PissedConsumer Scraper | Complaints & Reviews API

Scrape PissedConsumer reviews and complaints at scale — one dataset row per review with ratings, reviewer details, pros and cons, reported loss, and company replies. API-ready, proxy-aware, and built for brand reputation monitoring, scambuster research, competitor intelligence, and consumer-insights teams.

Main Use Cases

• Brand reputation monitoring — track new complaints about your company (or your clients') as they appear, and watch ratings and reported losses over time.
• "Is this company legit?" research — pull public complaint history before a purchase, partnership, or vendor decision.
• Competitor complaint intelligence — mine what customers dislike about rivals, including recurring product, billing, and service issues.
• Refund & customer-service escalation research — find reviews that mention refunds, chargebacks, and unresolved support tickets.
• Product quality issue tracking — cluster cons and complaint text to spot defects, shipping problems, and policy violations.
• Consumer insights & trend analysis — feed structured complaint data into dashboards, NLP models, and AI agents.

How It Works

1. Give the Actor one or more company review feed URLs (for example https://walmart.pissedconsumer.com/review.html) or bare company slugs (walmart, amazon, delta-airlines).
2. The Actor expands slugs into review feeds and crawls them with a fast CheerioCrawler (plain HTTP, no browser).
3. Pagination is followed automatically and bounded by maxPagesPerCompany and maxRequestsPerCrawl.
4. Each review is parsed with schema.org microdata selectors and written as one dataset row.
5. If PissedConsumer serves an anti-bot CAPTCHA, the run fails with a clear message — enable Apify Proxy and retry.

Monitor Brand Reputation With Consumer Complaints Data

PissedConsumer is a US consumer-advocacy platform where people post reviews and complaints about companies. This Actor turns those public company review feeds into structured rows you can alert on, score, and chart. Schedule it weekly to catch rising complaint volume, new one-star reviews, or spikes in reported loss before they become a PR problem.

Research Company Trust Before You Buy

Customers routinely search "[company name] complaints", "[company name] scam", or "[company name] reviews" before spending money. This Actor lets research teams and AI agents assemble that public evidence at scale: aggregate ratings, verified-reviewer flags, reviewer locations, and the exact issues people report — across hundreds of companies in a single run.

Input

Add company feeds to Start URLs or bare slugs to Company slugs. See the input tab for full configuration options.

Field	Type	Required	Default	Notes
startUrls	array	No	[{ "url": "https://walmart.pissedconsumer.com/review.html" }]	Company review feed URLs. Pagination is followed automatically.
companySlugs	array	No	["walmart"]	Bare subdomains expanded to https://SLUG.pissedconsumer.com/review.html.
maxReviews	integer	No	50	Max reviews saved per run. Free users are capped at 10.
maxPagesPerCompany	integer	No	10	Max listing pages per company; each page holds ~15 reviews.
maxRequestsPerCrawl	integer	No	100	Global request cap for the whole run.
proxy	object	No	{ "useApifyProxy": false }	Standard Apify Proxy picker. Enable if you see CAPTCHA errors.

If both startUrls and companySlugs are empty, the Actor runs a demo feed (walmart).

Output

One dataset item per review. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Field	Type	Description
company / companySlug	string	Company name and PissedConsumer subdomain slug.
companyRating / companyReviewCount	number	Aggregate rating and registered-review count from the page header.
reviewId / reviewUrl	string	Stable review ID and direct review URL.
reviewerName / reviewerLocation	string	Reviewer display name and location.
reviewerVerified / reviewerProfileUrl	boolean / string	Verified-reviewer flag and profile URL.
rating	number	Star rating of the individual review.
title / text	string	Review headline and full body.
pros / cons	array	Lists attached to the review (often empty).
reportedLoss	string	Monetary loss text reported by the reviewer (e.g. "$60").
preferredSolution	string	The reviewer's recommended solution.
date	string	Publication timestamp.
helpfulVotes	number	Helpful-vote count when exposed (often null).
responseCount / responses	number / array	Comment count and inline response sample (up to 20).
companyReplies	array	Responses flagged as official company replies.
pageNumber / sourceUrl / scrapedAt	number / string / string	Source page, feed URL, and ISO scrape timestamp.

Example Input

{
    "companySlugs": ["walmart"],
    "maxReviews": 50,
    "maxPagesPerCompany": 5,
    "maxRequestsPerCrawl": 100,
    "proxy": { "useApifyProxy": true }
}

Example Output

{
    "company": "Walmart",
    "companySlug": "walmart",
    "companyRating": 2.2,
    "companyReviewCount": 4563,
    "reviewId": "7208719",
    "reviewUrl": "https://walmart.pissedconsumer.com/never-ever-again-818384.html",
    "reviewerName": "Nancy M Mqf",
    "reviewerLocation": "Newport News, Virginia",
    "reviewerVerified": true,
    "reviewerProfileUrl": "https://www.pissedconsumer.com/people/30517346.html",
    "rating": 2.0,
    "title": "I was charged $60 for shipping on 2 mattresses",
    "text": "I was charged $60 for shipping on 2 mattresses ordered online...",
    "pros": ["Good prices"],
    "cons": ["Poor customer service"],
    "reportedLoss": "$60",
    "preferredSolution": "disclose all information",
    "date": "2026-05-11 17:40:01",
    "helpfulVotes": null,
    "responseCount": 246,
    "responses": [
        { "commentId": "2849178", "authorName": "Robert M Wrf", "date": "2026-05-02 03:54:16", "text": "...", "isOfficialReply": false }
    ],
    "companyReplies": [],
    "pageNumber": 1,
    "sourceUrl": "https://walmart.pissedconsumer.com/review.html",
    "scrapedAt": "2026-09-17T12:00:00.000Z"
}

Integrations

This Actor works with the whole Apify platform:

• API — start runs and pull the dataset programmatically from any language via the Apify API.
• Webhooks — trigger downstream jobs (Slack, email, your backend) when a run finishes.
• Zapier / Make / n8n — push new complaint rows into spreadsheets, CRMs, or ticketing tools with no code.
• Scheduling — run weekly for routine brand reputation monitoring, or daily for high-risk brands and active incidents.
• AI agents — point agents at the dataset URL to power RAG pipelines over consumer complaints.

Related Actors

• Trustpilot Scraper (memo23) — export Trustpilot reviews with company replies across 40+ fields.
• Trustpilot Reviews Scraper (automation-lab) — ratings, replies, reviewer info, and company data.
• ConsumerAffairs Reviews Scraper (ahmed_jasarevic) — another major consumer-complaints platform.
• Trustpilot Reviews Scraper (ahmed_jasarevic) — cross-check brand trust against Trustpilot.
• Sitejabber Scraper (zadexinho) — Sitejabber reviews, ratings, and business profiles.

FAQ

Does PissedConsumer have an official API? No public review API is documented, so this Actor reads the public, server-rendered review feeds instead. That means no API keys, no login, and no rate-limited account — just structured data from pages any visitor can see.

What is an alternative to the official PissedConsumer API? Use this Actor as a scraper-based alternative. It returns clean JSON you can query via the Apify API, schedule, or pipe into a database, and it follows pagination automatically.

How do I check a company's complaints at scale? Add every company you care about to companySlugs, set maxReviews and maxPagesPerCompany, and run. You get one row per complaint with rating, text, and reported loss so you can rank companies by severity.

How do I monitor brand reputation continuously? Schedule the Actor (weekly or daily). Each run appends fresh reviews to a dataset you can diff, alert on, or chart.

Can I get competitor complaint intelligence? Yes — run the same input against competitor slugs and compare cons, reported losses, and response behavior side by side.

Why am I seeing a CAPTCHA? PissedConsumer applies IP-reputation checks. Enable the Proxy configuration input (residential recommended at scale) and retry.

How much does it cost? This Actor charges $0.005 per result (per review row) plus a small per-run start fee. Free Apify users get a capped preview of 10 reviews.

SEO Keywords

pissedconsumer scraper, pissedconsumer reviews, company complaints data, consumer complaints scraping, company reviews scraper, brand reputation monitoring, complaint data api, company trust research, is company legit research, scam reports data, customer complaint dataset, competitor complaint intelligence, refund complaints research, company rating data, consumer insights data, reputation management data, business trust score, review monitoring api, consumer sentiment analysis, ecommerce seller complaints

For AI Agents & LLM Apps

Purpose: Give AI agents structured access to public PissedConsumer complaint data for company-trust research, brand monitoring, and consumer-insight tasks.

Minimal input JSON:

{ "companySlugs": ["walmart"], "maxReviews": 50 }

Key output fields: company, companySlug, companyRating, reviewId, reviewerName, rating, title, text, pros, cons, reportedLoss, preferredSolution, date, responses, companyReplies.

Behaviors:

• Input priority — explicit startUrls are used first; companySlugs are then expanded to review feeds. If both are empty, a demo feed (walmart) runs.
• Pagination — controlled per company by maxPagesPerCompany; total requests capped by maxRequestsPerCrawl.
• Empty results — if a page yields no review cards, the Actor logs a warning rather than inventing data.
• Billing — pay-per-result at $0.005 per review row (plus a small start fee). Cap spend with maxReviews.
• Proxies — if a CAPTCHA is detected the run fails loudly; enable proxy.useApifyProxy to continue.

Legal & Compliance Disclaimer

This Actor is independent and is not affiliated with, endorsed by, or sponsored by PissedConsumer. It only collects content from publicly accessible pages. You are responsible for complying with PissedConsumer's Terms of Service, robots.txt, and all applicable laws (including GDPR and other privacy regulations) when you use it.

The output can contain reviewer-provided personal information such as display names, locations, and profile URLs, alongside review text that may quote personal details. Use this data responsibly: keep a legitimate reason for processing it, minimize and secure what you store, avoid combining it with other personal data unnecessarily, and respect data-subject rights. Do not use the data for harassment, doxxing, or any unlawful purpose.

Review content reflects the opinions of its authors, not this Actor's developer or PissedConsumer, and should not be treated as verified fact. Found a broken selector or changed markup? Please report it via the Issues tab with the company URL and run ID.