Peptide & GLP-1 market intelligence

Peptide market research data is consumer-demand signal pulled from public communities about compounds like semaglutide, tirzepatide and BPC-157. This free tool builds a ready-to-run query and previews the exact output shape (mentions, sentiment, intent, vendor leaderboard); you then run it live on the backing Apify actor, which is pay-as-you-go (Apify's platform-level free credits let you start without adding a card).

In short

peptide-market-intel — query builder

Sources

Compound categories (optional)

Max items per source

This builds a ready-to-run query for the peptide-market-intel actor and shows a fixed example of the output shape — not live results. Paste the query into the actor to run it at scale.

Key takeaways

This is a query builder: it generates a ready-to-run config and shows a fixed example of the output shape; it does not fetch live results in the browser.
Run the configured query on the backing Apify actor (constructive_calm/peptide-market-intel) on a pay-as-you-go basis, using Apify's platform-level free credits to get started.
Default sources are YouTube and Amazon; Reddit is an opt-in extra (it can return 403 from Apify cloud). The tool tracks 30+ compounds including semaglutide, tirzepatide, BPC-157 and TB-500 plus brand aliases (Ozempic, Wegovy, Mounjaro).
Each mention row carries sentiment (positive/neutral/negative + 0-1 score), intent (vendor-question, experience-report, dosage-question, side-effect, price-inquiry), and extracted vendor/brand mentions.
Optional aggregate reports include TOP_COMPOUNDS, VENDOR_LEADERBOARD, SENTIMENT_BY_COMPOUND and TRENDING_COMPOUNDS_7D for week-over-week tracking.
Useful for DTC supplement brands, market researchers and brand-risk teams monitoring unregulated peptide and GLP-1 demand signals.
Set maxItemsPerSource low (e.g. 30) to keep a preview run cheap; mention rows are charged first, so a small preview (about 30 items) usually stays within the first 10 free events; with aggregates on (the default) the 3-4 aggregate reports are charged after and can tip a larger run past the actor's first 10 free events per run.

How it works

1. Choose your sources and compounds

Select which platforms to scan. YouTube and Amazon are enabled by default; Reddit is an opt-in extra that can occasionally return 403 from Apify cloud. Optionally narrow to compound categories like GLP-1, healing, cosmetic or longevity, and add any custom vocabulary terms you want matched.

2. Set the item limit

Set maxItemsPerSource. Use a small number such as 30 for a low-cost preview run; raise it for fuller weekly scans once you've confirmed the output shape. Note that aggregate reports are written before mentions, so a small preview may only partly fit inside the actor's first 10 free events per run.

3. Enable aggregates and trend tracking

includeAggregates is on by default, generating the TOP_COMPOUNDS, VENDOR_LEADERBOARD and SENTIMENT_BY_COMPOUND reports. Add a stable datasetName if you want week-over-week TRENDING_COMPOUNDS_7D deltas across scheduled runs.

How to use it

Choose your sources and compoundsSelect which platforms to scan. YouTube and Amazon are enabled by default; Reddit is an opt-in extra that can occasionally return 403 from Apify cloud. Optionally narrow to compound categories like GLP-1, healing, cosmetic or longevity, and add any custom vocabulary terms you want matched.
Set the item limitSet maxItemsPerSource. Use a small number such as 30 for a low-cost preview run; raise it for fuller weekly scans once you've confirmed the output shape. Note that mention rows are charged first and aggregate reports are charged after mentions, so a small preview may only partly fit inside the actor's first 10 free events per run.
Enable aggregates and trend trackingincludeAggregates is on by default, generating the TOP_COMPOUNDS, VENDOR_LEADERBOARD and SENTIMENT_BY_COMPOUND reports. Add a stable datasetName if you want week-over-week TRENDING_COMPOUNDS_7D deltas across scheduled runs.
Copy the generated query and preview the shapeThe builder outputs a ready-to-run JSON config and a fixed example of the output rows (mention text, compounds, sentiment, intent, vendor/brand mentions) so you know exactly what fields to expect before spending anything.
Run it live on the Apify actorPaste the config into the backing actor (constructive_calm/peptide-market-intel) on Apify and run it. The actor performs the live collection and Gemini enrichment and returns your real dataset on a pay-as-you-go basis.

Run it at scale

Run Peptide & GLP-1 market intelligence at scale

Copy the run input below into the peptide-market-intel actor on Apify to run this at scale and export clean JSON/CSV/API. Free to start, then pay-as-you-go.

Run on Apify — free to start → See pricing

Paste the input below into the actor → click Start. Free to start, then pay-as-you-go.

Key facts

The global GLP-1 receptor agonist market was valued around USD 53.5 billion in 2024, with multiple forecasts projecting roughly 17-22% CAGR into the early 2030s.: Third-party market-research estimates that vary by publisher; confirm the latest figures with the publishers directly. Treat as projections, not guarantees.
Semaglutide held the largest single-compound share of the GLP-1 segment in 2024 by most market analyses.: Third-party GLP-1 receptor agonist market analyses; specific share percentages vary by publisher and should be re-checked at the source.
Academic researchers have analyzed hundreds of thousands of GLP-1-related Reddit discussions with large language models, generally finding neutral-to-positive sentiment.: Summarized from third-party peer-reviewed Reddit-based studies; verify exact counts and findings with the original publications.
Reddit-based pharmacovigilance studies have surfaced patient-reported GLP-1 side effects (for example menstrual changes and chills/hot flashes) that are not prominent in trial labeling.: Third-party academic reporting on Reddit pharmacovigilance studies; confirm specifics with the cited research before relying on them.
The actor tracks 30+ peptide compounds and their aliases across YouTube, Amazon and optional Reddit, with an experimental TikTok source disabled by default.: From the actor's README and input schema (constructive_calm/peptide-market-intel). The 30+ total combines a static seed vocabulary with a runtime UniProt query plus a consumer overlay.
The backing actor is pay-as-you-go, charging per enriched mention row and per aggregate report, with the first 10 chargeable events per run free.: From the actor's README and pay_per_event configuration; mentions are charged first (so a ~30-item preview typically stays within the first 10 free events); the up-to-4 aggregate reports are charged after and may tip a run past the free allowance. Confirm current rates on the Apify page.

FAQ

What is peptide market research data?

Peptide market research data is structured signal about consumer demand, sentiment and vendor reputation for peptide compounds such as semaglutide, tirzepatide, BPC-157 and GHK-Cu. Because much of the demand sits in unregulated gray-market and community channels, a large share comes from public discussion on platforms like YouTube, Amazon and Reddit rather than from clinical or regulatory databases alone.

Does this tool return live peptide data in my browser?

No. It is a query builder. You pick sources, compound categories and item limits, and it produces a ready-to-run configuration plus a fixed example of the output shape so you know exactly what fields you'll get. You then run that query live on the backing Apify actor, which performs the actual collection and enrichment and returns the real dataset.

How much does it cost to run the query?

Building and previewing the query here is free. The backing Apify actor is pay-as-you-go, and Apify's platform-level free credits let you start without adding a card. Per the actor's pricing it charges per enriched mention row and per aggregate report document, with the first 10 chargeable events per run free. Because aggregate reports are written before mentions are counted, a small preview run (maxItemsPerSource around 30) may only partly fit inside that free allowance; always confirm current pricing on the actor's Apify page.

Which peptide compounds and sources are covered?

The actor tracks 30+ compounds across categories like GLP-1, healing, GH-GHRP, cosmetic, sexual, nootropic and longevity, including semaglutide, tirzepatide, BPC-157 and TB-500 plus brand aliases such as Ozempic, Wegovy and Mounjaro. Default sources are YouTube and Amazon; Reddit is available as an opt-in extra (it can occasionally return 403 from Apify cloud), and there is an experimental TikTok option that is off by default.

What sentiment and intent does each mention include?

Each mention row includes a sentiment object with a label (positive, neutral or negative) and a 0-1 confidence score, plus an intent classification: vendor-question, experience-report, dosage-question, side-effect, price-inquiry or other. Rows also carry resolved canonical compounds, raw aliases, and extracted vendor and brand mentions, so you can separate purchase intent from anecdotal experience reports.

Can I track peptide demand trends week over week?

Yes. Set a stable datasetName and schedule recurring runs, and the actor can produce a TRENDING_COMPOUNDS_7D aggregate showing week-over-week mention-count deltas per compound. Other aggregates include TOP_COMPOUNDS (mention counts), VENDOR_LEADERBOARD (retailers with sentiment breakdown) and SENTIMENT_BY_COMPOUND for brand-risk monitoring. includeAggregates is on by default, so these reports are generated unless you turn it off.

Who uses peptide market intelligence like this?

Typical users are DTC supplement and peptide brands, market-intelligence and competitive-intelligence teams, and brand-risk or pharmacovigilance analysts. They use community signal to gauge demand for emerging compounds (for example retatrutide), benchmark vendor reputation, and spot patient-reported side effects before they surface in formal channels. Academic studies have analyzed large samples of GLP-1 Reddit posts for similar purposes.

Is scraping Reddit and Amazon for this allowed?

The actor collects publicly visible posts, video metadata and product listings, not private or login-gated content. As with any web data collection, you are responsible for complying with each platform's terms and applicable law, and for using the output for legitimate market-research purposes. The tool does not provide medical advice and should not be used to make clinical or dosing decisions.

How is the sentiment and compound matching generated?

When enrichmentMode is set to full, the actor uses Gemini 2.5 Flash to disambiguate compounds (collapsing slang like 'sema' and 'tirz' to canonical names), classify sentiment with a confidence score, extract intent, and identify vendor and brand names. Setting enrichmentMode to raw skips AI enrichment and returns matched mentions without the sentiment and intent layers.

This browser tool is free. Bulk/scheduled/API extraction runs on the peptide-market-intel actor on Apify — free to start, then pay-as-you-go (you only pay for what you run). Public data only; respect each source's terms.