Wayfair Reviews API
Scrape Wayfair Reviews data with one API call. Returns written customer reviews for a Wayfair product, 10 per page, each with the review text, star rating, reviewer name and location, submission date, verified-purchase flag, and any reviewer photos. Pages do not overlap and the review total is stable across pages, so a full crawl is deterministic: pass the returned cursor back until has_more is false. Wayfair does not publish helpful-vote counts or review headlines, so those fields are always null here.
Last updated September 2026Maintained by the SocialCrawl team
Returns written Wayfair reviews for one SKU, ten per page, each with the text, star rating, reviewer name and location, date, and any photos.
Use it to read what buyers actually said about a product. Pages do not overlap and the total is stable, so a full crawl is predictable.
Searching 65 platforms in parallel
What can you do with the Reviews API?
The Reviews endpoint gives you structured Wayfair data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/wayfair/reviews?sku=W003564166"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/wayfair/reviews",
params={
'sku': 'W003564166',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/wayfair/reviews?sku=W003564166",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| sku | Yes | Wayfair product SKU, the alphanumeric id at the end of a wayfair.com product URL: wayfair.com/furniture/pdp/<name>-w003564166.html is SKU W003564166. SKUs also come back on every row of GET /v1/wayfair/search. |
| country | No | Wayfair marketplace as a two-letter country code: US (wayfair.com, default), CA, GB, IE, or DE. A SKU from one marketplace will not always resolve in another. (US | CA | GB | IE | DE) |
| page | No | Page number, starting at 1. Prefer the universal cursor parameter. |
| sort_order | No | Review ordering: relevance (default), helpful, date_ascending, date_descending, rating_ascending, or rating_descending. (relevance | helpful | date_ascending | date_descending | rating_ascending | rating_descending) |
| star | No | Return only reviews with this star rating, 1 to 5. |
| label | No | Optional CSV of SocialCrawl labels to add to every review. Without this param every page already carries sentiment and issue, free; label= adds the labels you name to them (the defaults keep running). sentiment and issue are free when asked for too; reports and incentivized add 1 credit per started 25 newly judged reviews. judgments=off (or label=none) turns the default labels off. They read the review's title and text, never its stars. sentiment: how the reviewer feels, on five levels (level 0 to 4, score_0_1, confidence), plus rating_mismatch, true when the words clearly contradict the star rating (a glowing text under 1 star, a furious one under 5), null when the review has no rating. issue: the main problem the review reports (label: product_defect, sizing_or_fit, shipping_or_delivery, customer_service, price_or_value, missing_feature, other, or none, with confidence; label is null when unsure). reports (needs reports=): does this review say that the thing you describe happened (p, 0 to 1). incentivized: does the reviewer say they got the product free, discounted or rewarded for the review (p), and did the text carry a disclosure such as 'in exchange for my honest review', Vine or 체험단 (disclosed). These are signals to read, never a verdict on a review or a reviewer. A review that could not be judged carries labels: null. Reviews already labelled for anyone are free, and so is a cached page. data.labels reports what was judged and billed. |
| reports | No | Required by label=reports, ignored otherwise. What to look for, in plain words, up to 300 characters, for example reports=the battery drains quickly or reports=배송이 늦음. Every review gains labels.reports.p, the probability that it says so, in any wording or language. Without it label=reports is skipped with the warning label_reports_needs_reports and is not billed. |
| judgments | No | Optional, on (the default) or off. By default every row gains free SocialCrawl judgments (computed.labels, and computed.relevance on search endpoints), reported in data.labels (mode default) and data.relevance (origin default), each with a status (complete, partial or skipped) and pending: the rows still being judged when the page was sent, which carry null now and are filled on your next call or cached read. Default judgments never add credits, never change an existing field, and never drop or reorder a row. off returns the page exactly as before, with none of those keys. label=none does the same. (on | off) |
| dry_run | No | Optional. When 1, return a cost preview for this labelled or relevance-filtered request without fetching the page or judging any row. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged. (1) |
| label_evidence | No | Optional, only with label=. When 1, every labelled row also carries computed.labels_evidence.<preset> = { quote, sentence_index }: the sentence in the row that most clearly shows the label, copied verbatim. Absent or null when no single sentence shows it. (1) |
What does the Wayfair Reviews API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"success": true,
"platform": "wayfair",
"endpoint": "/v1/wayfair/reviews",
"data": {
"items": [
{
"review": {
"id": "182187844",
"entity_id": "W003564166",
"url": null,
"title": null,
"text": "Please don’t buy this product. I got it and you can’t sit on it too long. Is very uncomfortable after an hour. I read all the reviews and it’s not worth buying. And I couldn’t send it back because I didn’t have a box.They wanted me to pay for the shipping.",
"rating": {
"value": 1,
"max": 5
},
"author": {
"name": "Sandra",
"avatar_url": null,
"url": null,
"location": "Marion, IN",
"reviews_count": null
},
"helpful_votes": null,
"verified": true,
"source": null,
"language": "en",
"original_language": null,
"translated": null,
"images": [
"https://assets.wfcdn.com/im/494105377/"
],
"responses": null,
"published_at": "2026-09-14T00:00:00.000Z"
}
},
{
"review": {
"id": "179669368",
"entity_id": "W003564166",
"url": null,
"title": null,
"text": "Excellent chair. Highly recommend.",
"rating": {
"value": 5,
"max": 5
},
"author": {
"name": "Daniel Sneade",
"avatar_url": null,
"url": null,
"location": "Florida",
"reviews_count": null
},
"helpful_votes": null,
"verified": true,
"source": null,
"language": "en",
"original_language": null,
"translated": null,
"images": [
"https://assets.wfcdn.com/im/471740011/"
],
"responses": null,
"published_at": "2026-07-30T00:00:00.000Z"
}
}
],
"total": 2191,
"dropped": 0
},
"credits_used": 5,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.eyJ2IjoyLCJjIjoiMiIsImUiOiJ3YXlmYWlyL3Jldmlld3MiLCJwIjoicGFnZSJ9",
"has_more": true,
"page_size": 10
},
"credits_remaining": 9999
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the Wayfair Reviews API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 65 platforms covering 10B+ monthly active users.
One schema, every platform
Query 65 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.
See your data before you code
Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.
import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Ready to scrape Wayfair Reviews data?
Get your API key and start pulling Wayfair data in under 60 seconds.
