Citadel Securities Scraper

Turn Citadel Securities' website into clean, structured JSON. Extract News & Insights articles with their full body text, open jobs with structured locations, leadership profiles, and career perspectives — plus a keyword search mode and a direct-URL mode — ready for analysis, dashboards, CRMs, or LLM pipelines.

There is no official Citadel Securities API and no other Citadel scraper on the Store. This actor handles the site's Cloudflare protection for you and returns normalized rows with a single, consistent schema.

Who it's for

• Financial researchers & competitive intelligence — collect Citadel's market-structure commentary and thought leadership as full-text JSON for analysis, monitoring, or newsletters.
• AI / LLM teams — build clean, full-body article datasets for retrieval, fine-tuning, or summarization.
• Recruiters & talent intelligence — track Citadel's quant, engineering, and trading roles (title, employment type, locations) and how hiring changes over time.
• Analysts & journalists — pull the leadership roster and career-perspective stories on demand.

What you get (output fields)

Every row shares one schema; fields not relevant to a given item are null.

Field	Type	Description
data_type	string	news, career (job), leadership, page, career_perspective, or search
url	string	Canonical content URL
title	string	Article/job title (person name for leadership)
description	string	Short summary / meta description
body	string	Full article body text (news / career perspectives)
date_published / date_modified	string	ISO-8601 datetimes (news)
category / section	string	Article category / section
authors	array	Author names
word_count	integer	Article length
image	string	Lead image URL
date_posted	string	Job posting date
employment_type	string	e.g. internship, full-time (jobs)
hiring_organization	string	Hiring org (jobs)
locations	array	Structured job locations: street, city, region, postal_code, country
job_benefits / direct_apply	string / boolean	Job posting extras
name / job_title / organization	string	Leadership profile fields
kind / search_category	string	Search-result labels
language	string	en / ja-jp / zh-hans
lastmod	string	Sitemap last-modified date
scraped_at	string	ISO-8601 scrape timestamp

High-value use cases

• Thought-leadership monitoring — schedule a daily incremental run (dataType=news, since=<last run>) and pipe new articles to Slack, a newsletter, or a research database.
• LLM knowledge base — one-shot dataType=news with a high maxItems to ingest the full News & Insights archive with clean body text.
• Hiring intelligence — run dataType=jobs on a schedule to watch role counts, locations, and seniority across Citadel's offices.
• Org mapping — dataType=leadership for the current executive roster.
• Targeted research — dataType=search with a query like market structure or options to pull every matching item across content types.

Input parameters

Parameter	Type	Default	Description
dataType	enum	news	What to scrape: news, jobs, leadership, career_perspectives, search, urls
searchQuery	string	market structure	Keyword(s) for search mode
contentTypes	array	[]	Optional search filter (posts, careers, leadership, …)
startUrls	array	—	Exact URLs to fetch for urls mode
language	enum	en	en, ja-jp, zh-hans, or all
since	string	—	ISO date; only items updated on/after it (news/jobs/perspectives)
fetchDetails	boolean	true	Search: fetch full detail per result
maxItems	integer	100	Stop after this many items
proxyConfiguration	object	off	Optional Apify proxy

Example input

{
  "dataType": "news",
  "language": "en",
  "since": "2025-01-01",
  "maxItems": 50
}

Example output (one row)

{
  "data_type": "news",
  "url": "https://www.citadelsecurities.com/news-and-insights/elastic-expectations/",
  "title": "Elastic Expectations",
  "description": "…",
  "body": "Full article text …",
  "date_published": "2026-08-18T20:45:02+00:00",
  "category": "Market Structure",
  "authors": ["…"],
  "word_count": 2178,
  "image": "https://www.citadelsecurities.com/…/lead.jpg",
  "language": "en",
  "lastmod": "2026-08-18",
  "scraped_at": "2026-08-23T12:00:00+00:00"
}

Scheduling & integrations

• Schedule incremental runs (e.g. daily) from the Apify Console and set since to only fetch fresh items.
• Webhooks — trigger a downstream service on run completion.
• Export to JSON, CSV, Excel, or push to Google Sheets, Make, Zapier, or S3.
• API — start runs and pull the dataset via the Apify API.

Use it from an AI assistant (MCP)

This actor works with the Apify MCP server, so AI assistants (Claude, ChatGPT, VS Code agents) can call it as a tool — e.g. "Get the latest Citadel Securities News & Insights articles" — and receive structured rows back.

FAQ

Is there an official API? No. The WordPress REST API is disabled; this actor uses the site's public sitemaps and rendered pages.

Does it get the full article text? Yes — news and career-perspective rows include the complete body, not just a summary.

How fresh is the data? Live — every run fetches current pages. Use since for efficient incremental runs.

How many items can I get? The whole public site: hundreds of articles, ~85 open roles, and the leadership roster. Control volume with maxItems.

Do I need a proxy? Usually not. The actor bypasses Cloudflare in pure Python. Add a proxy for large or very frequent runs.

Is scraping this legal? The actor collects only publicly available pages. You are responsible for using the data in line with applicable laws and the site's terms.

Reliability? The client rotates browser TLS fingerprints to stay ahead of Cloudflare, retries transient errors, and checkpoints progress so long runs resume cleanly.