FlowSync
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ProResearch5 nodes
Score 73

Competitor Pricing Monitor

Provide competitor URLs — Requests + Trafilatura scrape pricing pages, LLM extracts plan tiers, features, and prices, Pandas normalises into a comparison matrix, exports an Excel with price-change alerts.

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What does this workflow do?

Drop your URLs — the pipeline runs 5 automated steps: Requests (URLs→html) → Trafilatura (html→text) → LLM Reasoning (text→json) → Pandas (json→csv) → OpenPyXL (csv→xlsx) — and delivers xlsx. Every node is visible, auditable, and replaceable.

System flow

1. Requests — HTTP fetch layer with retry, throttle and header control 2. Trafilatura — Boilerplate-free main-content extraction from any web page 3. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 4. Pandas — Tabular compute — join, aggregate, validate and reshape the extracted records 5. OpenPyXL — Writes a formatted, formula-ready Excel workbook as the deliverable

Pipeline breakdown

Requests URLs Trafilatura html LLM Reasoning text Pandas json OpenPyXL csv
  1. Requests requests — HTTP fetch layer with retry, throttle and header control URLs → html
  2. Trafilatura trafilatura — Boilerplate-free main-content extraction from any web page html → text
  3. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output text → json
  4. Pandas pandas — Tabular compute — join, aggregate, validate and reshape the extracted records json → csv
  5. OpenPyXL openpyxl — Writes a formatted, formula-ready Excel workbook as the deliverable csv → xlsx

Workflow Reputation Score

Based on executions, success rate, update frequency, component quality, and user rating.

73Overall
★★★★★ 4.4
▶Executions
30
✓Success rate
100
↻Update frequency
70
⚙Component quality
90
★User rating
88

Based on executions, success rate, update frequency, component quality, and user rating.

Components used

Requestsrequests

HTTP fetch layer with retry, throttle and header control

psf/requests ↗
Trafilaturatrafilatura

Boilerplate-free main-content extraction from any web page

adbar/trafilatura ↗
LLM Reasoningllm

Large-language-model step that extracts, classifies, validates or writes structured output

FlowSync proprietary
Pandaspandas

Tabular compute — join, aggregate, validate and reshape the extracted records

pandas-dev/pandas ↗
OpenPyXLopenpyxl

Writes a formatted, formula-ready Excel workbook as the deliverable

theorchard/openpyxl ↗

How is this different from n8n or Zapier?

Unlike generic workflow builders, FlowSync workflows ship pre-configured with AI skills baked into every node — OCR, LLM reasoning, transcription, super-resolution — not just webhook triggers. Each node is white-box auditable: you see input, output, and config. Deployment is instant — no self-hosting, no API-key per node.

Use cases

  • SaaS pricing intelligence
  • Retail price monitoring
  • Subscription plan comparison
  • Promotional campaign tracking

Author & Source

This workflow is maintained by the FlowSync team. All components are open-source or commercially licensed. Source code for each component is linked in the Components section above.

Pricing: Free tier available · PRO tier · Official

Data handling

Data is processed in-memory during pipeline execution only. No files are stored permanently unless you choose to save outputs to your account.

FlowSync Workflow Marketplace · 73 reputation score · 30% execution · 100% success · 5-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Provide competitor URLs — Requests + Trafilatura scrape pricing pages, LLM extracts plan tiers, features, and prices, Pandas normalises into a comparison matrix, exports an Excel with price-change alerts.

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