Pricing

Pay per event

US Brand Signal Cross-Tabulator

Build a deterministic complete two-dimensional count matrix from buyer-supplied opaque rows, including zero cells, totals, basis points, and stable digests.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Tim Zinin

Actor stats

Bookmarked

Total users

Monthly active users

15 hours ago

Last modified

Categories

MCP servers

Automation

Marketing

You can access the US Brand Signal Cross-Tabulator 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    "schemaVersion": "1.0",
10    "rows": [
11        {
12            "rowId": "observation-001",
13            "rowDimension": "enterprise",
14            "columnDimension": "accepted",
15        },
16        {
17            "rowId": "observation-002",
18            "rowDimension": "enterprise",
19            "columnDimension": "review",
20        },
21        {
22            "rowId": "observation-003",
23            "rowDimension": "startup",
24            "columnDimension": "accepted",
25        },
26        {
27            "rowId": "observation-004",
28            "rowDimension": "startup",
29            "columnDimension": "rejected",
30        },
31        {
32            "rowId": "observation-005",
33            "rowDimension": "enterprise",
34            "columnDimension": "accepted",
35        },
36    ],
37}
38
39# Run the Actor and wait for it to finish
40run = client.actor("zinin/us-brand-signal-cross-tabulator").call(run_input=run_input)
41
42# Fetch and print Actor results from the run's dataset (if there are any)
43print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
44for item in client.dataset(run["defaultDatasetId"]).iterate_items():
45    print(item)
46
47# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

US Brand Signal Cross-Tabulator | Matrix API API in Python

The Apify API client for Python is the official library that allows you to use US Brand Signal Cross-Tabulator API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

US Brand Signal Cross-Tabulator API in JavaScript

US Brand Signal Cross-Tabulator API through CLI

US Brand Signal Cross-Tabulator OpenAPI definition

US Brand Signal Cross-Tabulator API

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