RepVue Scraper: Company Reviews, Ratings & Sales Compensation

Pull structured data from RepVue.com, the platform where sales professionals rate the companies they work for. This actor returns one rich record per company: the full profile and RepVue Score, sales-rep reviews, compensation by role (OTE, base, percentiles), open sales jobs, and community questions. It is built for recruiters, sales leaders, RevOps teams, and analysts who want company culture, pay benchmarks, and rep sentiment in one clean dataset.

Unlike review-only scrapers, every record here bundles the company profile, the rating breakdown, compensation by role, and the reviews together, so you get the whole picture in a single row instead of stitching reviews back to companies yourself.

Why this scraper

• One rich record per company: profile, RepVue Score, ratings, reviews, and pay, not just review text.
• Compensation by sales role: median and average OTE, base, 75th-percentile, and highest potential earnings, plus a pay summary.
• Richer reviews: body, rating, verified flag, reviewer role and location tags, follow-up question and answer, company response, and upvotes.
• Two modes: search and filter the whole RepVue index, or paste specific company links.
• Real filters: by industry, minimum RepVue Score, and company size, with sort options.
• Fast and low cost: efficient retrieval that runs on any Apify plan, including the free tier.
• Optional open jobs and community Q&A per company.

Data you get

Sample shape, values are illustrative placeholders, not from a live company.

Field	Example
name	Sample Company
slug	SampleCompany
url	https://www.repvue.com/companies/SampleCompany
repvueScore	81.97
averageRating	3.5
ratings_count	715
verified_ratings_percent	91.19
industry	Software
size / sizeLabel	to_10000 / 5001-10000
funding_source	Public
last_headcount	2924
description	Short company description text appears here.
website	https://www.example.com/
careers_url	https://careers.example.com/
reviewsCount	20
reviews[].body	Positive experience as a BDR with strong enablement.
reviews[].rating	{ "score": 4, "type": "overall", "user_status": "current" }
reviews[].reviewer_role_tag	Account Executive
compensation.summary	{ "highest_base": 165000, "lowest_base": 50000, "total_ratings_count": 212 }
compensation.roles[].role	Account Executive
compensation.roles[].median_ote	150000
compensation.roles[].median_base_compensation	75000
jobsCount	0
questionsCount	0
scrapedAt	2026-01-01T00:00:00.000Z

How to use

Scrape three companies by link, with reviews and compensation:

{
  "mode": "url",
  "startUrls": [
    "https://www.repvue.com/companies/Klaviyo",
    "https://www.repvue.com/companies/Wiz",
    "https://www.repvue.com/companies/GrafanaLabs"
  ],
  "includeReviews": true,
  "includeSalaries": true,
  "maxReviews": 50
}

Find top-rated Software companies:

{
  "mode": "search",
  "industries": ["Software"],
  "minRepvueScore": 80,
  "sortBy": "repvue_score_desc",
  "maxItems": 25,
  "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" }
}

Recent reviews only, for one company:

{
  "mode": "url",
  "startUrls": ["https://www.repvue.com/companies/Klaviyo"],
  "includeReviews": true,
  "maxReviews": 100,
  "targetDate": "2025-01-01"
}

Profile and pay only, no reviews:

{
  "mode": "search",
  "companySize": "over_10000",
  "includeReviews": false,
  "includeSalaries": true,
  "maxItems": 50
}

Input parameters

Parameter	Type	Default	Description
mode	string	search	"search" discovers and filters companies; "url" scrapes the links you paste.
search	string	(empty)	Search mode: keep companies whose name contains this text.
industries	array	[]	Search mode: keep only these industries.
minRepvueScore	integer	(none)	Search mode: minimum RepVue Score (0-100).
companySize	string	(any)	Search mode: headcount band filter.
sortBy	string	name_asc	Order of returned companies.
startUrls	array	(example)	URL mode: company links or bare slugs.
includeReviews	boolean	true	Attach reviews to each company.
includeSalaries	boolean	true	Attach compensation by role.
includeJobs	boolean	false	Attach open sales jobs (one extra request per company).
includeQuestions	boolean	false	Attach community Q&A (one extra request per company).
maxReviews	integer	100	Reviews per company; 0 for all. Per-company depth, not a run cap.
targetDate	string	(none)	Keep only reviews on or after this date (YYYY-MM-DD).
maxItems	integer	20	The only run-wide cap: max companies. 0 for no limit.
proxy	object	Apify datacenter	Connection settings.
maxResidentialMB	integer	0	Residential budget; auto-downgrades to datacenter when reached.
mcpConnectors	array	[]	Optional: pipe results into Notion, Linear, Airtable, or Apify.

Output example

Sample shape, values are illustrative placeholders.

{
  "recordType": "company",
  "id": 1,
  "slug": "SampleCompany",
  "name": "Sample Company",
  "url": "https://www.repvue.com/companies/SampleCompany",
  "repvueScore": 81.97,
  "averageRating": 3.5,
  "ratings_count": 715,
  "verified_ratings_percent": 91.19,
  "industry": "Software",
  "size": "to_10000",
  "sizeLabel": "5001-10000",
  "funding_source": "Public",
  "last_headcount": 2924,
  "website": "https://www.example.com/",
  "careers_url": "https://careers.example.com/",
  "compensation": {
    "summary": { "highest_base": 165000, "lowest_base": 50000, "total_ratings_count": 212 },
    "roles": [
      { "role": "Account Executive", "median_ote": 150000, "median_base_compensation": 75000, "average_highest_potential_earnings": 309529, "ratings_count": 85 }
    ]
  },
  "reviews": [
    { "id": 1, "body": "Strong enablement and supportive leadership.", "rating": { "score": 4, "type": "overall", "user_status": "current" }, "reviewer_role_tag": "Account Executive", "rating_verified": true, "upvotes": 0 }
  ],
  "reviewsCount": 1,
  "scrapedAt": "2026-01-01T00:00:00.000Z"
}

Send results into your apps (MCP connectors)

This actor can optionally pipe each run into the apps you already use through Model Context Protocol (MCP) connectors. Authorize a connector once under Apify, Settings, Integrations, then select it in the "Export to your apps" section of the input. For Notion, also set a parent page URL. The connector receives a condensed, human-readable summary per company (title plus key fields); the complete record always stays in the Apify dataset. Leave the field empty to skip; it never changes the dataset output. Supported connectors: Notion, Linear, Airtable, and Apify.

Plan requirement

The default proxy setting runs on any Apify plan, including the free tier, so URL mode works everywhere. Search mode (company discovery and filtering) is most reliable with an Apify plan that includes residential proxy; on the free plan, prefer URL mode with specific company links.