LTK Scraper - Creator Shops, Posts & Linked Products

LTK Scraper turns LTK (shopltk.com, formerly rewardStyle/liketoknow.it) into a clean data API. Scope it by creator shops, keyword searches (summer dress) or the site's own categories (sale alerts, finds under $100, finds under $50) and get structured records for creator profiles, curated collections, every matched post with its tags and video, and every linked product with its name, price, brand and images - then export to JSON, CSV or Excel, or pull the results straight into your app through the API.

Why This Scraper?

• Three scopes in, records out. Paste creator handles or links; or run keyword searches and category feeds (salealert, findsunder100, findsunder50) across all creators. Every scope emits the same record kinds.
• Product details. Name, price, brand, availability, the retailer and the full image set on every product, straight from the shop catalog. Turn off for lightweight creator-page product cards instead.
• Retailer mapping. Every product carries the retailer display name and the affiliate link the creator earns from.
• Post-to-product graph. Every post carries its caption hashtags as tags, its video (URL, length, size, preview) when it is one, and the full Shop this post list - each product with name, price, currency, brand, availability and the affiliate link.
• Creator profiles. Display and full names, Instagram handle, blog, bio, avatar, follower count, height and body shapes on every creator record.
• Change kinds. Filter the dataset by record kind (creator, collection, post, product) to feed exactly the downstream job you have.
• Built for schedules. Incremental mode returns only new and changed records on recurring runs, and a refused run fails loudly instead of returning an empty dataset.

Use Cases

• Who: affiliate-intelligence teams - track which creators link which retailers and how their shop catalogs evolve.
• Who: trend researchers - collect creator post captions and product retailers for trend and market studies.
• Who: creator-marketing teams - profile a creator's shop size, posting cadence and retailer mix before outreach.

Data You Get

Sample shape: one row per record (creator, collection, post or linked product).

Field	Example
recordId	shopltk:creator:amberfillerup
kind	creator / collection / post / product
handle	amberfillerup
displayName	amberfillerup
followerCount	40710
heightCm	162.56
bodyShapes	["Petite", "Athletic / fit"]
itemCount	3
caption	post caption text
tags	["#LTKOver40", "#LTKHome"]
shopThePost	[{name, price, currency, brand, …}] per post
isVideo	true
videoUrl	https://stream.mux.com/…/capped-1080p.mp4
postId	the post a product appears in
name	Khaite Jett Leather Miniskirt in Black at Nordstrom, Size 12
price	1680
brand	Nordstrom
imageUrls	["https://product-images-cdn.liketoknow.it/…", "…"]
retailer	Revolve Clothing (Global)
link	https://rstyle.me/+…
postCount	54
productCount	181
collectionCount	5
url	https://www.shopltk.com/explore/amberfillerup
changeType	NEW

How to Use

1. Pick the mode in What to scrape: Search (keywords like summer dress across all creators) or Links - paste any LTK link, URL path or bare handle (creator pages or just the handle, posts, liketk.it share links, collection pages, category links or paths like /categories/salealert, search links or paths like /search?keyword=summer+dress) and each routes to its own walk. Leave the links empty to walk one example of every type (including the deals feeds).
2. Set Max items for the run cap (20 by default; 0 runs until the walk ends naturally). Product details is on by default: products carry name, price, brand and every image.
3. Run the actor and export the dataset, or select an MCP connector to send records into your apps.

Mode: Links - creators, posts, categories, anything:

{"urls": ["amberfillerup", "https://liketk.it/5XXza", "https://www.shopltk.com/categories/salealert"], "maxItems": 100}

Mode: Search (or Categories):

{"mode": "search", "searchQueries": ["summer dress"], "maxItems": 100}

Watch a creator on a schedule (Links mode):

{"urls": ["amberfillerup"], "incrementalMode": true, "stateKey": "ltk-watch", "maxItems": 0}

Run it from your code

Run it from Python:

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("abotapi/shopltk-com-scraper").call(run_input={
    "creators": ["amberfillerup"],
    "maxItems": 20,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Run it from JavaScript:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('abotapi/shopltk-com-scraper').call({
  creators: ['amberfillerup'], maxItems: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Tips

• Each creator yields four kinds of rows: one creator profile row, one row per curated collection, one row per shop post, and one row per linked product. Filter the dataset by kind.
• Creator scopes emit rows per creator in this order: profile, products (newest first), posts, collections. A capped run returns the head of that order - so the default 20 yields the profile and the 19 newest products with prices; raise Max items (or set 0) to include posts and collections.
• Search and category scopes emit matched posts first, then their products with prices, each row carrying matchedQuery or matchedCategory so you can tell which scope produced it.
• With Product details on (default), each product carries its name, price, brand, availability and every image from the shop catalog.
• Video posts carry the video URL (MP4 and HLS), length, size and a preview image; image posts carry the hero image with its pixel dimensions.

Send results into your apps (MCP connectors)

Optionally send records into the apps you already use through MCP connectors: set MCP connectors (for example a Notion database) and cap the export with Max items to export per connector. The export is a gated side channel: it never changes the dataset.

Field	What it does
mcpConnectors	Connector ids to export to (empty = no export).
notionParentPageUrl	URL or id of the Notion parent page (required for the Notion connector).
maxNotifyListings	Cap on records written to each connector per run.

Input Parameters

Parameter	Type	Default	Description
mode	select	urls	What to scrape: search or urls (links).
searchQueries	array	-	Keyword searches across all creator posts (e.g. summer dress).
urls	array	one of each type	Any LTK link, URL path or bare handle, one per entry - creators, posts, liketk.it links, collections, categories, search links. Empty in Links mode = a walk of every type.
maxItems	integer	20	The single cap on the run: stop after this many records.
fetchDetails	boolean	true	Products carry full shop details (name, price, brand, all images). Off = lightweight creator-page product cards.
proxy	object	shared datacenter	Leave the default for the cheapest run. Use residential if runs fail.
resumeFromRunId	string	-	Paste a previous run ID or dataset ID to continue a large crawl without returning or charging for records already collected there.
incrementalMode	boolean	false	Track changes across scheduled runs; suppress and never bill unchanged records.
stateKey	string	-	Optional name for the incremental baseline.
emitUnchanged	boolean	false	Also return unchanged records, marked and billed.
emitExpired	boolean	false	Also return disappeared records, marked and billed.
ignoreFieldsForChanges	array	-	Extra top-level fields excluded from change detection.
mcpConnectors	array	-	Connector ids to export to (empty = no export).
notionParentPageUrl	string	-	URL or id of the Notion parent page (required for the Notion connector).
maxNotifyListings	integer	50	Cap on records written to each connector per run.

Output Example

Sample shape: the creator profile row, from a live record.

Live record: amberfillerup

{
  "recordId": "shopltk:creator:amberfillerup",
  "kind": "creator",
  "handle": "amberfillerup",
  "displayName": "amberfillerup",
  "fullName": "Amber Fillerup",
  "blogName": "Barefoot Blonde",
  "followerCount": 40710,
  "postCount": 54,
  "productCount": 181,
  "collectionCount": 5,
  "url": "https://www.shopltk.com/explore/amberfillerup"
}

Plan Requirement

This actor runs on any Apify plan. The default shared connection keeps costs low; if runs fail with connection errors, switch the proxy group to residential and try again.

FAQ

How much does it cost?

The actor is pay per event: a start fee per run, a per-record fee for every creator, collection, post or product returned, and a smaller product-details fee for every product returned with full shop details (turn Product details off to skip it). Exact prices are on the actor's Pricing tab. Max items is the cost lever: a run's record count is bounded by it.

Is it legal to scrape LTK?

The actor reads the public creator-shop pages of the LTK website: the same profile, post and linked-product data any visitor sees without an account. It does not access accounts, orders or checkout. You are responsible for using the data in line with the site's terms of use, privacy law such as GDPR or CCPA, and applicable regulations; personal data of identifiable individuals requires a lawful basis.

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

Yes. Turn on Incremental mode and schedule the actor. The first run returns everything matching as NEW; later runs return only NEW and UPDATED records. New posts, removed products, collection updates and caption edits all count as changes. Use State key to keep a monitoring campaign stable, and Emit unchanged or Emit expired only if you also want those rows (they return and bill extra rows).

Why did a run return fewer results than the site shows?

The run stops at Max items, which defaults to 20. Raise it or set it to 0 to walk the full creator shops.

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

A run whose creator page requests all failed fails loudly with a connection message instead of reporting an empty catalog. If a creator handle does not exist, the run names it and finishes with whatever matched.

Can I use it with AI agents or MCP?

Yes. Every record is plain JSON over the dataset API, and the MCP connector export sends rows straight into tools like Notion. Point an agent at the dataset items endpoint with the input above.

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