RepVue Scraper - Sales Rep Employer Reviews, OTE & Quota Data

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Scrape RepVue.com for verified B2B SaaS sales compensation and employer review data. Extract company profiles with OTE, base salary, quota attainment, and employer ratings across 5,000+ companies. Get per-role salary breakdowns and anonymous sales rep reviews without an account.

What You Get

Each run returns structured records covering:

Company data — RepVue score (0–100), total review count, industry, employee count, company description, and direct link to the RepVue profile.

Salary data (per role) — Median and average OTE, base compensation, average quota attainment, and 75th percentile OTE for roles like Account Executive, SDR, BDR, and Account Manager.

Review data — Individual sales rep reviews including rating, role, date, pros/cons text, quota attainment percentage, and current/former employee status.

Use Cases

• Sales compensation benchmarking — Compare OTE and base salaries across companies and roles in B2B SaaS, FinTech, HR Tech, and adjacent verticals.
• Employer research — Evaluate culture, leadership, product-market fit, and inbound lead flow before joining a company.
• Talent intelligence — Track which companies sales reps rate highest and monitor trend changes over time.
• Market analysis — Aggregate compensation data across an industry segment or company size band.

Inputs

Example Input

{
"mode":"both",
"companySlugs":["salesforce","hubspot","mondaycom"],
"maxItems":100
}

Output Schema

Company / Salary record

{
"company_name":"monday.com",
"company_slug":"mondaycom",
"company_url":"https://monday.com",
"repvue_url":"https://www.repvue.com/companies/mondaycom",
"industry":"Project Management",
"employee_count":"1001-5000",
"overall_rating":83.02,
"total_reviews":477,
"avg_ote":157000,
"avg_base_salary":95000,
"review_role":"Account Executive",
"review_date":"2024-03-15T00:00:00.000Z",
"review_rating":4.2,
"review_pros":"Great product, strong brand recognition in the market.",
"review_quota_attainment":"60-80%",
"review_is_current_employee":true
}

How It Works

RepVue uses Next.js App Router with React Server Components. Data is embedded in streaming RSC payloads (self.__next_f.push(...) script blocks) rather than standard __NEXT_DATA__ — the scraper concatenates all RSC blocks and extracts structured data objects from the resulting payload.

The crawler operates in three levels:

1. Company listing — /companies/page/N (306 pages, ~10–20 companies each)
2. Company profile + salaries — /companies/<slug> and /companies/<slug>/salaries
3. Reviews — /companies/<slug>/reviews?page=N (50 reviews per page)

Use companySlugs to target specific companies directly and skip the listing crawl.

Limits and Notes

• All data is public — no RepVue account required.
• Rate limiting is handled automatically with exponential back-off.
• Set maxItems to a small value (10–50) for quick tests; 0 for a full catalog run (~5,000 companies).
• Full catalog runs with reviews can produce millions of records and take several hours.