Journalist, Podcast & Creator Pitch Dossier Generator

Researches what a journalist, podcaster, or creator covered in the last 30 days and returns their recent topics, strong opinions, a tailored pitch subject line, and a personalized opening hook.

Built for PR agencies, podcast guest-booking teams, founders pitching themselves as guests, and creator marketers doing media list research and personalized pitching.

Who it's for

• PR agencies and in-house comms teams pitching stories and spokespeople
• Podcast guest-booking agencies and founders pitching themselves as guests
• Startup founders doing their own press outreach
• Creator and influencer marketers reaching out for collaborations

What you get for each target

Field	What it is
creator_or_journalist_name, publication_or_show	Who was researched
recent_topics_covered	3–5 specific stories, episodes, or posts from the last 30 days, with approximate dates
contrarian_or_strong_opinions	Professional takes they've expressed recently on their beat
recent_work_urls	Links to the work that was found
tailored_pitch_subject_line	Under 70 characters, specific, no clickbait
personalized_opening_hook	1–2 sentences tying their recent work to your pitch
has_recent_signal	true if specific recent work was found
charged	false when no recent work was found (you are not billed)
cached_result	true if served from the 24-hour cache

Hooks stick to their professional work. Personal life, family, health, and politics are left out unless that's literally their beat.

How to use it

1. Add targets as {"name", "publication_or_show", "x_handle"}. Each needs a name or an X handle.
2. Describe what you're pitching (a guest, story, dataset, or product).
3. Run it, then paste the subject line and hook into your email tool and finish the pitch yourself.

Example input

{
  "targets": [
    { "name": "Casey Newton", "publication_or_show": "Platformer / Hard Fork", "x_handle": "CaseyNewton" },
    { "name": "Lenny Rachitsky", "publication_or_show": "Lenny's Podcast", "x_handle": "lennysan" }
  ],
  "pitch_context": "Our founder can share original data on how small teams are using AI agents to replace SaaS tools",
  "use_cache": true
}

Example output

Real results from test runs on Oct 21–22, 2026, shortened for display:

Target	Outlet / show	A recent topic found	Subject line	Charged
Lenny Rachitsky	Lenny's Podcast	"Why every company now needs to think and operate like a lab team" with Josh Woodward (Oct 11, 2026)	Original data: 400 small teams replacing SaaS with AI agents	yes
Packy McCormick	Not Boring	Weekly Dose of Optimism #215 (Oct 16, 2026)	Survey Data: Small Teams Swapping SaaS for AI Agents	yes
Casey Newton	Platformer / Hard Fork	"The states come for OpenAI" (Oct 15, 2026)	AI liability expert for state OpenAI suits coverage	yes

Example hook (Lenny Rachitsky): "Your recent episodes on Meta's Muse agent and Google Labs' experimental approach highlight how teams are rethinking tools in the AI era."

Pricing

Pay-per-event: $0.10 per pitch dossier (event pitch-dossier), charged only when recent work is found, plus a negligible Apify start fee. No charge when nothing real is found: targets with no findable recent work, and failed lookups, are returned free with charged: false. Use maximum cost per run to cap spend.

Free Apify plan users can research up to 3 targets per run.

Pairs well with

• Live X & Web B2B Lead Enricher + Cold Email Icebreaker: once you know which accounts to work, enrich the people there with a personalized, recent-activity icebreaker ($0.10 per enriched lead).
• B2B Trigger Event Radar: find which accounts have a live buying signal (funding, exec hires, launches, hiring sprees) before you prospect them ($0.05 per triggered account; quiet accounts free).

Integrations

• Apify API: start runs and fetch results with the REST API or the run-sync-get-dataset-items endpoint (JavaScript and Python clients available).
• Zapier, Make, and n8n: use the official Apify apps/nodes to run this Actor from a workflow and push results to your CRM, sheet, or email tool.
• Webhooks: get notified when a run finishes and pull the dataset automatically.
• AI agents: AI assistants and agents can call this Actor as a tool through the Apify MCP server.
• Exports: download results as JSON, CSV, Excel, or HTML from the Console.

Tips for better results

• Include the X handle and outlet. They're the strongest disambiguation signals.
• A specific pitch ("original survey data on X") produces much better hooks than "our startup".
• Always read the cited work before you send. A hook only lands if you've actually read the piece.
• Keep the 24-hour cache on to avoid paying twice for the same target and pitch.

FAQ

Where does the data come from? Public articles, newsletters, podcast listings, and X posts, researched live at run time.

Does it find email addresses? No. Use your media database or email finder for contact details.

Will it invent articles? It's instructed to cite only work it actually found. When it finds nothing recent, the row is marked has_recent_signal: false and you aren't charged.

Is it compliant? It only uses publicly available information. Follow anti-spam laws (CAN-SPAM, GDPR, etc.) and each outlet's pitching guidelines.

Support

Found a bug or want a feature? Open an issue on the Actor's Issues tab and I'll respond quickly.