1from apify_client import ApifyClient
2
3
4
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7
8run_input = {
9 "observations": [
10 {
11 "location_identifier": "REGION^87490",
12 "deal_type": "sale",
13 "found": True,
14 "price": 450000,
15 "currency": "GBP",
16 "property_type": "Terraced",
17 "rooms": 3,
18 "area_sqm": 90,
19 "posted_date": "2026-08-01T09:00:00Z",
20 "partial": False,
21 "source_portal": "rightmove",
22 },
23 {
24 "location_identifier": "REGION^87490",
25 "deal_type": "sale",
26 "found": True,
27 "price": 475000,
28 "currency": "GBP",
29 "property_type": "Terraced",
30 "rooms": 3,
31 "area_sqm": 95,
32 "posted_date": "2026-08-02T09:00:00Z",
33 "partial": False,
34 "source_portal": "rightmove",
35 },
36 {
37 "location_identifier": "REGION^87490",
38 "deal_type": "sale",
39 "found": True,
40 "price": 525000,
41 "currency": "GBP",
42 "property_type": "Terraced",
43 "rooms": 3,
44 "area_sqm": 100,
45 "posted_date": "2026-08-03T09:00:00Z",
46 "partial": False,
47 "source_portal": "rightmove",
48 },
49 ],
50 "reportLabel": "London asking-price sample",
51 "minimumSegmentSize": 3,
52 "acknowledgeBuyerAuthority": True,
53}
54
55
56run = client.actor("zinin/rightmove-market-comps-analyzer").call(run_input=run_input)
57
58
59print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
60for item in client.dataset(run.default_dataset_id).iterate_items():
61 print(item)
62
63