What is Listen Notes? Podcast search explained

What is Listen Notes? Listen Notes is a podcast search engine and podcast-data company. It helps people find public podcasts and episodes, save listening lists, monitor new episodes for keywords, and access podcast data through paid research tools, an API, or datasets. It is not a first-party analytics dashboard for measuring your own show's verified downloads or retention.

The product name covers several distinct services. Listeners can search the free site. PR teams can use Premium for deeper research. Monitoring teams can create keyword alerts. Developers can use the API, while data teams can buy batch exports.

What is Listen Notes used for?

The free Listen Notes website searches podcasts and episodes across the public podcast ecosystem. You can discover shows and build Listen Later playlists. The site also supports clips and playlist subscriptions through RSS.

For podcasters and marketers, the practical value is episode-level research. A search can reveal which shows have covered a person, company, product category, or narrow subject. That helps with guest research, media monitoring, competitive review, and content planning.

The database is also useful when a show title is ambiguous. Searching by an RSS feed, Apple Podcasts identifier, or Spotify identifier can separate similarly named podcasts. Premium makes those identifier searches and more advanced filters available in the manual research interface.

How Listen Notes search works

Listen Notes indexes public RSS-based podcast and episode information. Its official product documentation says search can cover titles, descriptions, publishers or authors, and available audio content. The service also offers discovery tools such as related podcasts, editor-selected lists, playlists, and popularity signals.

A useful research sequence looks like this:

1. Search the exact subject, person, or organization.
2. Narrow results by the filters that fit the assignment.
3. Open recent episodes and inspect the show description, publisher, and release pattern.
4. Follow the show's own website or contact route before making a pitch or claim.
5. Save the result in a list, report, or external workflow with the source URL attached.

Search results show that a term appears in the indexed material. They do not prove editorial interest, guest availability, or a current contact relationship. If guest outreach is your goal, use the result as research and follow a careful booking process. Our DIY podcast booking guide explains that next step.

Listen Score is a popularity estimate

Listen Notes displays Listen Score for some podcasts. The company's documentation defines it as a relative popularity estimate on a 0 to 100 scale compared with other public RSS-based podcasts. Scores can change over time, and some shows do not receive one when the available data is insufficient.

Do not convert Listen Score into a download claim. A score of 60 does not mean 60 downloads, a 60 percent audience share, or a verified audience size. It is a ranking signal under Listen Notes' method.

This differs from the server-side and platform data used to evaluate a show you publish. Podcast audience measurement tools explains the distinction between hosting data, prefix measurement, listening-platform reports, and estimates from external research products.

Premium Membership supports deeper manual research

Listen Notes Premium adds Super Search, advanced filters, more results, RSS and platform-identifier searches, access to classified opportunities, and team accounts. The public FAQ lists monthly billing at US $140. It also offers short daily access, although the exact daily fee was not publicly visible without entering the purchase interface.

Listen Notes presents the Podcast API and Podcast Datasets as separate commercial products. Premium is for people researching in the website, while the API and datasets serve automated or bulk-data jobs.

Premium fits a publicist, researcher, journalist, marketer, or podcaster who repeats complex searches and needs more results than the free interface provides. Before subscribing, run a few representative free searches and write down which limits block the work. Then verify that the paid features remove those specific limits.

Listen Alerts monitors new episode mentions

Listen Alerts watches newly indexed podcast episodes for chosen keywords. The official page lists notification through a daily email digest, a per-keyword RSS feed, and integrations through services such as Zapier and IFTTT.

This can support brand monitoring, guest-appearance tracking, topic research, or follow-up after a launch. A narrow phrase often produces a cleaner alert than a common single word. Review the first results, add exclusions where the tool permits them, and route each useful mention to a named owner.

An alert reports a detected mention. It does not tell you whether the mention was favorable, whether a person said it, or whether the episode drove a result. Open the episode context before classifying it. The public page we reviewed did not expose a standalone alert price, so check the current purchase flow for your intended volume.

The Podcast API serves applications and automations

The Listen Notes Podcast API gives developers structured podcast and episode search, metadata, recommendations, and directory functions. It is separate from Premium Membership.

The current API pricing page lists a free tier with 150 requests per month. The Pro plan charges a $200 base fee when at least one request is used in a month. That fee includes the first 5,000 requests, followed by tiered overage pricing. Enterprise pricing requires a sales conversation.

The API fits an application that needs podcast search or metadata inside its own interface. It can also support internal research tools. Before building around it, test the exact endpoints, fields, update behavior, error handling, and monthly request volume. Keep API-derived estimates labeled and retain the source identifiers needed to refresh a record.

Podcast Datasets support batch analysis

Podcast Datasets serves data teams that need files rather than interactive search or request-by-request API calls. Listen Notes offers CSV exports for selected subsets and SQLite database dumps for larger offline work.

The page lists selection by keyword, category, playlist, and Apple Podcasts identifiers, along with broader exports. Pricing depends on the requested data and delivery arrangement. There is no single public flat price that applies to every dataset order.

Choose a dataset when you need a reproducible snapshot, many local joins, or analysis that would consume too many API calls. The API fits current lookups inside an application. Premium fits a person who needs to investigate candidates manually.

What Listen Notes does not replace

Listen Notes does not replace a hosting dashboard, a measurement prefix, or listening-platform analytics for a show you control. Public metadata and relative popularity estimates answer discovery questions. They do not establish verified downloads, retention, completion, or listener identity.

If your goal is to understand your own performance, start with the podcast analytics guide and document where each metric comes from. Our guide to measuring podcast downloads covers server requests, filtering, and why totals from separate systems can differ.

Listen Notes also does not guarantee that a show accepts guests or sponsorships. Search can surface a likely candidate, but the show's official pages and recent episodes establish the current route and editorial fit.

Who should use Listen Notes?

Use the free site for occasional discovery, playlist building, and light research. Premium fits repeated manual searches where advanced filters, more results, team access, or identifier searches save meaningful time. Listen Alerts fits recurring mention monitoring. The API and datasets fit software or analysis work.

Pick the narrowest layer that completes the job. API capacity may be wasteful for a researcher who works entirely in a browser, while Premium will not serve a bulk-data workflow.

Want verified audience and delivery reporting for the podcast you publish? Create a Podder Analytics account to start.

FAQ

What is Listen Notes?

Listen Notes is a podcast search engine, database, and data company. Its products cover public search and discovery, advanced manual research, keyword alerts, an API, and batch datasets.

Is Listen Notes free?

The public search and discovery website has free tools. Premium Membership, extended alert use, commercial API access, and datasets have separate access or pricing arrangements.

Does Listen Score show podcast downloads?

No, Listen Score does not show downloads. Listen Notes defines it as a relative 0 to 100 popularity estimate. It should not be reported as publisher-verified audience data.