CFTC Commitments of Traders Scraper
Pricing
Pay per event
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CFTC Commitments of Traders Scraper
๐ Extract public CFTC COT reports into structured futures positioning rows for trading research, dashboards, and risk monitoring.
CFTC Commitments of Traders Scraper
Pricing
Pay per event
๐ Extract public CFTC COT reports into structured futures positioning rows for trading research, dashboards, and risk monitoring.
You can access the CFTC Commitments of Traders Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "reportType": "disaggregated_futures_only",10 "customReportUrl": "https://www.cftc.gov/dea/newcot/f_disagg.txt",11 "maxRows": 20,12 "marketNameFilter": "WHEAT",13 "includeRawRow": False,14}15
16# Run the Actor and wait for it to finish17run = client.actor("automation-lab/cftc-commitments-of-traders-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])21for item in client.dataset(run["defaultDatasetId"]).iterate_items():22 print(item)23
24# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use CFTC Commitments of Traders Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: