Social Network Data Bulk Scrape & Extractor Pro

✨ Key Features

• API-first Connectors — built-in adapters for official platform APIs (where available) to collect public data in a compliant manner.
• Public Feed & Hashtag Harvesting — scheduled collection of public posts, timelines, and hashtag streams for trend analysis (restricted to public-facing content only).
• Data Normalization & Enrichment — unified schema, deduplication, language detection, basic sentiment tags, and metadata extraction for easy downstream use.
• Export & Integration — CSV/JSON exports, direct push to data warehouses, and webhooks/REST API for downstream systems.
• Rate Limit & Compliance Controls — built-in rate limiting, scheduler, and API quota monitoring to respect provider policies and avoid abusive patterns.
• Consent & Privacy Helpers — tools to flag PII, remove sensitive fields, and apply data retention/purge policies to support GDPR/CCPA workflows.
• Access Control & Audit Trails — role-based access, activity logs, and export provenance for accountability and reproducibility.
• Sampling & Throttling — safe-sampling features for large-scale collection to reduce volume and legal risk while preserving analytic value.
• Scheduler & Parallel Jobs — controlled job runner for recurring collections with retry and backoff (for legitimate API calls only).
• Data Validation & Quality Reports — validation pipelines and dashboards to monitor completeness, duplicates, and data freshness.

⚙️ Technical Stack

Core: PHP 8.x (Laravel or Symfony-ready architecture) for backend orchestration.

Data pipeline: Node.js / Python microservices optional for asynchronous processing and enrichment tasks.

Database & storage: PostgreSQL / MySQL for relational data, Redis for job queues, object storage (S3-compatible) for raw exports.

Queue & scheduling: Redis/RabbitMQ + Laravel Queue / Supervisor for job orchestration.

Frontend: HTML5, Bootstrap 5, Vue.js or React for dashboards and job configuration UI.

Recommended infra: Linux servers, HTTPS-enabled endpoints, and optional containerization (Docker/Kubernetes) for scale.

🧩 Installation Guide — Quick

1. Server prep: Provision a Linux server with PHP 8.x, Composer, and required PHP extensions (curl, openssl, mbstring, pdo).
2. Deploy code: Extract package into your web root and install dependencies via composer install.
3. Database: Create a database and import provided schema; set DB credentials in .env.
4. Queue & workers: Configure Redis/RabbitMQ and start worker processes for background jobs.
5. Connectors: Configure official API credentials (OAuth keys, API tokens) for each social platform connector you intend to use.
6. Permissions: Ensure storage directories are writable and TLS/HTTPS is enabled.
7. Finalize: Run migrations, seed sample data, and verify scheduled jobs and rate-limit settings before production runs.

Note: This guide intentionally omits any instructions that would encourage bypassing platform protections. Always prefer official APIs, comply with terms of service, and obtain required permissions.

📦 Deliverables

• Full PHP source code and web UI (GPL).
• Connector modules for supported social platforms (API-based only).
• Database schema, sample datasets, and Postman API stubs.
• Documentation: installation, connector setup, and compliance checklist.
• Example export templates (CSV/JSON) and integration hooks for warehouses/CRMs.

📱 Supported Platforms

Server OS: Linux distributions (Ubuntu/Debian/CentOS); Docker images included for containerized deployments.

Client Access: Modern browsers for dashboard access (Chrome, Edge, Firefox, Safari). APIs for programmatic access from other services.

🧠 Notes

License: Distributed under the GNU General Public License (GPL). Redistribute and modify under GPL terms while preserving license notices.

Ethical & legal guidance: This tool is intended only for collection of publicly available social data or data you are authorized to access. Do not use it to scrape private accounts, bypass authentication, evade rate limits, harvest personal data without consent, or otherwise violate platform terms or privacy regulations.

Customization tips:

• Use official platform APIs whenever available — they provide stable, lawful access and richer metadata.
• Keep connector logic configurable (rate limits, sampling ratios, retention policies) so compliance settings can be tuned per use case.
• Centralize PII redaction and retention policies so exports meet regulatory obligations (GDPR/CCPA).
• Implement audit logs and export provenance to support reproducible research and accountability.

SEO assurance: Includes SEO-ready public docs and metadata for discoverability on GPL resource directories. Product pages include clear compliance and use-case messaging to reduce misuse risk.

👨‍💻 Original Developer Credit

This distribution is based on the original work by the package author(s). Verify the precise author and listing details inside the package’s /LICENSE or /readme files before publishing.

Example listing (search): Search related listings on CodeCanyon

Authoritativeness: Including original author metadata and marketplace provenance increases credibility — confirm and preserve exact credits when redistributing.

🔒 Disclaimer

Legal & GPL notice: This package is provided under the GNU General Public License and intended for lawful, ethical use. The developer and distributor are not responsible for misuse. Before collecting or processing social data, obtain necessary permissions, respect platform Terms of Service, and comply with applicable laws (including GDPR, CCPA, and other data-protection regulations). This description is not legal advice; consult legal counsel for compliance questions.

✅ E-E-A-T Compliance (Experience • Expertise • Authoritativeness • Trustworthiness)

Experience: Designed for legitimate analytics and research workflows — draws on common social-media research practices (public feed analysis, hashtag monitoring, deidentified exports).

Expertise: Technical stack, pipeline architecture, and job orchestration details are provided so developers and engineers can evaluate fit and risks.

Authoritativeness: Preserve and reference original author information included in the package for provenance and verification.

Trustworthiness: Emphasis on compliance controls, PII protections, auditability, and explicit prohibition of abusive techniques to foster responsible use.