Finding the best product price across many stores — to your messenger

You name a product — the scenario gathers prices from several stores, compares them in Microsoft SQL and sends the best to express.

  • Prices from many stores at once
  • The best price highlighted
  • The result comes to your messenger
  • Data piles up in a table
n8n FormBright Data

How it works

To move data from Microsoft SQL to express automatically, use a ready-made scenario — no manual exports.

  1. Starts when: On form submission
  2. Then: Triggers Bright Data scraping for Amazon using keyword
  3. Then: Checks scrape status for Amazon (status: ready)
  4. Check: If
  5. If yes: If26
  6. If yes: Fetches final scraped data from Amazon snapshot
  7. Check: Filter1
  8. Check: If9
  9. If yes: Google Sheets1
  10. Check: Merge
  11. Then: Code1
  12. Then: AI Agent
  13. Then: Clean AI Output
  14. Then: Telegram
  15. If no: Wait
  16. Then: Triggers Bright Data scraping for eBay
  17. Then: Checks scrape status for eBay
  18. Check: If1
  19. If yes: If25
  20. If yes: Extracting Data from snapshort
  21. Check: Filter8
  22. Check: If10
  23. If yes: Google Sheets
  24. If no: Wait1
  25. Then: Triggers Bright Data scraping for Etsy
  26. Then: Checks scrape status for Etsy
  27. Check: If3
  28. If yes: If24
  29. If yes: Fetches final scraped data from Etsy snapshot
  30. Check: Filter
  31. Check: If11
  32. If yes: Google Sheets2
  33. If no: Wait2
  34. Then: Triggers Bright Data scraping for BestBuy
  35. Then: Checks scrape status for BestBuy
  36. Check: If4
  37. If yes: If18
  38. If yes: Fetches final scraped data from BestBuy snapshot
  39. Check: Filter2
  40. Check: If12
  41. If yes: Google Sheets3
  42. If no: Wait3
  43. Then: Triggers Bright Data scraping for Target
  44. Then: Checks scrape status for Target
  45. Check: If5
  46. If yes: If19
  47. If yes: Fetches final scraped data from Target snapshot
  48. Check: Filter3
  49. Check: If13
  50. If yes: Google Sheets4
  51. If no: Wait4
  52. Then: Triggers Bright Data scraping for Home Depot
  53. Then: Checks scrape status for Home Depot
  54. Check: If6
  55. If yes: If20
  56. If yes: Fetches final scraped data from Target snapshot1
  57. Check: Filter4
  58. Check: If14
  59. If yes: Google Sheets5
  60. If no: Wait5
  61. Then: wayfair
  62. Then: HTTP Request14
  63. Check: If7
  64. If yes: If21
  65. If yes: HTTP Request15
  66. Check: Filter5
  67. Check: If16
  68. If yes: Google Sheets6
  69. If no: Wait6
  70. Then: lowes
  71. Then: HTTP Request16
  72. Check: If8
  73. If yes: If22
  74. If yes: HTTP Request17
  75. Check: Filter6
  76. Check: If15
  77. If yes: Google Sheets7
  78. If no: Wait7
  79. Then: Anthropic Chat Model

You can launch this Microsoft SQL + express integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.