Parse large datasets and notify users efficiently - node.js

Question

I have a huge dataset that increases by hundreds/thousands items for sale every few minutes. I will be parsing this data as it comes in and I'm looking for suggestions on how to efficiently match new incoming items with users who want the item.
Examples of how other have done this would mean the world to me. Even just clarification on what to search for online would be helpful. I'm having difficulty asking the right questions to search engines so I can learn how to solve this (usually I'm very good at this sort of thing).
Thank you fellow geniuses!
p.s. Hoping so solve this problem with nodejs
Inventory Dataset Example:
{
"anchor": 982179125,
"next_page": 1,
"next_tier": 0,
"num_matches": 47037,
"postings": [
{
"category": "SBIK",
"category_group": "SSSS",
"external_id": "4488716340",
"heading": "60cm Aluminum/Carbon Road Bike, Ultegra/105 equipped, 20-Spd",
"location": {
"accuracy": 8,
"city": "USA-SFO-SNF",
"country": "USA",
"county": "USA-CA-SAF",
"geolocation_status": 3,
"lat": "37.801041",
"locality": "USA-SFO-MRS",
"long": "-122.434151",
"metro": "USA-SFO",
"region": "USA-SFO-SAF",
"state": "USA-CA",
"zipcode": "USA-94123"
},
"price": 800.0
},
{
"category": "SBOT",
"category_group": "SSSS",
"external_id": "4488164318",
"heading": "Burley Bee Boat Trailer",
"location": {
"accuracy": 8,
"city": "USA-SFO-SNF",
"country": "USA",
"county": "USA-CA-SAF",
"geolocation_status": 3,
"lat": "37.7999",
"locality": "USA-SFO-MRS",
"long": "-122.4342",
"metro": "USA-SFO",
"region": "USA-SFO-SAF",
"state": "USA-CA",
"zipcode": "USA-94123"
},
"price": 150.0
},
{
"category": "SAUT",
"category_group": "SSSS",
"external_id": "4459983854",
"heading": "Car frame extra light castom made",
"location": {
"accuracy": 8,
"city": "USA-SFO-SNF",
"country": "USA",
"county": "USA-CA-SAF",
"geolocation_status": 3,
"lat": "37.7999",
"locality": "USA-SFO-MRS",
"long": "-122.4342",
"metro": "USA-SFO",
"region": "USA-SFO-SAF",
"state": "USA-CA",
"zipcode": "USA-94123"
},
"price": 300.0
},
"success": true,
"time_fetch": 9.4971656799316406,
"time_search": 42.315006256103516,
"time_taken": 183.84885787963867
}
My users are looking for:
{name:"tom",wants:"new car"}
{name:"john",wants:"Road Bike",price:[low:100,high:1000]}
{name:"becky",wants:"dolls"}
{name:"sam",wants:"Drobo",price:[low:0,high:500]}]
...
...
...