PissedConsumer Scraper — Complaints & Reviews Extractor

Extract structured consumer complaints and reviews from PissedConsumer.com at scale. Give the actor a company page, a category, a search keyword, or a direct complaint URL and it returns one clean row per complaint: author, rating, date, headline, full text, location, comments, photos, and (on detail pages) pros, cons, monetary loss, preferred solution, company address, and video.

Why use this PissedConsumer Scraper

PissedConsumer is one of the largest consumer-complaint databases on the web — over a million reviews across tens of thousands of companies. This actor turns those unstructured review pages into clean, analyst-ready rows without a browser, without an account, and without anti-bot workarounds.

• One row per complaint, with the full review body and inline comments.
• Company pages, category indexes, keyword search, and direct complaint URLs all supported.
• Detail pages add pros, cons, monetary loss, preferred solution, company address, all photos, and embedded video.
• Sliding-window concurrency with per-request proxy rotation for throughput.
• No login, no cookies, no headless browser — fast and cheap to run.

Overview

PissedConsumer.com (operated by Opinion Corp.) lets consumers publish complaints and reviews about any company. Each company has a listing page ({slug}.pissedconsumer.com/review.html) with paginated review snippets; each individual complaint has a detail page with the full review, pros/cons, monetary loss, preferred solution, company address, photos, video, and threaded comments. The site exposes rich schema.org microdata on every page, which this actor parses directly.

Supported inputs

You provide	Example
A company page URL	https://amazon.pissedconsumer.com/review.html
A category URL	https://www.pissedconsumer.com/search-companies/category/electronics.html
A search URL	https://www.pissedconsumer.com/browse-reviews.html?query=Temu
A search keyword	Temu
A direct complaint URL	https://amazon.pissedconsumer.com/{complaint-slug}-{id}.html

Company, category, and search URLs are expanded into company listing pages automatically. Direct complaint URLs return the full detail row (pros, cons, monetary loss, company address, video, all photos).

Use cases

• Build a consumer-sentiment dataset for a brand or category.
• Track complaint volume, ratings, and themes for competitor companies over time.
• Enrich a lead-generation pipeline with company addresses and complaint context.
• Surface recurring product or service issues (pros/cons, monetary loss, preferred solution).
• Feed a reputation-monitoring or review-aggregation product.

How it works

1. You supply one or more start URLs and/or a search keyword.
2. The actor resolves category and search URLs into company listing pages.
3. For each company, it pages through the listing (rel="next"), parsing each Review microdata block into a complaint row.
4. Direct complaint URLs are fetched as detail pages, adding pros, cons, monetary loss, preferred solution, company address, all photos, and video.
5. Each complaint is written to the dataset as one clean row.

Input configuration

Field	Type	Default	Description
startUrls	array	—	PissedConsumer URLs: company pages, category pages, search URLs, or direct complaint pages.
searchQuery	string	—	Search PissedConsumer for companies by name (e.g. Amazon).
maxItems	integer	1000	Maximum complaints to scrape.
maxPages	integer	0	Max listing pages per company (0 = unlimited).
maxConcurrency	integer	10	Pages fetched in parallel.
proxy	object	built-in	Optional proxy override; the actor ships with residential proxy support.

Output overview

One dataset item per complaint. Example (trimmed) for a listing-level row:

{
  "source": "listing",
  "companyName": "Amazon",
  "companySlug": "amazon",
  "complaintId": "202512187009405",
  "url": "https://amazon.pissedconsumer.com/they-canceled-claim-whet-i-have-in-writing-202512187009405.html",
  "author": "Mark s Ohy",
  "authorUrl": "https://www.pissedconsumer.com/people/29624045.html",
  "verifiedReviewer": true,
  "rating": 1,
  "bestRating": 5,
  "headline": "They canceled claim whet I have in writing",
  "reviewBody": "First, I put an order in. I didn't even know it was through a third party...",
  "datePublished": "2025-12-18 09:16:19",
  "location": "Boise, Idaho",
  "commentCount": 4,
  "upvoteCount": 5,
  "comments": [
    { "author": "Guest-2983222", "date": "2026-07-18 22:25:44", "text": "...", "upvoteCount": 5 }
  ],
  "featured": true
}

Example (trimmed) for a detail-level row from a direct complaint URL:

{
  "source": "detail",
  "companyName": "Amazon",
  "companySlug": "amazon",
  "complaintId": "202512187009405",
  "url": "https://amazon.pissedconsumer.com/they-canceled-claim-whet-i-have-in-writing-202512187009405.html",
  "author": "Mark s Ohy",
  "rating": 1,
  "headline": "They canceled claim whet I have in writing",
  "reviewBody": "...",
  "datePublished": "2025-12-18 09:16:19",
  "location": "Boise, Idaho",
  "pros": "Large selection, Easy to find items decent prices.",
  "cons": "Customer service is horrible, Quality has gone down.",
  "monetaryLoss": "$236.",
  "preferredSolution": "Full refund.",
  "commentCount": 4,
  "viewCount": "1.1K views",
  "images": ["https://cdn0.opinion-corp.com/..."],
  "video": { "contentUrl": "https://youtube.com/embed/...", "thumbnailUrl": "https://img.youtube.com/.../hqdefault.jpg" },
  "comments": [ ... ]
}

Output fields

Field	Type	Description
source	string	listing or detail.
companyName	string	Reviewed company name.
companySlug	string	Company subdomain slug.
complaintId	string	PissedConsumer complaint ID.
url	string	Complaint page URL (null on listing rows without a direct link).
author	string	Reviewer display name.
authorUrl	string	Reviewer profile URL.
verifiedReviewer	boolean	Whether the reviewer is verified.
rating	number	Star rating (1–5).
bestRating	number	Always 5.
headline	string	Complaint headline.
reviewBody	string	Full complaint text.
datePublished	string	Publication timestamp.
dateModified	string	Last-modified timestamp (detail only).
location	string	Reviewer location.
commentCount	number	Number of comments.
viewCount	string	View count (detail only).
upvoteCount	number	Upvotes on the review.
comments	array	Inline comments (author, date, text, upvoteCount).
images	array	Photo URLs (detail only).
video	object	Embedded video (contentUrl, thumbnailUrl, description; detail only).
companyAddress	string	Company address (detail only, when present).
pros	string	Pros (detail only).
cons	string	Cons (detail only).
monetaryLoss	string	Reported monetary loss (detail only).
preferredSolution	string	Preferred resolution (detail only).
featured	boolean	Whether the review is featured on the listing.

Limitations

• Listing pages do not expose direct complaint URLs for non-featured reviews (the date shown is last-activity, not the post date, so URL construction is unreliable). Pass direct complaint URLs as startUrls to get full detail rows.
• The site paginates with rel="next" alternating between /complaints/RT-P.html and /reviews/RT-P.html; the actor follows both.
• Very large companies (e.g. Amazon) have 100K+ reviews; use maxPages to cap crawl depth.

Changelog

• 0.0 — initial release: company, category, search, and direct-complaint crawling; listing + detail parsing; sliding-window concurrency.