Platform · GoodRx

GoodRx Published Prices

GoodRx is not a pharmacy. It shows three different kinds of price, and says itself which ones it stands behind.

GoodRx published prices are the prescription prices GoodRx displays for a drug, strength, quantity, pharmacy and location. GoodRx is a price comparison and discount service, not a pharmacy, and it distinguishes three kinds of price: its own coupon prices, pharmacy membership prices it does not control, and estimated cash prices. So price_type is on every row, with the pharmacy and location, and the three never share a series. No patient data, no prescriptions and no individual health information are collected, and reviews that disclose a condition are excluded.

A drug price comparison that mixes a coupon price with an estimate is comparing a promise with a guess.

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goodrx_sample.jsonl LIVE FEED

{"pharmacy":"as displayed","location_zip":"60601","price_type":"coupon","price":12.37} {"price_type":"pharmacy_membership","membership_programme":"as displayed","price":10.00} {"price_type":"estimated_cash","price":48.12,"is_estimate":true}

illustrative sample rows · USthree prices, one page · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to GoodRx or its owners. GoodRx and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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GoodRx at a glance

How we handle GoodRx specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Source: GoodRx — comparison and discount service
Not: A pharmacy
Price types: Coupon, pharmacy membership, estimated cash
Contracted by GoodRx: Coupon prices only, per GoodRx
Depends on: Pharmacy, location and date
So: price_type, pharmacy, location on every row
GoodRx's advice: Confirm the price with the pharmacy
Refresh: Weekly on a designed drug and location panel

Platform specifics

Three prices, one page

These are the reasons a GoodRx dataset needs its own handling rather than a shared retail schema.

What each kind of price is

GoodRx explains its own price types. Coupon prices are the ones it has arrangements to support. Pharmacy membership prices come from pharmacies' own programmes. Cash prices are estimates of what a pharmacy charges without a discount.

price_type — coupon, pharmacy_membership or estimated_cash — on every row.
An estimated cash price is labelled as an estimate, because GoodRx labels it as one.
Membership prices belong to the pharmacy's programme, and carry its name.
A series is one price type. The lowest price on a page is not a single number to track.

Pharmacy, place and time, and what we do not do

A price belongs to a pharmacy, a place and a date

Prices vary by pharmacy and location, and GoodRx notes they can be higher in some states. pharmacy, location (a designed ZIP code panel) and observed_at are on every row, along with drug, strength, form and quantity as selected.

Against published lists

A pharmacy's published list, like Walmart's, is a different kind of source from a comparison site. Both can be delivered, labelled.

What we do not do

Mix price types, present an estimate as a price, sign up for coupons or accounts, or collect patient or health data.

Scope

What we collect on GoodRx, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

price_type on every row: coupon, pharmacy_membership, estimated_cash
Estimates labelled as estimates
Membership prices carry the pharmacy programme's name
pharmacy and location on every row
A designed drug and ZIP code panel
Drug, strength, form and quantity as selected
One price type per series
Weekly refresh
GoodRx's own caveats recorded as terms

❌ What we do not, and why

Price types mixed in one series
An estimated cash price presented as a price
A "lowest price" tracked across types
Accounts or coupon sign-ups
Patient or health data

Core GoodRx fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
drug_name / strength / form / quantity	As selected
pharmacy	As displayed
location_zip	From the panel
price_type	coupon, pharmacy_membership, estimated_cash
price / currency	As displayed
membership_programme	Where the type is membership
caveat_text	As displayed
register_match_derived	Labelled
panel_id	Drug and location panel
observed_at	Timestamp
state	Derived from ZIP, labelled

Use cases

What teams do with GoodRx data

Prescription price comparison research

Prices by type, pharmacy and place, never mixed.

Geographic variation

How a drug's coupon price varies across a ZIP code panel.

Pharmacy programme pricing

What pharmacy membership programmes show, labelled as theirs.

Against published lists

Comparison-site prices beside pharmacy list prices, each labelled.

The 24-hour sample — run on your sources, not ours

Send us a GoodRx item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

GoodRx is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. GoodRx data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what healthcare & pharmacy data covers, and a GoodRx-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

GoodRx data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

No. It is a price comparison and discount service.

Per GoodRx, its coupon prices. Membership prices come from pharmacies' programmes, and cash prices are estimates.

Not as one number across types. We deliver each type separately, by pharmacy and location.

A designed ZIP code panel agreed with you, since prices vary by place.

No accounts or sign-ups are used.

It depends on the number of drugs, locations and refresh frequency.

Talk to us.

See real GoodRx data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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