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Offline Conversion Upload History Evidence

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Compare current GCLID conversion rows with explicit prior upload outcomes. Preserve duplicate identity/payload conflicts, accepted-history collisions, rejected-only evidence and scoped opaque order drift. JSON or mapped CSV; no Google access or upload.

Pricing

$0.25 / completed report

Rating

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Developer

Gilad Ronen

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Bookmarked

Total users

Monthly active users

21 days ago

Last modified

Categories

Marketing

Automation

You can access the Offline Conversion Upload History Evidence 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 API & Integrations 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    "snapshotId": "upload-october-04",
10    "historyCoverage": "partial",
11    "current": [
12        {
13            "rowId": "001",
14            "accountId": "0001",
15            "conversionName": "MQL",
16            "gclid": "click-a",
17            "conversionTime": "2026-10-01T10:00:00+02:00",
18            "orderId": "lead-1",
19            "value": "010.00",
20            "currency": "USD",
21        },
22        {
23            "rowId": "002",
24            "accountId": "0001",
25            "conversionName": "MQL",
26            "gclid": "click-a",
27            "conversionTime": "2026-10-01T08:00:00Z",
28            "orderId": "lead-1",
29            "value": "10",
30            "currency": "USD",
31        },
32        {
33            "rowId": "003",
34            "accountId": "0001",
35            "conversionName": "MQL",
36            "gclid": "click-b",
37            "conversionTime": "2026-10-02T08:00:00Z",
38            "orderId": "lead-2",
39            "value": "12.50",
40            "currency": "USD",
41        },
42        {
43            "rowId": "004",
44            "accountId": "0001",
45            "conversionName": "MQL",
46            "gclid": "click-c",
47            "conversionTime": "2026-10-03T08:00:00Z",
48            "orderId": "lead-3",
49            "value": "5.00",
50            "currency": "USD",
51        },
52        {
53            "rowId": "005",
54            "accountId": "0001",
55            "conversionName": "Sale",
56            "gclid": "click-a",
57            "conversionTime": "2026-10-01T08:00:00Z",
58            "orderId": "lead-1",
59            "value": "20.00",
60            "currency": "USD",
61        },
62    ],
63    "history": [
64        {
65            "rowId": "h-01",
66            "accountId": "0001",
67            "conversionName": "MQL",
68            "gclid": "click-a",
69            "conversionTime": "2026-10-01T08:00:00Z",
70            "orderId": "lead-1",
71            "value": "11.00",
72            "currency": "USD",
73            "outcome": "accepted",
74        },
75        {
76            "rowId": "h-02",
77            "accountId": "0001",
78            "conversionName": "MQL",
79            "gclid": "click-b",
80            "conversionTime": "2026-10-01T08:00:00Z",
81            "orderId": "lead-2",
82            "value": "12.50",
83            "currency": "USD",
84            "outcome": "accepted",
85        },
86        {
87            "rowId": "h-03",
88            "accountId": "0001",
89            "conversionName": "MQL",
90            "gclid": "click-c",
91            "conversionTime": "2026-10-03T08:00:00Z",
92            "orderId": "lead-3",
93            "value": "5.00",
94            "currency": "USD",
95            "outcome": "rejected",
96        },
97    ],
98    "currentCsv": "",
99    "historyCsv": "",
100    "currentColumns": {
101        "rowId": "rowId",
102        "accountId": "accountId",
103        "conversionName": "conversionName",
104        "gclid": "gclid",
105        "conversionTime": "conversionTime",
106        "orderId": "orderId",
107        "value": "value",
108        "currency": "currency",
109    },
110    "historyColumns": {
111        "rowId": "rowId",
112        "accountId": "accountId",
113        "conversionName": "conversionName",
114        "gclid": "gclid",
115        "conversionTime": "conversionTime",
116        "orderId": "orderId",
117        "value": "value",
118        "currency": "currency",
119        "outcome": "outcome",
120    },
121}
122
123# Run the Actor and wait for it to finish
124run = client.actor("h_murdock/offline-conversion-history-evidence").call(run_input=run_input)
125
126# Fetch and print Actor results from the run's dataset (if there are any)
127print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
128for item in client.dataset(run.default_dataset_id).iterate_items():
129    print(item)
130
131# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Offline Conversion Upload History Evidence API in Python

The Apify API client for Python is the official library that allows you to use Offline Conversion Upload History Evidence API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Offline Conversion Upload History Evidence API in JavaScript

Offline Conversion Upload History Evidence API through CLI

Offline Conversion Upload History Evidence OpenAPI definition

Offline Conversion Upload History Evidence API

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