Pricing

from $30.00 / 1,000 photo classifieds

Construction Incident Photo Sorter & Claims Review Queue

Organises construction incident photo batches for insurance claims. Classifies each photo by damage type and location zone from its metadata, assigns reviewer priority, and outputs a ranked human-review queue. Metadata triage only — no damage or liability assessments are made.

Pricing

from $30.00 / 1,000 photo classifieds

Rating

0.0

(0)

Developer

Christopher Smith

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Categories

Automation

Developer tools

Other

You can access the Construction Incident Photo Sorter & Claims Review Queue programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "photos": [
10        {
11            "filename": "DEMO_SAMPLE_do_not_use__north_wall_collapse.jpg",
12            "description": "DEMO SAMPLE - automated-test data, NOT a real incident. Roof truss collapsed onto the north wall after a storm.",
13            "tags": [
14                "collapse",
15                "structural",
16                "DEMO",
17            ],
18        },
19        {
20            "filename": "DEMO_SAMPLE_do_not_use__level2_water_leak.jpg",
21            "description": "DEMO SAMPLE - automated-test data, NOT a real incident. Burst pipe flooding the level 2 corridor, saturated ceiling.",
22            "tags": [
23                "water",
24                "leak",
25                "DEMO",
26            ],
27        },
28        {
29            "filename": "DEMO_SAMPLE_do_not_use__plantroom_fire.jpg",
30            "description": "DEMO SAMPLE - automated-test data, NOT a real incident. Charred electrical panel and smoke damage in the plant room.",
31            "tags": [
32                "fire",
33                "smoke",
34                "DEMO",
35            ],
36        },
37    ],
38    "claim_id": "DEMO-SAMPLE-not-a-real-claim",
39}
40
41# Run the Actor and wait for it to finish
42run = client.actor("armourylabs/construction-incident-photo-classifier").call(run_input=run_input)
43
44# Fetch and print Actor results from the run's dataset (if there are any)
45print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
46for item in client.dataset(run["defaultDatasetId"]).iterate_items():
47    print(item)
48
49# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Construction Incident Photo Sorter for Claims API in Python

The Apify API client for Python is the official library that allows you to use Construction Incident Photo Sorter & Claims Review Queue API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Construction Incident Photo Sorter & Claims Review Queue API in JavaScript

Construction Incident Photo Sorter & Claims Review Queue API through CLI

Construction Incident Photo Sorter & Claims Review Queue OpenAPI definition

Construction Incident Photo Sorter & Claims Review Queue API

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