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Firecrawl Alexandria
Podcasts

Particle

Podcast intelligence: speaker-labelled transcripts, episode and show search, the people who appear, the sponsors and companies advertising, chart rankings, and bias and brand-suitability analysis.

15 Firecrawl tools use Particle
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Find five podcast discussions about AI agents and quote the matching speaker-labeled passages.

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Particle
TRY ASKING
1Request
string

What was talked about, in your own words. Paraphrase-tolerant, so it finds dialogue that means this without containing these exact words. Describe a topic, not a name: for a person or company use entity_id or podcasts/mentions.

string

Exact tokens or phrases to match in the transcript, ranked BM25. Use for tickers, drug names, product codes. Wrap a phrase in double quotes to require it contiguously.

string

How unquoted keyword terms apply: required filters to segments containing every term (and constrains a hybrid query to their intersection); ranked lets them only boost.

number

Lines of surrounding dialogue around each matched line. Widen this instead of fetching the transcript.

number

Maximum records to return.

15 credits
Codefollows the fields above
const result = await firecrawl.scrape({
  alexandria: {
    provider: "particle",
    capability: "podcasts/episodes/search",
    options: {
      keyword_match: "required",
      context: 1,
      limit: 25,
    },
  },
});
2Response example

This is a sample shape. Press Run to see live data from Particle.

episodesegmentwindowsmatchclips
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Firecrawl tools

15

Ready-made Firecrawl tools that call Particle.

Uses Particle, TMDB (The Movie Database), TrendsTalk show guest booking heat checkUse when a talent booker for a talk show or morning program is deciding whether to lock a guest this week. Reads how often the person is doing the podcast circuit and what they are promoting, their upcoming film or show releases, and whether public search interest is rising, then suggests similar guests who are trending now.8 toolsOpen
Uses Particle, Upspring, SimilarwebCo-marketing partner finderUse when a partner or co-marketing manager needs non-competing brands to run joint promotions, bundles or shared webinars with. Starts from advertisers that already buy the same podcast ad breaks as the brand, keeps those with active Meta budgets and an overlapping web audience, finds their partnerships contacts, and writes a ranked partner list with a pitch angle for each.6 toolsOpen
Uses Particle, Upspring, SimilarwebCompetitor media mix mapUse when leadership asks where a competitor is spending across podcasts and Meta and whether it is working. Lines up the competitor's podcast ad placements over time with its Meta creative and its monthly traffic channel mix to show which channel moved the needle, and writes a cross-channel media map.6 toolsOpen
Uses Google Play apps, Books and Movies & TV, Particle, TrendsAudiobook rights pitch packUse when a literary agent is pitching audio rights for a client's book to audiobook publishers. Checks whether an audio edition already exists, reads the book's ratings and reviews, how often the author is discussed or booked on podcasts, and search interest, then builds a short evidence-based pitch.9 toolsOpen
Uses Upspring, ParticlePodcast test-buy plan from competitor footprintsUse when a brand that has never bought podcast ads wants a low-risk first test. Finds the brand's closest Meta competitors, reads which shows those competitors keep renewing on podcasts, screens the shortlist for brand safety and chart reach, and writes a first-flight plan with shows, read style and a vanity URL scheme.7 toolsOpen
Uses Trends, Particle, WikipediaSeasonal content calendar from search historyUse when an SEO lead or content strategist plans next quarter's editorial calendar and needs to know when each topic really peaks. Reads five years of search interest to find each topic's seasonal window, the rising questions to target, whether podcasts pick the topic up before search does, and reference facts to anchor hub pages, then writes a dated content calendar.4 toolsOpen
Uses SEC EDGAR, Fireround, Particle, Fiscal.aiIPO filing comps sheetUse when an S-1 drops and an ECM banker, buy-side analyst or reporter needs a fast comps sheet. Reads the filing, pulls the last private valuation and investors, finds the listed peers and their current multiples, producing a comps table and the valuation the IPO needs to clear the last private round.7 toolsOpen
Uses Trends, Oriane, ParticleTrend-jacking content briefUse when a social or content team wants to ride a breaking search trend this week. Takes what is trending in a country, finds the rising angles, checks whether TikTok, Instagram and podcasts are already covering it, and returns a go or skip call per trend with formats, hooks and timing.6 toolsOpen
Uses Gartner, Trends, Particle, PeerSpotWebinar topic validationUse when a B2B demand generation manager must choose next quarter's webinar or virtual event topics and wants proof buyers care. Checks which topics analyst firms run webinars on, search interest for each candidate, how often practitioner podcasts discuss it, and what verified users complain about in software reviews, then writes a ranked topic list with titles.6 toolsOpen

Benchmarks

Podcasts benchmarks

Quality, speed and cost, last 24 hours, across every agent call to Particle through Alexandria.

Quality
95.9%
Calls answered without a tool error
Speed
6.5 s
95% of successful calls finish faster
Cost
5–50 credits
Firecrawl credits per call
Calls
270
Last 24 hours, every Alexandria user
Quality and speed of each tool, last 24 hours
ToolQualitySpeedCalls
Podcast episode100%393 ms42
Show search100%6.5 s42
Episode search100%2.5 s37
Entity lookup by external identifier100%505 ms36
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