & Search Pipelines: Configure topic slugs and keyword lists; the scheduler explores paginated results to predefined depth.
• Structured Exports: Write runs to /output/ as *.json and *.csv, with schema versioning and execution metadata.
• Anti-Duplication & Delta Mode: Hash-based canonical keys to avoid repeats; only new/updated questions are appended.

Additional capabilities:

Feature	Description
Smart Rate Control	Adaptive pacing per screen; backs off on fast content loads to prevent UI thrashing.
Selector Fallbacks	Resilient UI mapping with chained selectors, text heuristics, and bounds checks.
Job Queue & Retry	Fault-tolerant worker queue with exponential backoff and idempotent tasks.
Proxy & Network Profiles	Optional device-level proxies, DNS rules, and per-account network policies.
Run Auditing	JSON logs with screenshots-on-error for rapid debugging and reproducibility.

How It Works

1. Input or Trigger — Launch from the Appilot dashboard; define topics, keywords, depth, schedule, and output format (JSON/CSV).
2. Core Logic — Appilot orchestrates UI Automator/Accessibility flows on a device/emulator to open Quora, navigate feeds/search, and read elements on-screen.
3. Output or Action — Parsed question entities (title, URL, stats, topics, timestamps) are written to /output/ and optionally forwarded to webhooks/DBs.
4. Other functionalities — Automatic retries on flaky pages, structured logging, per-step screenshots on failure, and parallel device execution via the queue.

Tech Stack

• Language: Kotlin, Java, Python, JavaScript
• Frameworks: Appium, UI Automator, Espresso, Robot Framework, Cucumber
• Tools: Appilot, Android Debug Bridge (ADB), Appium Inspector, Bluestacks, Nox Player, Scrcpy, Firebase Test Lab, MonkeyRunner, Accessibility
• Infrastructure: Dockerized device farms, Cloud-based emulators, Proxy networks, Parallel Device Execution, Task Queues, Real device farm

Directory Structure

    quora-question-scraper-bot/
    │
    ├── src/
    │   ├── main.py
    │   ├── automation/
    │   │   ├── runner.py
    │   │   ├── quora_workflows.py
    │   │   ├── extractors/
    │   │   │   ├── questions.py
    │   │   │   └── topics.py
    │   │   └── utils/
    │   │       ├── logger.py
    │   │       ├── device_pool.py
    │   │       ├── selectors.py
    │   │       └── schema.py
    │   ├── integrations/
    │   │   ├── webhook_client.py
    │   │   └── db_writer.py
    │   └── scheduler/
    │       ├── job_queue.py
    │       └── retry.py
    │
    ├── config/
    │   ├── settings.yaml
    │   ├── devices.yaml
    │   └── credentials.env
    │
    ├── logs/
    │   ├── run-2025-11-04.jsonl
    │   └── screenshots/
    │       └── error_001.png
    │
    ├── output/
    │   ├── questions.json
    │   └── questions.csv
    │
    ├── tests/
    │   ├── test_extractors.py
    │   └── test_selectors.py
    │
    ├── docker/
    │   ├── Dockerfile
    │   └── docker-compose.yml
    │
    ├── requirements.txt
    └── README.md

Use Cases

• SEO teams use it to harvest topic-rich question prompts, so they can prioritize content ideas with proven demand.
• Product marketers use it to track audience pain points by niche, so they can align messaging and feature pages.
• Data researchers use it to build longitudinal datasets of question trends, so they can model seasonality and growth.
• Agencies use it to generate answer backlogs and client-specific research packs, so they can scale deliverables faster.

FAQs

How do I configure this automation for multiple accounts?
Add additional sessions in config/devices.yaml; the scheduler round-robins jobs across accounts and devices while preserving per-session cookies and app state.

Does it support proxy rotation or anti-detection?
Yes—configure device-level proxies and network profiles per account. Human-like input pacing, randomized scrolls, and selector fallbacks are built in.

Can I schedule it to run periodically?
Use the Appilot dashboard or scheduler/job_queue.py with a CRON-like interval to trigger topic and keyword lists on a recurring basis.

What output formats are available?
Structured JSON and CSV by default, plus optional webhook dispatch or DB write via integrations/.

Will it work on emulators only, or real devices too?
Both. It’s validated on Bluestacks/Nox and a range of physical Android devices with identical workflows.

Performance & Reliability Benchmarks

• Execution Speed: ~350–600 questions/hour/device on typical topic feeds with medium depth and screenshots disabled.
• Success Rate: 95% stable extraction on supported app versions and device profiles.
• Scalability: Horizontal scale from 5 to 300+ Android devices; queue-driven fan-out keeps utilization high.
• Resource Efficiency: Lightweight workers (~200–350MB RAM/device process); log streaming and incremental exports reduce I/O.
• Error Handling: Exponential backoff, per-step retries, screenshot-on-failure, structured JSON logs, and alert hooks for quick recovery.