ConsumerAffairs Reviews Scraper

What does ConsumerAffairs Reviews Scraper do?

ConsumerAffairs Reviews Scraper extracts structured company data from consumeraffairs.com — including seller ratings. It supports keyword search and controllable result limits, so you can run the same query consistently over time.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🏢 Employer details: companyName, companyUrl and companyLogo name the employer behind each record.
• ⭐ Ratings and review counts: rating for every record that has them.
• 🖼️ Images: images with every image URL, not just the thumbnail.
• 🔍 Keyword search: search consumeraffairs.com by keyword with the query input.
• 🔗 Paste-mode: paste consumeraffairs.com URLs into startUrls to scrape exactly the pages you picked in the browser.
• ↕️ Sort order: choose the result order with the sortBy input.
• ♻️ Incremental mode: recurring runs emit only directory entries that are new or updated — keep your supplier-outreach lists fresh without re-fetching the full directory. Saves 80–95% on weekly syncs.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 📦 Compact mode: compact directory entries — name, contact, location, industry — ready to import into your CRM or outreach tool.
• 🔌 MCP connectors: push your leads into Notion via Apify's MCP connectors — a tidy run-summary page, no export step, no glue code. Opt-in, deterministic field-mapping (no AI). More destinations as Apify's connector catalog grows.

What data can you extract from consumeraffairs.com?

Each result includes Core company fields (listingId, reviewId, title, entityName, location, url, portalUrl, and rating, and more), extended fields (detailFetched), and company metadata (companyResponse, companyResponseDate, companyName, and companyUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Company name as listed on ConsumerAffairs (e.g. "Verizon Wireless"). Use a JSON array for several companies: ["Verizon Wireless","T-Mobile"]. Required if no start URLs are provided.
• maxResults — Maximum total reviews (0 = every listed review). (default: 100)
• startUrls — Paste ConsumerAffairs company profile URLs (e.g. https://www.consumeraffairs.com/cell_phones/verizon_wireless.html). Each URL becomes its own task; reviews are merged and deduped by review ID across all URLs. When provided, start URLs REPLACE the company field. (default: [])
• maxReviewsPerCompany — Stop after this many reviews for each company, so one large company does not use up Max Reviews for the rest. 0 = no per-company limit. (default: 0)
• reviewsSince — Only reviews dated on or after this day (YYYY-MM-DD). When sorted newest first, reading stops at the first page of older reviews. Leave empty for every review.
• sortBy — Order the reviews are read in: newest first, oldest first, most helpful, or the site's top reviews. Max Reviews keeps the first ones in this order. (default: "recent")
• starRatings — Only reviews with these star ratings, e.g. 1 and 2 for complaints. Leave empty for every rating. (default: [])
• reviewTextMaxLength — Truncate the review body to N characters. 0 = full text. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Compare against the previous run and return only new or changed reviews. stateKey is optional — defaults to a value derived from the companies / start URLs you asked for, so different inputs never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked set of reviews. Leave empty to auto-generate from the company / start URLs.
• ...and 16 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "Verizon Wireless",
  "maxResults": 50
}

Incremental tracking — Only emit records that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "Verizon Wireless",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "verizon-wireless-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "Verizon Wireless",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured company records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example company record

{
  "listingId": "5060bd866061847de68df76385d061e5fa871ad6b01991cc8b05a3696b5f3b3c",
  "reviewId": "14072832",
  "title": "Verizon Wireless",
  "entityName": "Verizon Wireless",
  "location": "Valparaiso, IN",
  "url": "https://www.consumeraffairs.com/cell_phones/verizon_wireless.html#review=14072832",
  "portalUrl": "https://www.consumeraffairs.com/cell_phones/verizon_wireless.html#review=14072832",
  "rating": 1,
  "reviewDate": "2026-10-13",
  "reviewDateText": "Reviewed Oct. 13, 2026",
  "reviewUpdated": false,
  "verifiedPurchase": false,
  "helpfulCount": 0,
  "tags": [
    "Customer Service"
  ],
  "text": "If I could leave less than 1, I would. I finally decided to upgrade my phone and ordered it online. It’s a free overnight shipping so it says. Evidently, you have to be home and available from 0800am...",
  "authorName": "Angela",
  "authorLocation": "Valparaiso, IN",
  "companyName": "Verizon Wireless",
  "companyUrl": "https://www.consumeraffairs.com/cell_phones/verizon_wireless.html",
  "companyRating": 1.3,
  "companyRatingCount": 9675,
  "companyCategory": "Cell Phones",
  "companyCategoryUrl": "https://www.consumeraffairs.com/cell_phones/",
  "companyLogo": "https://cdn-mediahub.consumeraffairs.com/verizon-wireless_logo_21830/o/130/x.webp",
  "companyAccredited": false,
  "page": 1,
  "position": 1,
  "searchQuery": "Verizon Wireless",
  "contentQuality": "full",
  "detailFetched": false,
  "scrapedAt": "2026-10-13T14:46:47.582Z",
  "source": "consumeraffairs.com",
  "contentHash": "67717ecb4f67928f11a51563336a2f6e3879e3aa2a9baf1fc907672e64e38385"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, REAPPEARED.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape consumeraffairs.com

1. Go to ConsumerAffairs Reviews Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract company data from consumeraffairs.com for market research and competitive analysis.
• Monitor new and changed records on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape consumeraffairs.com?

Pricing for ConsumerAffairs Reviews Scraper has not been finalized yet. It will be published here before the actor becomes publicly available.

You only use your normal Apify platform resources when you run the actor from your own account.

FAQ

How many results can I get from consumeraffairs.com?

The number of results depends on the search query and available records on consumeraffairs.com. Use the maxResults parameter to control how many results are returned per run.

Does ConsumerAffairs Reviews Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed records on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate ConsumerAffairs Reviews Scraper with other apps?

Yes. ConsumerAffairs Reviews Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use ConsumerAffairs Reviews Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use ConsumerAffairs Reviews Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape consumeraffairs.com?

This actor extracts publicly available data from consumeraffairs.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on consumeraffairs.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with ConsumerAffairs Reviews's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by ConsumerAffairs Reviews or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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