Hellopeter Reviews Scraper - South Africa

Turn South African customer feedback into structured reputation data for $5 per 1,000 reviews.

Export public reviews and reputation metrics from Hellopeter. Enter company URLs, slugs, or names and receive full review text, ratings, dates, business replies, TrustIndex, industry ranking, and company metadata - without a Hellopeter login or API key.

✅ What you get - and what this isn't

You get:

• Full public review text, title, rating, author name, date, and evidence URL
• Public company reply threads and an answered/unanswered flag
• TrustIndex, 12-month review count, industry, ranking, and response metrics
• Filters for rating and company reply status
• Clean JSON, CSV, Excel, XML, and API-ready output

This isn't:

• A generic global review scraper - it is purpose-built for Hellopeter and South Africa
• A reputation score invented by this Actor - TrustIndex and ranking are attributed to Hellopeter
• A private-data or account-access tool - only public company and review information is exported

Example Hellopeter monitoring tasks

• Monitor unanswered Capitec Bank complaints
• Compare South African telecom reviews
• Export Takealot negative reviews
• Monitor Discovery Insure review responses
• Build a South Africa brand reputation dataset

Why use this Hellopeter scraper?

• Monitor negative reviews about your brand or competitors.
• Find unanswered complaints that may indicate service problems.
• Compare TrustIndex, review volume, and industry position.
• Export South African voice-of-customer data for research or dashboards.
• Connect structured output to agents, n8n, Make, webhooks, or a data warehouse.

Built for reputation teams, customer-experience analysts, agencies, researchers, South African businesses, and developers creating review-monitoring workflows.

How to scrape Hellopeter reviews

1. Open the Input tab.
2. Add one or more Hellopeter company URLs, slugs, or business names.
3. Choose a review limit and optional rating or reply filters.
4. Click Start.
5. Download the dataset as JSON, CSV, Excel, XML, or HTML.

Input

Field	Description	Default
companyUrls	Hellopeter URLs, slugs, or company names	Capitec Bank URL
maxReviewsPerCompany	Maximum matching reviews exported per company	100
ratings	Optional 1–5 star filter	All
replyFilter	All, replied, or unanswered reviews	All

{
  "companyUrls": ["capitec-bank", "takealot"],
  "maxReviewsPerCompany": 100,
  "ratings": [1, 2],
  "replyFilter": "withoutReplies"
}

Output

Each dataset item is one review enriched with company reputation context:

{
  "reviewId": 6518387,
  "reviewUrl": "https://www.hellopeter.com/capitec-bank/reviews/example-6518387",
  "title": "Customer service issue",
  "text": "Full public review text...",
  "rating": 1,
  "publishedAt": "2026-08-02 14:41:38",
  "hasBusinessReply": false,
  "companyName": "Capitec Bank",
  "companySlug": "capitec-bank",
  "trustIndex": 5.2,
  "industryName": "Banking"
}

Output fields

Field	Meaning
reviewId, reviewUrl	Stable review identity and public URL
title, text, rating, publishedAt	Review content and score
authorName, authorReviewCount, source	Public author and source metadata
hasBusinessReply, replies	Response status and public reply thread
companyName, companySlug, companyUrl	Company identity
trustIndex, reviewsLast12Months	Hellopeter reputation metrics
industryName, industryRanking	Industry classification and position
responding, averageResponseTimeHours	Public response behaviour
scrapedAt	UTC collection timestamp

The OUTPUT key-value-store record also contains company-level run summaries and recoverable errors.

How much does it cost to scrape Hellopeter?

The base price is $5 per 1,000 successful review rows, with lower prices on higher Apify plans. There is no start fee, failed companies are not charged, and platform usage is included.

Apify plan	Price per 1,000 reviews
Free	$5.00
Bronze	$4.58
Silver	$4.17
Gold and above	$3.75

A 100-review monitoring run costs up to $0.50 on the Free plan. Set maxReviewsPerCompany to control the maximum output and cost before starting.

Example tasks

• Export the latest Capitec Bank reviews.
• Monitor unanswered one-star Takealot reviews.
• Compare telecom company TrustIndex scores.
• Collect banking complaint text for theme analysis.
• Track insurer response behaviour weekly.
• Build a South African ecommerce reputation dashboard.
• Export negative reviews to Google Sheets.
• Send new complaint datasets to an n8n workflow.
• Research recurring delivery complaints.
• Create a competitor customer-service benchmark.

Use with AI agents via MCP

Connect the Apify MCP server in Claude Desktop, Claude Code, Cursor, or another MCP client, then ask the agent to run this Actor with company names and a result limit. The stable JSON schema is suitable for downstream classification, summarization, and retrieval workflows.

Use this Actor in n8n

Use the Apify node to run the Actor, wait for completion, and read dataset items. Schedule the workflow for monitoring, filter rows where rating <= 2, and route unanswered reviews to your reporting destination.

Related reputation and review Actors

• ReclameAqui Scraper — Brazilian complaints and company reputation.
• Trustpilot Review Scraper — international company reviews.
• Review Pain Miner API — turn review datasets into ranked customer pain themes.
• Google Maps Reputation Leads Scraper — find businesses with reputation gaps.
• Website Contact Extractor — enrich company websites with public contacts.

Limits and caveats

• Hellopeter can change its public pages or data interfaces; maintained updates may occasionally be required.
• Company-name resolution selects the first active matching business. Use the exact URL or slug when names are ambiguous.
• Filters are applied while paging, so a narrow filter may require reading more source pages.
• To keep filtered runs predictable, each company scan stops after 100 source pages (up to 1,000 recent reviews). filterScanLimitReached in the run summary tells you when a narrow filter hit this safety cap.
• Review content is user-generated and may be inaccurate, sensitive, or disputed. Treat it as attributed opinion, not verified fact.
• Only public information is exported; the Actor does not log in or access private business tools.

Is it legal to scrape Hellopeter?

Web-scraping rules depend on jurisdiction, purpose, contract, and the data collected. This Actor exports publicly accessible data, but you are responsible for complying with Hellopeter's terms, applicable privacy and database laws, and your lawful purpose. Minimize personal data, protect datasets, and avoid automated decisions about individuals.

FAQ

Can I enter a company name instead of a URL?

Yes. Exact Hellopeter URLs or slugs are more deterministic, but business names are resolved automatically.

Can I export only complaints without company replies?

Yes. Set replyFilter to withoutReplies and optionally choose ratings 1 and 2.

Does this require a Hellopeter account or API key?

No. The Actor reads only public company and review information.

How do I report a missing field or failed company?

Open the Actor's Issues tab with the public company URL and run ID. Do not include private customer data.

Changelog

2026-08-02

• Initial release with URL, slug, and company-name inputs.
• Added ratings and company-reply filters.
• Added TrustIndex, industry, company profile enrichment, summaries, retries, and structured dataset views.
• Cloud-verified 100-review run in 12.85 seconds; load-tested locally across 1,000 review rows.