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You can use Python to collect financial information, but a successful request to Nasdaq.com does not mean you have permission to copy or automatically extract its news. Nasdaq’s posted terms restrict automated capture and copying or extracting site content. If you need Nasdaq.com articles for repeated collection, analysis, republication, commercial use, or retention, check the current terms and obtain any required written approval or license before collecting them. For company filings and disclosures, the SEC’s EDGAR services provide documented programmatic access—but they are not a Nasdaq news feed.
First identify what you mean by “Nasdaq news”
The right source depends on the material you need. Nasdaq.com editorial articles, company announcements, regulatory filings, earnings-calendar entries, and licensed market datasets are different products. An official source for one is not automatically a substitute for another.
| What you need | Relevant source | What the available documentation establishes |
|---|---|---|
| Nasdaq.com editorial news articles | Nasdaq.com or a feed or license Nasdaq authorizes for your use | The reviewed materials do not establish a public, stable Nasdaq.com news API for this purpose. Ask Nasdaq about authorized access and reuse rights. Nasdaq Legal |
| Company filings, submissions, and extracted XBRL data | SEC EDGAR | The SEC documents JSON REST APIs for submissions and extracted XBRL data on data.sec.gov, along with filing-search RSS feeds, indexes, and archives. These are filings-related resources, not Nasdaq.com editorial news. SEC Developer Resources |
| Licensed financial datasets | A data provider with a product and license covering your intended use | Nasdaq Data Link’s documentation describes product-specific API access and use restrictions. The located documentation does not establish that it supplies Nasdaq.com news or authorizes scraping Nasdaq.com. Nasdaq Data Link terms |
Why a Python scraper is not automatically permitted
Nasdaq’s posted terms describe a personal, non-commercial license and restrictions on copying, extracting, automated capture, storage, redistribution, and derivative works. Section 7 states: “You shall not share, transfer, disclose, copy, publish or create derivative works from the content, incl. associated metadata (the “Content”) or the Service without Nasdaq’s prior written approval.” The page also addresses automated extraction and data analysis. Because the terms can change and may apply differently depending on the use, review the current text and obtain written permission or a suitable license where required.
Seeing an article in a browser, observing a request in network traffic, or receiving an HTTP 200 response establishes neither authorization nor a supported API. It also does not promise that a request format or service will remain available: Nasdaq’s terms say services can change or be discontinued without notice. Do not treat an undocumented endpoint as endorsed, stable, or licensed for collection.
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Use EDGAR when you need filings, not editorial coverage
If your actual need is a company’s regulatory filing or disclosure, start with the SEC’s Developer Resources. The SEC documents JSON REST APIs on data.sec.gov for submissions and extracted XBRL data; it also describes RSS for some filing searches, daily and quarterly index files, and archives. These resources can support programmatic filing workflows, but they do not provide Nasdaq.com news articles.
The SEC’s access guidance says to download only what you need, moderate requests, and stay at or below 10 requests per second per user. That is the SEC’s stated operational limit, not a general allowance for other websites. The agency reserves the right to block excessive requests and does not allow unclassified bots to crawl its site; follow its current identification and access guidance before deploying a client.
A safe Python pattern for a source you are authorized to use
Once a source’s documentation and license permit your intended collection, the general workflow is to request only needed material, check the response, parse documented fields, and preserve source and retrieval-time information. The example below is deliberately generic: it is not a Nasdaq endpoint or a tested recipe for Nasdaq.com news. Replace the URL and field handling only with those documented by a source you are authorized to use.
import requests
from datetime import datetime, timezone
url = "https://api.example.com/documented-resource"
response = requests.get(
url,
headers={"User-Agent": "MyResearchTool contact: [email protected]"},
timeout=20,
)
response.raise_for_status()
# Continue only if the authorized source documents a JSON response.
data = response.json()
retrieved_at = datetime.now(timezone.utc).isoformat()
# Adapt this to the source's documented schema; do not assume fields exist.
for item in data.get("items", []):
print({
"title": item.get("title"),
"url": item.get("url"),
"source": "documented provider name",
"retrieved_at": retrieved_at,
})The example demonstrates ordinary request and parsing mechanics only. It does not verify an active endpoint, Nasdaq markup, or a Nasdaq news API. For production use, follow the provider’s documented authentication, request limits, permitted fields, retention rules, and redistribution terms. Handle missing fields and format changes explicitly rather than silently treating incomplete records as complete.
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- Content and publisher: Confirm whether you need editorial articles, official filings, calendar data, or a licensed dataset.
- Documented access: Prefer an official API or feed whose documentation covers your intended workflow. A browser request is not proof of a supported interface.
- Permission and downstream rights: Check whether automated collection, analysis, retention, redistribution, client delivery, and commercial use are allowed. These are distinct uses.
- Limits and identification: Follow the source’s request-rate, user-agent, authentication, and bot rules; do not evade controls by rotating identities.
- Freshness and continuity: Confirm update cadence, service commitments, and historical coverage rather than assuming a webpage or endpoint will remain unchanged.
- Data handling: Store only what you need, record where and when it was retrieved, and ensure your retention and reuse match the license.
What the Nasdaq Data Link documentation does—and does not—show
The located Nasdaq Data Link Python CLI documentation describes use of an API key, a bulkdownload command, and a table code. Its page states that the documentation would be retired on August 31, 2026, a date that has passed as of September 2026. Treat that page as potentially obsolete and verify current product documentation before relying on it. The corresponding Data Link terms say that API access and permitted use depend on the applicable order form and restrictions; a notice on that page describes updates effective November 1, 2026. Neither item establishes that Data Link supplies Nasdaq.com editorial news or grants permission to scrape Nasdaq.com.
Quick Recap
How to proceed if you need Nasdaq.com articles
- Define your use: one-time personal reading, recurring analysis, storage, republication, commercial use, or delivery to clients can raise different rights questions.
- Read the current Nasdaq terms for the relevant service and content.
- Ask Nasdaq directly whether an authorized news feed, API, or license covers your content, collection frequency, retention period, and reuse. Do not infer authorization from a working request or from unrelated product documentation.
- If you do not have authorization, do not build a scraper for that content. Use a source whose documented access and license match your purpose, or limit the workflow to official SEC filings when filings are what you need.
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