CommentSold Shop Scraper: Products, Prices, Live Shows

CommentSold Shop Scraper turns CommentSold boutique shops into a clean product data API. Walk one or many shops across their collections and get catalog products with variant prices and stock, full image galleries, descriptions, product details, live-show status, replays and shoppable videos, then export to JSON, CSV or Excel, or pull the results straight into your app through the API.

Why This Scraper?

• Three ways in. Walk shops by name, paste shop, collection, product and live links, or combine both across one run. No need to learn each shop's layout.
• One actor, every shop. The platform serves all of its boutiques from one shared storefront, so a single shop list covers N catalogues with per-shop progress in the log.
• Prices and stock, honestly counted. Every variant carries its price, sale price and quantity; the row reports the price range, total units and an in-stock flag computed over the whole table.
• Details on demand. Switch the full detail page on or off per run: shop collections, related products, sizing guides and shoppable videos, billed only when they land in your dataset.
• Live surface included. Each shop yields its live-show status row, its replays and its shoppable videos in the same run, under their own output tabs.
• Built for schedules. Incremental mode returns only new and changed products on recurring runs, and a refused or login-gated shop fails loudly instead of returning an empty dataset.

Use Cases

• Who: boutique aggregators and market researchers. What: track assortments, brands and price ranges across many independent shops from one actor.
• Who: repricers and deal hunters. What: watch variant prices and restocks per shop on a daily schedule with incremental mode.
• Who: live-commerce analysts. What: monitor which shops are live, what they feature, and which replays and shoppable videos they publish.
• Who: inventory planners. What: collect variant-level stock counts and sizing data to spot gaps and best sellers.
• Who: affiliate and curation teams. What: build product shortlists with photos, badges and shop attribution.

Data You Get

Sample shape: values are illustrative placeholders, not from a live record.

Field	Example
recordType	"product" (also "show", "clip")
shopSlug	"samplestore"
productId	"12345"
name	"Sample Cardigan"
brand	"Sample Brand"
badge	"RESTOCK"
description	"A soft knit cardigan ..."
priceMin / priceMax	24.99 / 34.99
currency	"USD"
inStock / totalStock	true / 42
variantCount / variants	6 / color, size, price, sale price, quantity per variant
imageUrl / imageUrls	cover photo / full gallery
videoUrl	product video when the shop attached one
detailCollections	shop collections carrying the product (details on)
relatedProductIds	related products (details on)
sizingGuide	sizing text (details on)
collectionKey	"all-items"
url	product detail address on the shop
changeType / changedFields	incremental mode: "UPDATED" / ["priceMin"]
firstSeenAt / lastSeenAt	incremental mode timestamps

Show rows carry the live status, viewer count and featured-product count; video rows carry the featured products. Every row carries the shop slug, the shop address and the scraped timestamp.

How to Use

1. Pick a mode: search (walk shops by name) or url (paste links).
2. Fill in the fields for that mode: shop names and collections, or a mix of shop, collection, product and live links.
3. Switch product details and the live surface on or off, set Max items to control run size and cost, then click Start.
4. Download the dataset as JSON, CSV or Excel, or read it through the API.

Walk one shop's full catalogue:

{
  "mode": "search",
  "shops": ["shopthemasonjar"],
  "maxItems": 20
}

Keyword search across two shops, in stock only:

{
  "mode": "search",
  "shops": ["shopthemasonjar"],
  "searchQuery": "dress",
  "inStockOnly": true,
  "maxItems": 20
}

Paste links (shop, collection, product, live):

{
  "mode": "url",
  "urls": [
    "https://shopthemasonjar.commentsold.com/",
    "https://shopthemasonjar.commentsold.com/collections/all-items",
    "https://shopthemasonjar.commentsold.com/api/products/32291",
    "https://shopthemasonjar.commentsold.com/live"
  ]
}

A bare shop slug (shopthemasonjar) works anywhere a shop link does. Platform pages and custom domains that carry no shop name are reported and skipped, never guessed at.

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/commentsold-com-scraper").call(run_input={"mode": "search", "shops": ["shopthemasonjar"], "maxItems": 20})
for product in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(product["name"], product["priceMin"], product["inStock"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/commentsold-com-scraper').call({ mode: 'search', shops: ['shopthemasonjar'], maxItems: 20 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.map((p) => [p.name, p.priceMin, p.inStock]));

Resume and recurring updates

• Resume (resumeFromRunId) continues one interrupted run: paste its run or dataset ID and the actor skips everything already collected there, so you don't pay twice.
• Incremental mode (incrementalMode) is for scheduled runs over the same shops. Each record is classified NEW, UPDATED (with changedFields), UNCHANGED (suppressed and not billed unless emitUnchanged is on), REAPPEARED or EXPIRED (only after a run that scanned the whole scope, and only with emitExpired). stateKey names or shares the stored state. Price, stock and availability changes are the signal; the actor's own timestamp and the live viewer counter never mark a row changed. ignoreFieldsForChanges adds your own fields to that ignore set. With incremental mode off, output is exactly as before.

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape: the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each record, not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify → Settings → Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. (If the picker is empty, you haven't authorized a connector yet.)
3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Input Parameters

Parameter	Type	Default	Description
mode	string	search	search or url.
shops	array	["shopthemasonjar"]	Shop slugs or shop links (search mode).
urls	array	sample	Shop, collection, product and live links (url mode).
collections	array	["all-items"]	Collection keys walked per shop.
searchQuery	string	(none)	Keyword narrowing per collection.
inStockOnly	boolean	false	Only products currently in stock.
fetchDetails	boolean	true	Full detail page per product (adds a per-product surcharge).
includeLive	boolean	true	Live-show status, replays and shoppable videos per shop.
minPrice	number	(none)	Floor on the product's lowest variant price, USD.
maxPrice	number	(none)	Cap on the product's lowest variant price, USD.
maxItems	integer	20	Stop after this many records (0 = no limit).
maxPages	integer	0	Page ceiling per shop or link (0 = no page limit).
ignoreFieldsForChanges	array	(none)	Extra fields ignored by incremental change detection.
proxy	object	Apify Proxy	Connection settings.
resumeFromRunId	string	(none)	Continue one interrupted run.
incrementalMode	boolean	false	Return only new and changed records on scheduled runs.
stateKey	string	(none)	Name or share an incremental-mode state.
emitUnchanged	boolean	false	Also return (and bill) unchanged records.
emitExpired	boolean	false	Also return (and bill) expired records.
mcpConnectors	array	(none)	Optional: send a summary of each record to apps you authorized under Integrations.
notionParentPageUrl	string	(none)	Notion connector only: page under which records are created.
maxNotifyListings	integer	50	Cap on items written to each connector per run.

Output Example

Sample shape: values are illustrative placeholders, not from a live record.

Product record:

{
  "recordType": "product",
  "shopSlug": "samplestore",
  "shopUrl": "https://samplestore.commentsold.com/",
  "productId": "12345",
  "name": "Sample Cardigan",
  "slug": "sample-cardigan",
  "brand": "Sample Brand",
  "sku": "10010012345",
  "badge": "RESTOCK",
  "description": "A soft knit cardigan with cuffed sleeves.",
  "priceMin": 24.99,
  "priceMax": 34.99,
  "currency": "USD",
  "inStock": true,
  "totalStock": 42,
  "variantCount": 6,
  "variants": [{ "variantId": 1, "color": "Oatmeal", "size": "M", "price": 29.99, "salePrice": 24.99, "quantity": 7, "inStock": true }],
  "imageUrl": "https://example-cdn.com/sample.jpg",
  "imageUrls": ["https://example-cdn.com/sample.jpg"],
  "videoUrl": null,
  "detailCollections": ["Sample Tops"],
  "relatedProductIds": ["12346"],
  "collectionKey": "all-items",
  "url": "https://samplestore.commentsold.com/api/products/12345",
  "searchMode": "search",
  "searchQuery": null,
  "scrapedAt": "2026-10-11T12:00:00Z"
}

Live-show record: Live-show rows carry showId, title, status (live or idle), isLiveNow, viewerCount, productCount and the show link; shoppable-video rows carry clipId, title, productIds and the video link. Every row carries the shop slug, the shop address and the scraped timestamp.

Plan Requirement

The default proxy setting works out of the box, and the actor rotates connections automatically when one is refused. For large or frequent runs, the residential proxy group gives more headroom; pick it under Connection. If your Apify plan does not include proxy access, the run fails with a clear message instead of returning an empty result; a paid plan with proxy access is required.

FAQ

How much does it cost?

You pay per record returned, with product details billed only when you switch them on and they land in your dataset. The Pricing tab shows the current rates. Use Max items to cap the cost of any run.

Is it legal to scrape CommentSold shops?

This actor collects only publicly available shop data. You are responsible for how you use it: follow the shops' terms and the laws that apply to you, and get legal advice if you plan commercial redistribution. Product facts such as prices and stock levels are generally facts, but photos, descriptions and videos may be subject to third-party rights.

Can I get only new or changed products on a schedule?

Yes. Schedule the actor from the Schedules tab and turn on Incremental mode. Each run then returns only new and updated records, and unchanged ones are not billed. Price, stock and availability changes are the signal.

Why did a run return fewer products than the shop shows?

Search mode stops at Max items, first shops and collections first. Set it higher, or to 0, to collect whole catalogues. A keyword or stock filter also narrows the walk, and detail enrichment never drops a product whose detail read failed.

Why did my run fail instead of returning an empty dataset?

If every shop refused the connection, or every shop requires shoppers to log in, the run stops with a clear message so "no products today" is never confused with "nothing could be read". Run it again in a few minutes. If only some shops could be read, you still get what was found, with a note naming the shops that were skipped.

Do shops have product reviews?

No. The shops do not publish ratings or review texts on their public pages, so there is nothing to collect. If a shop adds them later, they will appear in a later version of this actor.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

🔗 Want more e-commerce data?

Pair this actor with these related scrapers from the same team:

👗 24S Scraper Scrape 24S luxury fashion by category, filters, or URL. Extract brand, name, price...	🏷️ 2dehands & 2ememain Scrape classifieds from 2dehands.be and 2ememain.be by keyword, filters, or URLs. Returns...
🛒 A101 Turkey Scraper Scrape A101.com.tr products across A101 Ekstra and A101 Kapıda. Extract 80+ fields...	🥦 ALDI AU Scraper Scrape ALDI Australia (aldi.com.au) products: name, brand, price, was-price, savings...
🛒 Amazon Australia Product & Reviews Scraper Scrape Amazon Australia (amazon.com.au) products and customer reviews. Search by keyword...	🛒 Americanas Brazil Scrape Americanas Brazil (americanas.com.br) by keyword, department or pasted link...

👉 Browse all abotapi scrapers

💬 Support & custom scrapers

• 🐞 Found a bug or a missing field? Open a ticket on the Issues tab. We usually reply within hours.
• 🛠️ Need another site, extra fields or a private build? Email contact@abotapi.com or message Telegram @abotapi.
• ⭐ Enjoying it? A quick review on the actor page helps other users find it.