Bloomberg scraping data reviewed by two analysts on shared screens

Bloomberg Scraping

Bloomberg provides valuable financial data, but maintaining consistent access to it is complex and costly. Bloomberg scraping is not difficult to implement at a basic level, but challenging to run reliably over time. DataOx turns limited and unstable access into a continuous data stream, removing the need to build, scale, and maintain internal scraping infrastructure. You get verified, ready-to-use data instead of fragmented inputs and manual research. This means faster decisions, lower costs, and a clear competitive advantage.

Bloomberg scraping data reviewed by two analysts on shared screens

Bloomberg Scraping: Media Intelligence

Bloomberg scraping gives you access to one of the most influential sources of financial news and market signals. DataOx collects data from Bloomberg and turns it into a continuous stream of insights for media intelligence. Instead of working with isolated news items, you get a complete view of how information impacts the market.

Data sources icon - web scraping jobs from multiple job board platforms

Data Sources

Market data terminals, financial news feeds, earnings reports, economic indicators, analyst ratings, bond yields, commodity prices, foreign exchange (FX) data, and more.

Implementation timeline icon - custom data scraping project delivery schedule

Implementation timeline

Two to three weeks, depending on the volume and complexity of the data sources. You can get in touch with our data specialists for a more accurate estimate that is customized for your requirements.

The Benefits of Bloomberg Scraping

The market does not wait for you to manually collect and process data. Those who move faster and spot signals before others are the ones who win. Here, success is not about having more data, but about receiving it faster and in a more complete form. This is what makes the real difference in results.

23x

Companies that actively use data are 23 times more likely to acquire customers (McKinsey). Bloomberg scraping allows you to collect data on market trends and behavior in real time, instead of relying on manual processes or attempting to export Bloomberg data to Excel. A Bloomberg scraper gives you access to signals that directly drive demand growth.

19x

Data-driven companies are 19 times more likely to remain profitable (McKinsey). Using Bloomberg scraping, businesses can collect data and integrate it into their workflows. There is no longer a need to ask how to export data from Bloomberg to Excel. A Bloomberg scraper allows you to work with a complete view of the market without routine manual work.

63%

Companies that implement a data-driven approach can increase productivity by up to 63%. Bloomberg scraping allows you to collect data from financial markets without delays, giving teams faster access to actionable insights.

+80%

Automating data collection can save up to 80% of the time teams spend searching for and preparing information. Instead of manually exporting data from Bloomberg to Excel, you can collect data through Bloomberg scraping automatically.

A Reliable Partner For Bloomberg Scraping

A Reliable Partner For Bloomberg Scraping

Bloomberg’s monthly limits, with no way to bypass them, and the rapid pace of financial signals mean one thing: if you don’t collect data right away, you lose it. DataOx solves this through managed scraping pipelines that run continuously, overcoming restrictions through IP rotation, session management, and a stable infrastructure.

Real-Time Market Data Monitoring

Historical Data Collection And Analysis

Track Financial News And Sentiment

Competitive Intelligence

Data Delivery And Integration

Custom Bloomberg Data Solutions

Real-Time Market Data Monitoring

Get financial data and market signals the moment they are updated

DataOx aggregates Bloomberg data in real time, giving you instant access to price changes and breaking financial news.

Collect market data

Receive regular data updates

Monitor financial news continuously

Identify volatility and market anomalies

Track asset performance in real time

Receive notifications of critical events

Historical Data Collection And Analysis

Access long-term market data for deep analysis and modeling

DataOx enables you to collect data from historical Bloomberg datasets for forecasting and long-term market analysis.

Collect historical data

Track long-term trends

Aggregate data for quantitative modeling

Build multi-year datasets

Update historical data continuously

Track Financial News And Sentiment

Turn Bloomberg news into actionable signals

With Bloomberg news scraper capabilities, DataOx collects data from the platform and delivers it to your system ready to use.

Collect financial news articles

Collect article headlines

Monitor breaking news

Track sentiment across industries

Identify market-influencing narratives

Extract key topics

Monitor company-specific news signals

Competitive Intelligence

Gain full visibility into competitor activity

Bloomberg scraping allows you to collect data on market players and build a complete view of the competitive landscape.

Track competitor performance

Track financial metrics

Monitor market positioning

Collect macroeconomic data

Analyze asset movements across markets

Monitor investment flows

Data Delivery And Integration

Deliver Bloomberg data to your systems without unnecessary complexity

DataOx turns Bloomberg scraping into a continuous data pipeline, delivering data directly in the format you need.

Deliver data via API, JSON, CSV, or Excel

Integrate with business intelligence tools

Automate data pipelines

Schedule data delivery

Ensure data validation and quality control

Scale data flow based on your needs

Custom Bloomberg Data Solutions

Build data flows tailored to your business needs

DataOx develops custom Bloomberg scraping solutions tailored to your requirements and business goals.

Design flexible data collection logic

Build scalable scraping architecture

Support complex and restricted data sources

Maintain and update scrapers continuously

Optimize scraper performance

A Reliable Partner For Bloomberg Scraping

Bloomberg’s monthly limits, with no way to bypass them, and the rapid pace of financial signals mean one thing: if you don’t collect data right away, you lose it. DataOx solves this through managed scraping pipelines that run continuously, overcoming restrictions through IP rotation, session management, and a stable infrastructure.

Real-Time Market Data Monitoring

Get financial data and market signals the moment they are updated

DataOx aggregates Bloomberg data in real time, giving you instant access to price changes and breaking financial news.

Collect market data

Receive regular data updates

Monitor financial news continuously

Identify volatility and market anomalies

Track asset performance in real time

Receive notifications of critical events

Historical Data Collection And Analysis

Access long-term market data for deep analysis and modeling

DataOx enables you to collect data from historical Bloomberg datasets for forecasting and long-term market analysis.

Collect historical data

Track long-term trends

Aggregate data for quantitative modeling

Build multi-year datasets

Update historical data continuously

Track Financial News And Sentiment

Turn Bloomberg news into actionable signals

With Bloomberg news scraper capabilities, DataOx collects data from the platform and delivers it to your system ready to use.

Collect financial news articles

Collect article headlines

Monitor breaking news

Track sentiment across industries

Identify market-influencing narratives

Extract key topics

Monitor company-specific news signals

Competitive Intelligence

Gain full visibility into competitor activity

Bloomberg scraping allows you to collect data on market players and build a complete view of the competitive landscape.

Track competitor performance

Track financial metrics

Monitor market positioning

Collect macroeconomic data

Analyze asset movements across markets

Monitor investment flows

Data Delivery And Integration

Deliver Bloomberg data to your systems without unnecessary complexity

DataOx turns Bloomberg scraping into a continuous data pipeline, delivering data directly in the format you need.

Deliver data via API, JSON, CSV, or Excel

Integrate with business intelligence tools

Automate data pipelines

Schedule data delivery

Ensure data validation and quality control

Scale data flow based on your needs

Custom Bloomberg Data Solutions

Build data flows tailored to your business needs

DataOx develops custom Bloomberg scraping solutions tailored to your requirements and business goals.

Design flexible data collection logic

Build scalable scraping architecture

Support complex and restricted data sources

Maintain and update scrapers continuously

Optimize scraper performance

Who We Serve

Bloomberg scraping for financial data platforms

Financial Data

Platforms

MARKET RESEARCH FIRMS 4

Investment Research

Firms

export Bloomberg data to Excel for quantitative trading teams

Quantitative Trading

Teams

how to export data from Bloomberg to Excel for fintech companies

Fintech Product

Companies

Bloomberg news scraper for hedge funds and asset managers

Hedge Funds & Asset

Managers

export data from Bloomberg to Excel for market intelligence tools

Market Intelligence

Tools

how to export Bloomberg data to Excel for economic research institutions

Economic Research

Institutions

scrape Bloomberg data for risk and compliance teams

Risk & Compliance

Teams

Need Reliable Data Delivery That Scales? Let’s Talk!

From initial data requirements analysis to fully automated delivery pipelines, our team handles the complete data extraction and processing workflow. Stop wasting time on manual data collection and start making data-driven decisions faster.

Discuss my needs

Scrape data from Bloomberg, feed your systems

Stop manually collecting data or trying to figure out how to export Bloomberg data to Excel. DataOx automatically collects data and feeds it directly into your systems, so you can act without delay based on up-to-date market information.

Bloomberg
CSV file icon – Data scraping jobs delivered in CSV format for easy spreadsheet analysis
CSV
XLSX file icon – Web scraping job data with Excel file delivery for workforce analytics
XLSX
JSON file icon – Job scraping API providing structured, API-ready data for automation
JSON
XML file icon – Custom web scraping jobs outputting data
XML
Database icon – Scraped data stored in structured databases for reliable querying and long-term access.
Database
CRM icon – Scrape jobs from the internet and integrate data into CRM
CRM
Dashboards icon – Job scraping software feeding dashboards for business
Dashboards
Analytics icon – Web scraping jobs data powering workforce analytics and HR platforms
Analytics
Insights icon – Data scraping jobs delivering actionable insights for business decision-making
Insights
API icon – Job scraping API for custom endpoints to extract and automate
API
Email icon – регулярні email deliveries of scraped datasets and status notifications.
Email

use cases

Market Signal Detection Before Competitors Act

When news of a rate change or sanctions breaks, the market reacts within minutes.

Those who collect data through Bloomberg scraping have time to adjust their positions before the price movement becomes obvious to everyone. In finance, the difference between “seeing” and “seeing earlier” is the difference between missing profit and capturing it.

Quantitative Models That Actually Work

Models built on partial data produce indecipherable noise.

When a team uses a Bloomberg scraper, they can collect data on prices, news, and macro factors in a single stream. This makes models more stable and suitable for real-world use. The quality of a model always starts with the quality of the data.

Investment Decisions Based On Full Market Context

Analyzing a company only through financial statements leaves out news, market sentiment, and external factors.

Bloomberg scraping allows you to collect data from all of these sources at once, giving you a complete view of the market. This is critical for reducing risk.

Competitor And Market Moves Tracking

The movements of major players rarely go unnoticed. They are simply not immediately obvious.

Through Bloomberg scraping, you can collect data on position changes, investment flows, and market activity before these signals become widely visible. In these conditions, decisions are made at the right time, not after the fact.

Media Intelligence That Impacts Prices

Financial news often triggers price movements.

Using a Bloomberg news scraper, teams can collect data from news sources, where information is not just content, but a signal.

Automated Data Pipelines Instead Of Manual Processes

Daily export of data from Bloomberg to Excel creates delays and errors.

When DataOx allows you to collect data automatically, information flows directly into your systems, allowing you to focus on analytics and strategy instead of manual work.

Bloomberg scraping data sources and financial news providers

Data categories we scrape from Bloomberg

Asset prices & quotes

Market indices

Earnings reports

Analyst ratings & forecasts

Bond yields & spreads

Economic indicators

Company financials

Dividend data

Currency & FX rates

Commodity prices

Trading volume

News & market sentiment

Bloomberg scraping results delivered as a ready-to-use dataset

8 Years of Uninterrupted Growth: How We Built the Ultimate AI Recruitment Platform from Scratch

Challenge

Discovered as the recruitment automation company needed to develop and scale AI-powered tools for small and mid-sized businesses. The core product – a customizable interview guide generator – required continuous development, enhancement, and strategic technical implementation to stay competitive in the rapidly evolving HR tech market.

Solution

Services delivered

Data Services:

  • Data integration
  • IDP (Intelligent document processing)

ATS (application tracking system) development

Development services:

  • API development
  • Full-stack Custom SaaS development
  • AI-driven behavior automation implementation
  • Continuous platform enhancement and maintenance
  • Advanced onboarding system development
Data engineer working on AI recruitment platform using custom web scraping jobs for talent sourcing
Fletcher Wimbush CEO of discovered.ai using web scraping services and custom data extraction solutions

fletcher wimbush

Founder & CEO

client priority

Team stability and dedicated support – ensuring consistent development team throughout the 8+ year partnership

Results

Platform Scale & Performance:

  • 900K+ candidates in the system with 780K resumes
  • 3.8K active job openings from 20K total posted
  • 2.5K active client companies with 1K new companies added annually
  • 3TB of data storage (AWS S3) supporting massive operations
  • 120K assessments completed in the last year
  • 20K video interviews conducted and processed

CHOOSE YOUR FINANCIAL NEWS & MARKET DATA SOURCES TO SCRAPE

    Bloomberg

    Bloomberg

    Reuters

    Reuters

    Financial Times

    Financial Times

    Wall Street Journal logo — WSJ market data scraping source

    Wall Street Journal

    CNBC logo — CNBC financial news scraping source

    CNBC

    MarketWatch logo — MarketWatch market data scraping source

    MarketWatch

    Seeking Alpha

    Seeking Alpha

    Investing.com logo — Investing.com financial data scraping source

    Investing.com

    Yahoo Finance logo — Yahoo Finance market data scraping source

    Yahoo Finance

    Benzinga logo — Benzinga news scraping source

    Benzinga

    Morningstar logo — Morningstar fund data scraping source

    Morningstar

    Business Insider logo — Business Insider financial content scraping source

    Business Insider

    The Economist logo — The Economist economic data scraping source

    The Economist

    Forbes logo — Forbes financial coverage scraping source

    Forbes

    Barron's logo — Barron's investment analysis scraping source

    Barron's

    Custom icon – Web scraping jobs from any specified data source for recruitment or analytics

    Custom

    Get a Quote

    our simple 5-step process

    Getting started with DataOx.

    Step 1

    Send Us a Request

    Choose the Most Convenient Way to Reach Us

    You can contact us through the channel that works best for you:

    Send request illustration
    Contacting DataOx for web scraping services via WhatsApp email or phone for custom data extraction

    Email sales@data-ox.com or any contact button on our website. Our average response time is 2-4 hours during business days.

    Schedule a call directly through our Calendly – the quickest way to discuss your data requirements and project scope.

    Schedule a call directly through our Calendly – the quickest way to discuss your data requirements and project scope.

    WhatsApp for quick questions

    WhatsApp for quick questions or to start the conversation about your project needs.

    Step 2

    Discuss Your Requirements (+ NDA IF NEEDED)

    We Listen to Understand Your Needs

    During our initial conversation, we focus on understanding your specific data requirements, business goals, and expected outcomes. For sensitive projects, we can sign an NDA before diving into details. We ask targeted questions to clarify scope and identify the best approach for your project.

    Contacting DataOx for web scraping services
    Contacting DataOx for web scraping services via WhatsApp email or phone for custom data extraction

    What data you need and from which sources

    Discussing web scraping requirements with DataOx experts for custom data extraction and automated collection

    Your timeline and delivery preferences

    Receiving detailed proposal for web scraping services with timeline scope and pricing for data extraction

    Technical requirements and integrations

    Contract and project kickoff for web scraping services with dedicated team for custom data extraction

    Budget considerations and project scope

    NDA and confidentiality

    NDA and confidentiality (optional)

    Step 3

    Receive Your Proposal

    Clear Scope, Timeline, and Pricing

    You’ll receive a detailed proposal with everything you need to make an informed decision:

    Step 3: Receiving detailed proposal for web scraping services with timeline scope and pricing for data extraction
    Project scope and deliverables

    Project scope and deliverables

    Technical approach and methodology

    Technical approach and methodology

    Timeline with key milestones

    Timeline with key milestones

    Fixed pricing with no hidden costs

    Fixed pricing with no hidden costs

    Data delivery format and schedule

    Data delivery format and schedule

    Step 4

    Contract & Project Kickoff

    Let's Make It Official and Start Building

    Once you approve the proposal, we’ll sign the service agreement and introduce your dedicated project manager. Our team will be assembled and ready to start up to 10 days.

    Step 4: Contract and project kickoff for web scraping services with dedicated team for custom data extraction

    Step 5

    Delivery & Ongoing Support

    Reliable Results and Long-term Partnership

    We deliver your data solution on time, with full documentation and support. Our relationship doesn’t end at delivery – we provide ongoing maintenance and optimization as your business grows.

    Automated data delivery and ongoing support for reliable web scraping services and long-term partnership

    why companies choose dataox for bloomberg scraping

    scrapers that never sleep

    100% uptime guarantee and stable data delivery with DataOx scraping services

    Reuters drops a story at 2 AM on Sunday? We already extracted it.

    100% uptime guarantee and stable data delivery with DataOx scraping services

    transparent pricing from day one

    Reliable and accurate data delivery through automation and QA

    We quote the full cost upfront when you sign. Hidden fees never show up later.

    Reliable and accurate data delivery through automation and QA

    your content stays yours

    Strategic partnership and proactive problem-solving — DataOx client support

    NDAs lock down everything we collect. Nobody sees your article databases or search patterns.

    Strategic partnership and proactive problem-solving — DataOx client support

    we know news platforms

    Scalable web scraping with cost-effective pricing model

    Ten years scraping CNN and BBC taught us their layout patterns. We fix changes quickly.

    Scalable web scraping with cost-effective pricing model

    proactive partnership, not just service

    Vehicle Insurance Data Scraping

    We don’t just listen — we actively help solve your challenges. Our team anticipates issues and provides strategic guidance throughout the project.

    Vehicle Insurance Data Scraping

    our clients don’t hunt for articles, they use them

    We run the scrapers – you run the analysis. Your people don`t waste hours clicking and saving anymore.

    Data automation instead of manual work — DataOx core advantage

    trusted by clients who value data security

    For full details, visit our Privacy Policy

    SSL encryption ensures secure data transfers

    SSL Secured

    We follow GDPR-inspired best practices for responsible data handling

    GDPR Ready

    Transparent data use aligned with CCPA principles

    CCPA Aware

    Clear privacy policy and consent-based data collection

    Transparent Data Use

    trusted technologies behind our data solutions

    core languages

    Python logo - Web scraping with Python for custom data solutions

    Python

    Java logo - data scraping company enterprise technology for scalable web scrapers

    Java

    JavaScript logo - custom web scraping services for dynamic web scraping solutions

    Java Script

    web scraping & crawling

    Playwright

    Playwright

    jsoup 1

    jsoup

    Scrapy

    Scrapy

    Selenium logo - data scraping services tool for custom web scraping services

    Selenium

    Puppeteer

    Puppeteer

    data processing & enrichment

    Pandas logo - data scraping company tool for processing extracted structured data

    Pandas

    NumPy logo - custom data solutions for numerical data processing workflows

    NumPy

    Dask logo - scalable web scrapers for large-scale data scraping services

    Dask

    PySpark logo - data scraping services for big data and extract structured data

    PySpark

    OpenRefine logo - data scraping company tool for cleaning extracted structured data

    Open Refine

    GPT API logo - custom data services using AI for tailored data solutions

    GPT API

    Clearbit logo - integrated data services for business data enrichment

    Clearbit

    system integration & apis

    FastAPI

    FastAPI

    Spring Boot

    Spring Boot

    Kafka

    Kafka

    RabbitMQ logo - integrated data services message queue for data delivery pipelines

    RabbitMQ

    REST

    REST

    GraphQL

    GraphQL

    document & ticket automation

    Tesseract

    Tesseract

    pdfminer

    pdfminer

    Camelot

    Camelot

    PDFBox

    2Captcha

    2Captcha

    Amadeus API

    Amadeus API

    Eventbrite API

    Eventbrite API

    custom data visualization

    Plotly

    Plotly

    Streamlit

    Streamlit

    Seaborn

    Seaborn

    Matplotlib

    Matplotlib

    Bokeh

    Bokeh

    Altair

    Altair

    D3.js

    D3.js

    Chart.js

    Chart.js

    Highcharts

    Highcharts

    cloud & delivery infrastructure

    AWS

    AWS

    Docker

    Docker

    GitHub Actions

    GitHub Actions

    Redis

    Redis

    PostgreSQL

    PostgreSQL

    Firebase

    Firebase

    Heroku

    Heroku

    what our clients say about us

    I’ve worked with Vladislav and DataOx twice now and have been impressed both times. They don’t just do everything they committed to do — on time and on budget — but they go above and beyond. On this second project, they showed initiative and added something they suspected I would want. They were right. I cannot recommend him and them any more enthusiastically. I’m a big fan.

    Photo of jeff leitner

    jeff leitner

    March 13, 2026

    We worked with the DataOx team on a complex internal project that involved building a custom software solution with Slack Bot integration, sophisticated server-side logic, and automated API workflows. The system needed to fetch, process, and store data in an intermediate database, and—only if specific conditions were met—push that data through additional APIs to our target software. It was no small task.
    So far, everything is running flawlessly, and we couldn’t be more satisfied. Their communication was consistently sharp, fast, and proactive—so fast, in fact, we sometimes had to catch up with them! Whether it was refining a feature, squashing a bug, or adjusting requirements on the fly, the team was always on it.

    What really stood out was the professionalism: we had a dedicated, experienced project manager who kept everything aligned and moving smoothly. DataOx truly listens, understands your needs, and delivers high-quality work with precision.

    If we could give 10 stars, we would. Highly recommend this outstanding team—and we’re definitely looking forward to working with them again!

    Photo of ilia sokolovskiy

    ilia sokolovskiy

    March 13, 2026

    We’re a UK based operation, and have worked on a couple of projects with DataOX over the last two years. I’ve been impressed with every project, as they’ve been delivered to the spec I’ve requested, alongside all the changes I asked for along the way.

    I was initially concerned about whether there would be a language barrier, but the developers, business leads and representatives of the company communicate in excellent English.

    We’ll continue to work with DataOX on projects in the future, and I’d highly recommend them to anybody reading this!

    andrew napier

    March 13, 2026

    Prompt. Got Job Done exactly how we wanted. Communicated clearly with the team about expectations and deadlines.

    Photo of mike goetsch

    mike goetsch

    March 13, 2026

    High Quality, fast data scraping from the team at DataOx. Very communicative and always proactive in understanding requirements before starting the work. Used multiple times, and will be using in the future!

    Photo of andrew haynes

    andrew haynes

    March 13, 2026

    Both the quality and the speed of delivery were awesome, and the communication along the way with our project manager and sales leader was perfect. They were both good at eliminating ambiguity in our requirements which resulted in a delivery we are very happy with.

    Photo of josh albrechtsen

    josh albrechtsen

    March 13, 2026

    I worked with DataOx on a data scraping. everything was done on time and with high quality. Vladislav and his team showed a high level of professionalism and attention to detail. I recommend DataOx to anyone looking for reliable specialists in web scraping!

    Photo of olim rakhmatov

    olim rakhmatov

    March 13, 2026

    These guys are simply the greatest. They are timely and accurate in their work, they communicate quickly, and I feel they genuinely understand and care for our needs. Whatever we have asked for, they have delivered. They made us a web scraper and automated many processes for our webshop. We started working together with Andrew and Bogdan in November 2022, and they are a delight to work with. Bogdan as our project leader, has been great! We will continue to work with DataOx for our projects.

    Photo of petter trønsdal

    petter trønsdal

    March 13, 2026

    COMMON QUESTIONS ABOUT BLOOMBERG SCRAPING

    What is Bloomberg Scraping?

    Bloomberg scraping is an automated data collection method that allows companies to work with financial data in real time and at scale. With DataOx Bloomberg scraping, you don’t just collect data: you get it continuously, ready to use in your systems.

    Why do companies scrape Bloomberg data?

    For many teams, the starting point is a simple question: how to export Bloomberg data to Excel. Bloomberg scraping is the scalable answer. Automated pipelines replace manual export entirely. Companies use Bloomberg scraping to access real-time market signals. Timely data impacts trading, risk management, and strategy. DataOx collects data automatically, so you get data without delay.

    Is it legal to scrape Bloomberg?

    Bloomberg scraping must comply with the platform’s data usage policies. DataOx adheres to responsible data collection practices and creates solutions that minimize risk. And you get constant access to the data your business needs.

    Why is it so hard to collect data from Bloomberg?

    Bloomberg data is protected by subscriptions, API restrictions, and access controls. Much of the valuable data is not publicly available. DataOx doesn’t just collect data. It also maintains access to it. It does so using a managed infrastructure: a set of automated processes that support authorization, manage requests, and adapt to platform constraints. This ensures that data is not blocked or lost even under strict access conditions.

    Can I collect data from Bloomberg in real time?

    DataOx allows you to collect data from Bloomberg in real time by running continuous pipelines that collect data as it appears on the platform.

    How do I export data from Bloomberg to Excel?

    Manually exporting data from Bloomberg to Excel is possible, but the number of attempts to export Bloomberg data to Excel are limited, slow, and don’t scale for large datasets or real-time needs. DataOx automatically collects data and delivers it directly to your systems in a convenient format, so you don’t have to figure out how to export data from Bloomberg to Excel.

    What data can you collect from Bloomberg?

    You can collect financial news, stock quotes, market indicators, company data, and economic signals from Bloomberg. DataOx provides datasets, combining current and historical data into a single, continuous stream.

      Get a cost estimate for Bloomberg Scraping

      Please answer a few questions about your data needs, and our experts will get back to you with a custom cost estimate.

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