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potterybarn-scraper

Scrapes Pottery Barn (US) category listings and product pages: every product in a category with its price range, and every SKU of a product with its own price, markdown, stock state and options. JSON or CSV, with a run-metadata sidecar that says whether the result is complete.

The listing comes from the site's own listing API and needs no proxy, no browser and no key. Product pages come from potterybarn.com over plain curl through a US exit. A browser path (Playwright, Selenium, pyppeteer, or the Scraping Browser API over CDP) exists as the fallback and the parity check. On this site it measured weaker than curl, and this README says by how much.

release tests canary Python licence engines listings need no account


What needs what

Everything here was measured on 2026-09-24 and re-measured on 2026-10-01 where it says so, from a residential address in Moscow and through 2Captcha residential US exits.

You want Run Needs
Every product in a category, with price ranges api_scraper.py nothing: no proxy, no browser, no key
Every SKU of a product: price, markdown, stock, options http_scraper.py a US exit, curl, and the browser header set (sent for you)
Every category URL, every product URL catalog_walk.py nothing
A browser, for parity or because you must playwright_scraper.py the Scraping Browser API for product pages (a local browser is refused)

The listing does not come from potterybarn.com at all. A leaf category page's served HTML contains zero product links. Its grid is filled client-side by a call to Constructor.io's browse API, using the storefront's public key, and api_scraper.py makes that same call. From Moscow, with no proxy and no special headers, the whole sofa category came back as 434 rows over 19 pages, matching the API's own total_num_results: 434.

Product pages refuse on three axes at once (a rule of this scraper family):

  1. Address. A non-US address gets the branded 403 ("Pottery Barn: 403 - Restricted Access"), and /robots.txt is redirected to potterybarn.co.uk, a different store in GBP. A GB exit is refused on every page (recon, 2026-09-24).
  2. Request shape. From the same US exits, a bare user agent got 403 on 3 of 3 and the full browser header set got 200 on 3 of 3 (recon, 2026-09-24).
  3. The client itself. Every trial below minted one fresh US exit and put each client through that same exit, back to back:
Client, product page 2026-09-24 2026-10-01
system curl, HTTP/2 29 of 31 (2 errors at the exit, 0 refused) 4 of 4
python-requests, same headers 0 of 18 (15 refused, 3 errors) 2 of 4 (2 refused)
local Playwright Chromium 0 of 15 (12 refused, 3 errors; headless and headful) 0 of 4 (4 refused)

A week apart, requests went from never to sometimes, so treat this axis as something the site scores and can re-score, not a fixed rule. A local Chromium was refused every time, even on /. Which part of the handshake is scored was not isolated, and this README does not claim to know. http_scraper.py uses the client that was measured to work: --http-client curl is the default wherever curl is on PATH.


Install

git clone https://github.com/2scraper/potterybarn-scraper
cd potterybarn-scraper
pip install -r requirements.txt      # beautifulsoup4, requests, Brotli

# only if you want a browser, and then ONE engine per virtualenv
pip install -r requirements-playwright.txt && playwright install chromium

Brotli is not optional. A configurable product (every sofa measured) ships its SKUs Brotli-compressed inside the page. Without the package those pages fail loudly instead of returning zero rows.

Credentials go in .env, never on the command line

cp .env.example .env          # POTTERYBARN_PROXY for product pages
python3 env_config.py         # prints what was picked up, without secrets
tools/install_hooks.sh        # refuse to commit or push a credential

ps reads argv, and argv lands in shell history and CI logs. Install the hooks. They are the only guard that runs while a secret is still private. By the time CI runs, the objects are on a server, and deleting the branch afterwards does not remove them: GitHub serves them by SHA. A pushed secret is a disclosed secret, so rotate it.


Usage

# A whole category, no proxy. --group-id is the page's categoryId.
python3 api_scraper.py --group-id sofa --all-pages --out sofas

# The same, from its URL. With POTTERYBARN_PROXY set, the page itself is read
# for its group id, key and currency; without it, the URL's last segment is
# used and recorded as a guess.
python3 api_scraper.py --url https://www.potterybarn.com/shop/furniture/sofa/ --pages 3

# Every SKU of two products
python3 http_scraper.py \
  --url https://www.potterybarn.com/products/delaney-marble-end-table/ \
  --url https://www.potterybarn.com/products/york-slope-arm-deep-slipcovered-sofa-collection/ \
  --out skus

# Every SKU of every product a listing run found
python3 http_scraper.py --from-listing sofas.json --out sofa_skus

# Find targets without crawling
python3 catalog_walk.py categories --leaf-only --grep sofa
python3 catalog_walk.py products --no-open-box --grep sectional --out-file targets.txt
python3 http_scraper.py --urls-file targets.txt --out sectionals

# Through a browser: the listing via the API, or one product page
python3 playwright_scraper.py --mode category --group-id sofa --pages 2
python3 playwright_scraper.py --mode product \
  --url https://www.potterybarn.com/products/delaney-marble-end-table/

Pagination

page=<n>, 24 results a page, the same call the storefront makes. A run stops when a page adds no new product id. total_num_results is recorded and checked against the row count afterwards (arithmetic_closes in the sidecar), but it is never used to decide when to stop.

The API's page order is not always stable, and that loses products. A product that repeats on a later page means another one was never returned. Deduping hides the repeat, not the gap. Seen so far:

When Run Repeats
2026-09-24 full sweep of sofa 434 results, 415 distinct (19 repeats)
2026-09-26 daily canary, 3 pages 1
2026-09-28 daily canary, 3 pages 4
2026-10-01 full sweep of sofa 433 results, 403 distinct (30 repeats)

Other sweeps the same days closed exactly, including five in a row on 2026-09-24 in relevance and price order at 24, 100 and 200 per page, and 5 of the 7 daily canaries. So with --all-pages, when the distinct count falls short of the total, api_scraper.py runs a second sweep sorted by lowestPrice and adds what the first missed (second_sweep_recovered in the sidecar). On 2026-10-01 that recovered all 30 and the listing closed at 433/433. A listing still short afterwards is reported partial (stop_reason: listing_incomplete, exit 6), never complete. A --pages N run reports its repeats (repeated_results) and is not compared with the category total, because it never asked for all of it.

total_num_results does move: sofas were 434 on 2026-09-24 and 433 on 2026-10-01.

Rate limit. x-ratelimit-limit: 201, and x-ratelimit-remaining falls by about 0.8 per uncached call. Repeating an identical URL is served from the API's cache (max-age=60) and costs nothing: 400 identical calls never pushed it below 173. Measured 2026-10-01 with unique URLs, it reached 0 after 240 calls in 159 seconds, and then nothing happened: 194 more calls at zero all answered 200 with full results, with no 429, no Retry-After and no truncated page. A full category scraped at zero came back complete, 433 of 433. The budget is per client address: the same key through another address read remaining: 200 at the same moment. So api_scraper.py does not stop at zero. Below 10 it slows to one page every 5 seconds, and a 429, never observed, is still treated as a refusal (exit 3), never as an empty category.


What you get

Two row shapes, chosen by --mode, and that is a decision, not an accident.

Mode Row One row per Its sku is
category (api_scraper.py) Product listing result the product slug, or a sub-group's id
product (http_scraper.py) SkuRow purchasable SKU the SKU id

A listing result is a product with a price range. A product page lists each SKU with its own price. The alternative, always one row per SKU, was measured before it was rejected. One sofa has 4,843 SKUs (PB Comfort Modern Square Arm), so the 434-product sofa category alone would be on the order of a million rows and 434 proxied page fetches, where the listing takes 19 API calls from anywhere. So the mode picks the grain, the sidecar records it, and diff_runs.py refuses to compare across modes.

Both rows carry product_id. Join a listing row to its SKU rows on product_id, never on sku. It matters: a listing result is sometimes a sub-group of a product, a slice by finish, rather than the product. That was 15 of 144 results over three categories. "Aldon Dining Bench" appears twice, as aldon-dining-bench-SPAF-finish-russet-oak-wood-finish and ...-remainder, both at /products/aldon-dining-bench/?subGroupId=.... Such a row's sku is the slice's id, sub_group_id names it, and product_id is the slug in the URL's path. --from-listing fetches each product page once. The listing's lead SKU is leader_sku. It is never written into sku, because a SKU id standing in for a product id is how two questions get one wrong answer.

Product  source scraped_at url sku title image_url price currency category price_source
         product_id sub_group_id price_max original_price original_price_max max_discount_pct
         leader_sku pip_type price_type flags page row_index

SkuRow   source scraped_at url sku title image_url price currency category price_source
         product_id product_title original_price discount_pct availability
         back_ordered_date sellable options color width_in depth_in height_in
         subset pip_type category_hierarchy page row_index

The first ten columns are the family prefix, identical and in the same order in both. One real listing row, from sample_output.json:

{
  "url": "https://www.potterybarn.com/products/york-slope-arm-deep-slipcovered-sofa-collection/",
  "sku": "york-slope-arm-deep-slipcovered-sofa-collection",
  "title": "York Slope Arm Deep Seat Slipcovered Sofa (60\"-108\")",
  "price": 1679.0,
  "price_max": 4199.0,
  "original_price": 1999.0,
  "max_discount_pct": 20.0,
  "currency": "USD",
  "leader_sku": "865462",
  "price_source": "constructor-browse"
}

And one real SKU row, from sample_skus.json:

{
  "sku": "2235076",
  "title": "Delaney 14\" Marble End Table, Bronze",
  "price": 349.0,
  "original_price": 449.0,
  "discount_pct": 22.27,
  "currency": "USD",
  "availability": "ON_HAND",
  "options": {"Finish": "Bronze & Banswara Marble", "Quantity": "Individual"},
  "product_id": "delaney-marble-end-table",
  "price_source": "pdp-state"
}

Both samples are cut from real runs by tools/cut_samples.py, not written by hand, and CI checks their columns against the schema.

The two sources agree where they overlap. A listing row's price/price_max is the product page's own aggregatePrice low/high selling price: York 1679/4199 and PB Comfort 1359/4899, from both sources.

The currency is stated, never assumed. A product page states it (config.pricing.currencyData.selectedCurrency: "USD"), and so does a listing page (shop.currencyData). The listing API states none, so a listing row's currency comes from the page the key was read from. With no page read, it comes from the currency recorded for that exact key when it was measured. An unknown key read with no page gives null.

Stock is per SKU, and it is real. availability is ON_HAND, BACK_ORDERED (with back_ordered_date) or NLA, and was populated on 6,214 of 6,214 SKUs across three product pages. There is no rating column: the product page's reviews node is a bare reference and the listing API carries none. Zero rating keys appeared across 3 product pages and 24 listing results. A column that is null on every row should not exist.


Traps that look like bugs

A sofa's product page served "no SKUs", and yet this returns 1,367 rows. On a guided product (a configurator: sofas, sectionals) the page's subsets list is empty. The SKUs are in productDetails.subsetsCompressedValue, base64-encoded Brotli. York sofa: 117,380 characters decode to 4.2 MB of JSON and 1,367 SKUs. A parser that reads subsets alone returns zero rows for every sofa on the site while reporting success. The count is checkable, and the check closes exactly: skuCount counts the non-NLA SKUs, so York's 1,367 − 93 NLA = 1,274 = skuCount. Every product in a run is checked, and a mismatch is warned about and recorded.

A product's SKU rows go lower than its listing price. That is expected. SKUs that are NLA (no longer available) stay in the page with their last price, and the site's own range leaves them out. On York on 2026-10-01, all 1,380 SKUs ran 1679–4199, while the 1,235 that are not NLA ran 1839–4199, which is exactly the listing's and the page's aggregatePrice. Filter on availability for what can be bought.

A guessed category URL lands on a hub. /shop/furniture/sofas/ (plural) 301s to the department hub /shop/furniture/, a real page with no grid. The leaf is /shop/furniture/sofa/. Take category URLs from catalog_walk.py, never from a guess. A hub is reported as a hub (exit 4), not as blocked.

group_id=furniture returns curtain rods. A top-level group is broad: 8,266 results, and the first one was a curtain rod (recon, 2026-09-23). Check what a group contains (the sidecar's group.display_name and count) before naming it.

A product slug is the id. Do not parse the number out of it. Some slugs end in digits (open-box-cline-swivel-counter-stool-14341192), some do not (russo-vanity-mirror-mp). Open-box items are separate products: 3,339 of the sitemap's 16,966 product URLs are open-box-* (--no-open-box drops them).

The UK store is not a fallback. A non-US exit is redirected to potterybarn.co.uk. curl here follows redirects only inside www.potterybarn.com. A hop to the UK host is returned unfetched and classified geo_redirect, which rotates to a fresh US exit. A pinned 2Captcha session has been seen drifting from El Paso to a Frankfurt AWS address minutes into its life (recon, 2026-09-23), and a fresh session fixed it every time. So http_scraper.py mints a fresh session on every refusal.

A 200 is not a product page. The 2Captcha Scraper API answered HTTP 200 for two different product URLs with the same 137,461-byte prerendered page, titled "Timeless Furniture & Elevated Interiors", with no product in it. The classifier needs a productDetails node before it calls anything a product.


The listing API is a third-party host

This deserves its own section, because the usual reassurance does not apply.

api_scraper.py calls ac.cnstrc.com, Constructor.io's API, not potterybarn.com. It sends the request the storefront's own grid sends, with the storefront's own public key, one page at a time. But potterybarn.com's robots.txt governs www.potterybarn.com and does not speak for that host. Saying "robots.txt allows it" would be false. It neither allows nor forbids it, because it is not about that host at all.

What this repo does about that:

  • It sends only what a visitor's browser sends. No key of its own and no parameter the storefront doesn't use (24 results a page, though the API accepted 100 and 200).
  • It honours the API's rate-limit headers and slows down before they run out.
  • It never pages a category through potterybarn.com's own facet URLs, which robots.txt does disallow (Disallow: /*N=).

Whether that is acceptable for your use is your call to make, and it should be made knowing which host is involved. A sibling in this family set the precedent of reading a site's own catalogue API. This one is the first where that API belongs to a third party.

robots.txt on www.potterybarn.com is respected for every URL this repo fetches there. robots.snapshot.txt is the file as fetched (and embedded in product_parser.py, so an installed wheel cannot silently lose it). The matcher implements * and longest-match precedence. /products/<slug>/ and /shop/<category>/ are allowed. Facet URLs, /shop/*+*+*, */quicklook, */apartment- (except apartment-furniture/), the cart and the account pages are refused before any request is made.


About reCAPTCHA

No challenge was met anywhere this scraper goes. The product page carries one reCAPTCHA sitekey, in the config of a send-to-a-friend form, and renders no widget. An anchor probe with a deliberately bogus control key:

Key size=normal size=invisible
the page's key 39,669 b anchor, no error 1,492 b
bogus control 1,495 b, Invalid site key 1,495 b

A full anchor under size=normal means v2 checkbox, not v3 and not invisible. The detector looks for a rendered widget and never for the sitekey string. Matching the string would fire on every product page and send it to the paid solver.

On the one refusal the Scraping Browser returned, the page still mentioned a captcha: the auto-solve extension injects its own scripts into every page, and they name cf-turnstile. Those scripts are stripped before classification, and a test pins that the Scraping Browser's own 403 page would otherwise have been sent to the solver.


Engines

The listing API and curl are the primary transports here. That is unusual in this family and it is measured, not preferred. Every engine has now been run against the live site (2026-10-01):

api_scraper http_scraper Playwright / CDP Playwright, local pyppeteer Selenium
Listings, live yes — yes yes yes, local and CDP yes
...identical to api_scraper, field for field — — yes yes (72/72) yes (72/72) yes (72/72)
Product pages, live — yes yes refused over CDP only no (see below)
...identical to http_scraper, field for field — — yes (4/4, 1,380/1,380) — yes (4/4) —
Needs a US exit no yes brings its own yes yes / brings its own yes
Authenticated remote CDP n/a n/a yes — yes no
Authenticated proxy n/a yes n/a yes no on current Chrome no

The Scraping Browser API on product pages, and the bug it exposed

2026-10-01: 14 of 14 sessions were served the product page (HTTP 200, the real page): 10 through our residential US exits attached per connection, 4 through the profile's own exit. Field-for-field parity with curl: Delaney end table 4 of 4 SKUs and York sofa (guided, compressed) 1,380 of 1,380 SKUs, the same SKU sets, zero differing fields except scraped_at. Captcha.setAutoSolve was accepted every time, with zero Captcha events.

The first six of those sessions looked empty, and that is a bug this repo had, now fixed. After hydration the storefront deletes its <script>window.__INITIAL_STATE__=…</script> tag from the DOM. The served body classified product, and the rendered DOM three seconds later classified empty, while window.__INITIAL_STATE__ stayed alive in JavaScript. So the browser engines now read the navigation's own response body first, which is the same bytes curl gets. Selenium has no response object, so it reads the live JS object (JSON.stringify(window.__INITIAL_STATE__)). The sidecar records which one was used (state_source).

A week earlier the picture was different, and the numbers stand as measured. On 2026-09-24 the Scraping Browser was refused with a real HTTP 403 on product pages: 8 of 8 sessions on the profile's own exit (one Verizon Business address every time), 2 of 3 through our exits, and 3 of 3 in ten instrumented iterations. In those iterations setAutoSolve was accepted 10 of 10 with 0 Captcha events, 5 of 7 listing runs completed with 48 rows each, 2 ended in a 60-second navigation timeout, and two repeats of one listing were identical. Same profile, same code path to the site, and a different answer a week later: measure before relying on either week.

One connection per run

One Scraping Browser connection per run, closed in finally, never retried, and never preceded by GET /json/version: that check takes the profile lock itself (homedepot-scraper, 2026-09-23). A connection that ends abnormally holds the profile. On 2026-09-24 a navigation that timed out (wait_until="load" on a page whose load event never fires) left the profile answering 500 to a connect 28 minutes later. So Playwright navigates with wait_until="commit" and reads the response body, never waiting for the page to render. domcontentloaded still timed out in 2 of 10 instrumented runs on 2026-09-24 and 1 of 10 on 2026-10-01. After the change: 0 of 10, 5 to 8 seconds a run (2026-10-01). Selenium uses page_load_strategy = "eager" for the same reason; pyppeteer has no earlier wait than domcontentloaded. If a profile is stuck, stop touching it and wait.

A connect that fails with 500 and the body proxy_error is the profile's own exit failing at the vendor, not a lock. It happened on 2026-10-01 while a residential exit attached to the same profile per connection worked (tools/browser_profile_client.py connection).

Engine limits, measured

  • Selenium cannot use an authenticated CDP endpoint. chromedriver's debuggerAddress has nowhere to put a password, so --cdp-endpoint is refused (exit 5).
  • Selenium cannot authenticate a proxy. The credential is stripped, and Chrome then gets the proxy's own refusal: an empty 39-byte document. That is reported as exit 5, the transport, not exit 3, the site. It reads listings fine, since those need no proxy.
  • pyppeteer cannot authenticate a proxy on current Chrome. Its page.authenticate rides on Network.setRequestInterception, which Chrome 154 no longer implements. Reported as exit 5 with the reason. Over --cdp-endpoint the password travels in the WebSocket URL instead, and there it works (product page 4/4 identical to curl).
  • pyppeteer on Apple silicon needs --browser-path. The Chromium it downloads is an x86_64 build that did not come up under Rosetta within its launch window. The system Chrome did. pyppeteer is effectively unmaintained and is kept for parity.

The 2Captcha Scraper API is not a transport in this repo. It answered HTTP 200 with a prerendered generic page instead of the product (see Traps), 3 calls of 3, at $0.0005 each (2026-09-24). A client that gets a 200 with the wrong page is worse than none, so none ships.


Exit codes

Code Meaning
0 Complete
1 Crash
2 Bad usage, including a URL on another host or one robots.txt disallows
3 Blocked: the site refused (a 403, a redirect to the UK store, a 429 from the API)
4 Zero products, including a hub category, which is a correct answer
5 Our plumbing, not the site: a timeout, a dropped CDP socket, a locked profile, a proxy 407
6 Partial: some pages or products fetched, then stopped or failed

3 and 5 mean different things. A 407 on the proxy tunnel means potterybarn.com was never reached. It is never retried or rotated, because every exit on a dead credential fails the same way. On this vendor a 407 has been measured to be transient (homedepot-scraper: an hour of 407s, then 200 the next day with nothing changed), so "retry later" comes before "replace the credential".

A run that finds nothing writes nothing. Yesterday's good output is not replaced with []; --allow-empty is the opt-out. <out>.meta.json describes the dataset beside it, and <out>.latest_attempt.meta.json is written on every run, so a pipeline can tell a fresh success from yesterday's.


Measured results

2026-09-24 unless marked.

Run Transport Rows Notes
Sofas, all pages api_scraper, no proxy, Moscow 434 19 pages + 1 empty; total_num_results 434; arithmetic closes (one sweep in between did not; see Pagination)
Sofas, all pages, at rate-limit zero (2026-10-01) api_scraper, no proxy 433 first sweep 403 distinct, second sweep recovered 30; 433 of 433
Delaney + York, browser vs curl (2026-10-01) Playwright / Scraping Browser 1,384 identical to curl in every field
Dining benches, all pages api_scraper, no proxy 72 72 of 72; 15 sub-group rows over 65 products
Delaney end table + York sofa http_scraper, curl, US exit 1,371 4 SKUs inline + 1,367 decoded; both SKU counts close
15 random leaf categories curl, US exit — 15 of 15 served; page categoryId == URL's last segment on 15 of 15
Category sitemap catalog_walk, no proxy 795 772 leaves, 23 hubs
Product sitemap catalog_walk, no proxy 16,966 3,339 open-box-*; 16,873 the day before

The sitemaps need no proxy, but they are user-agent filtered: from Moscow, a browser user agent got 200 on all three files and the default python-requests/… agent got 403 on all three. catalog_walk.py sends the browser header set.


Comparing two runs

python3 diff_runs.py --old sofas.2026-09-24.json --new sofas.2026-09-25.json

Joins on sku and reports added, removed and changed rows. It refuses runs that are not both complete (a partial run's unfetched pages would read as delistings), and runs of different modes (a product slug and a SKU id are different keys). The tracked fields differ per mode: a product's range and markdown for listings, and a SKU's price, markdown and stock for product runs.


Testing

python3 smoke_test.py          # the offline suite: no network, no browser
python3 -m pytest -q           # the same suite as one pytest test
python3 .github/ci_checks.py --all

Over 900 checks, the same with no engine installed and with each engine in its own virtualenv (2026-10-01, 0 failures in all four). Absent engines report a skip, and CI fails when the engine it installed is skipped. tests.yml also runs one venv per engine, builds the wheel and uses it outside the checkout, and builds the Docker image.

tools/transport_trials.py re-runs the paired client measurement above, tools/autosolve_probe.py + tools/compare_runs.py the browser iterations.


Troubleshooting

See TROUBLESHOOTING.md, organised by symptom.


Do you need the paid products?

For listings: no. No proxy, no browser, no key.

For product pages: a US residential exit, yes. Nothing else.

  • Proxies: POTTERYBARN_PROXY. The US exit product pages require. A -region-us gateway login lets http_scraper.py mint a fresh session-pinned exit on every refusal: five minted sessions gave five distinct US residential addresses.
  • Scraping Browser API: POTTERYBARN_CDP_ENDPOINT. The only browser path that reaches product pages, since a local Chromium is refused. It got them on 14 of 14 sessions on 2026-10-01, identical to curl field for field, after being refused a week earlier. curl remains the default because it needs no browser and no profile lock.
  • Captcha solving: TWOCAPTCHA_KEY. Wired, and on this site it has never had anything to do.
  • Fingerprints: fingerprint_client.py. Not needed over CDP, where the remote browser brings its own.

Contributing, security, licence


Legal

This repo reads public catalogue data as an anonymous visitor is served it. It does not log in, does not touch a cart or an order, and does not attempt to defeat a protection. A refused page is reported, not worked around.

On www.potterybarn.com, robots.txt is respected for every request. The listing API is a different host that robots.txt does not govern. See The listing API is a third-party host and decide with that in mind.

The default --delay is 1 second between requests. Raise it for anything long, and do not point concurrency at one address. Respect the site's terms and the law where you operate.

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Pottery Barn listing and per-SKU product scraper — the site's own listing API (no proxy), product pages over curl, Playwright/Selenium/Puppeteer or Scraping Browser via CDP

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