This open dataset contains curated contact information for media professionals across North America, covering the period 2019-2022. It includes journalists, editors, producers, assignment directors, and program directors from consumer magazines, television networks, radio stations, and national newspapers in the United States and Ontario, Canada.

🔍 Key Fields Included

Identity: First/Last Name, Professional Title/Roles
Contact: Email Address, Phone Number, Street Address, City, State/Region, ZIP, Country
Professional: Media Outlet/Source, Beats/Topics Covered, Membership Info
Social: Twitter/X handle, LinkedIn profile URL
Compliance: "OK to contact?" consent indicator (where available)

🔁 Updates & Commercial Versions

This free dataset reflects historical snapshots (2019-2022).

✅ For verified, updated, and enriched commercial datasets with firmographics, intent signals, and compliance-ready fields:
👉 https://MediumAxis.com

Recent commercial information and business intelligence datasets can be obtained at https://MediumAxis.com

📬 Feedback & Contributions

Found an error? Have suggestions? Open an issue or contact the maintainer.
Note: This dataset is not actively maintained; for current data, visit MediumAxis.com.

📄 License

This dataset is licensed under CC BY 4.0. You are free to share and adapt the material, even commercially, as long as you provide appropriate attribution.

🙏 Acknowledgements

Data compiled from publicly available professional sources. All contact information is intended for legitimate business and research outreach only.

🎯 Intended Use Cases

Academic research on media landscapes and journalism networks
PR professionals seeking appropriate media contacts for press outreach
Media studies analyzing beat coverage, geographic distribution, or outlet diversity
Non-commercial projects requiring historical media contact references

⚠️ Ethical Use & Compliance Notice

This dataset is provided for research, educational, and legitimate business outreach purposes only. Users must comply with applicable privacy regulations including GDPR, CAN-SPAM Act, CASL (Canada), and platform-specific terms of service. Always respect "OK to contact?" indicators and honor opt-out requests. Do not use for spam, harassment, or unauthorized commercial scraping. Verify contact details before outreach, as information may be outdated post-2022.

📦 Dataset Summary

Metric	Value
Time Period	2019–2022
Geographic Coverage	United States, Ontario (Canada)
Media Types	Magazines, TV, Radio, Newspapers
Total Files	8 CSV files
Approx. Records	~4,500+ media professionals
Format	UTF-8 CSV, comma-delimited, LF line endings

🗂️ File Descriptions

Filename	Description
`2019_Top_Consumer_Magazines_287.csv`	Contact details for 287 journalists and editors at top U.S. consumer magazines (2019), including beats, social profiles, and consent status.
`2019_TV_Contacts_2062.csv`	2,062 television industry contacts (reporters, producers, anchors) across U.S. local and national TV stations with pitch guidance and beat coverage.
`Canada_Ontario_Magazines_295.csv`	295 media professionals from Ontario-based magazines, featuring roles, publication sources, and geographic/contact metadata.
`Canada_Ontario_Newspaper_Journalists_pt1_389.csv`	First-part dataset of 389 newspaper journalists and contributors in Ontario, Canada, with beats, outlets, and professional social links.
`Newspapers-NationalNews.csv`	National news correspondents and staff writers from major U.S. newspapers, including detailed professional bios and bureau assignments.
`RadioProgramDirectors685.csv`	685 radio program directors, operations managers, and station executives with contact info, company metadata, and engagement timestamps.
`US_National_News_Assignment_Editors_News_Directors_262.csv`	262 assignment editors and news directors at U.S. radio/TV outlets, specializing in local, national, and regional news coverage.
`US_National_TV_Producers_First_567.csv`	567 television producers from U.S. national and local broadcasts, with beat specializations, outlet affiliations, and outreach permissions.

🗂️ How to Use

import pandas as pd

# Load any file
df = pd.read_csv("2019_Top_Consumer_Magazines_287.csv", encoding="utf-8")

# Filter by beat or location
journalists = df[df["Beats"].str.contains("Politics", case=False, na=False)]
ontario_contacts = df[df["Country"] == "Canada"]

# Export filtered results
journalists[["First Name", "Last Name", "Email Address"]].to_csv("politics_journalists.csv", index=False)

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