Pricing

Pay per event

CFTC COT Report Scraper - Futures Positioning Data

Pull the CFTC Commitments of Traders (COT) report as structured rows. Covers legacy, disaggregated, and financial-futures variants. Filter by commodity, market code, and date range. Long, short, spread positions per trader category plus open interest and trader counts.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Business

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Other

You can access the CFTC COT Report Scraper - Futures Positioning Data 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    "sp_intended_usage": "Describe your intended use...",
10    "sp_improvement_suggestions": "Share your suggestions here...",
11    "sp_contact": "Share your email here...",
12    "reportType": "legacy_combined",
13    "commodityName": "",
14    "marketCode": "",
15    "reportDateFrom": "",
16    "reportDateTo": "",
17    "socrataAppToken": "",
18    "maxItems": 10,
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("jungle_synthesizer/cftc-cot-positions-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27    print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

CFTC COT Scraper - Commitments of Traders Weekly Positions API in Python

The Apify API client for Python is the official library that allows you to use CFTC COT Report Scraper - Futures Positioning Data API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

CFTC COT Report Scraper - Futures Positioning Data API in JavaScript

CFTC COT Report Scraper - Futures Positioning Data API through CLI

CFTC COT Report Scraper - Futures Positioning Data OpenAPI definition

CFTC COT Report Scraper - Futures Positioning Data API

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