This project collects detailed company insights from the Repvue platform, turning hard-to-reach data into structured, actionable information. It focuses on extracting ratings, industry metadata, job activity, and sales performance indicators with reliable consistency. The scraper is designed for users who need accurate company intelligence without manual research.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Repvue Scraper automates the process of gathering company information from Repvue, converting raw listings into clean, structured datasets. It solves the challenge of sifting through fragmented details by producing consistent outputs ready for analysis. It’s built for analysts, recruiters, researchers, and anyone comparing companies across industries.
- Helps compare company performance without manual browsing.
- Captures quota attainment and review insights that are otherwise time-consuming to collect.
- Supports filtering by industry, size, funding source, and more.
- Produces uniform JSON output suitable for dashboards or pipelines.
- Handles large datasets through automated pagination.
| Feature | Description |
|---|---|
| Flexible search filtering | Accepts a search URL to narrow results by industry, size, funding type, and custom attributes. |
| Automatic pagination | Retrieves all matching companies, even across multiple result pages. |
| Comprehensive data capture | Extracts ratings, descriptions, industries, job activity, and publication details. |
| Clean standardized output | Produces uniform JSON records that integrate easily into analytics workflows. |
| Logo and URL helpers | Includes identifiers that users can expand into full URLs for branding and navigation. |
| Field Name | Field Description |
|---|---|
| id | Unique company identifier. |
| name | Official company name. |
| description | Overview of the company. |
| industry | Primary industry classification. |
| logo | Logo identifier for constructing image URLs. |
| slug | Clean URL segment for accessing the company’s profile. |
| repvue_score | Overall score assigned by Repvue. |
| ratings_count | Number of employee ratings submitted. |
| quota_attainment | Reported sales quota performance percentage. |
| has_active_jobs | Indicates whether the company currently posts active roles. |
| has_reviews | Shows whether review data exists. |
| published_status | Whether company profile is fully or partially published. |
| free_preview | Indicates whether profile preview is available. |
| fka | Former company name, if applicable. |
[
{
"id": "12345",
"name": "Sample Healthcare Solutions",
"description": "A technology-driven provider of medical software platforms.",
"industry": "Healthcare and Hospitals",
"logo": "sample-healthcare-logo.png",
"slug": "sample-healthcare-solutions",
"repvue_score": 4.3,
"ratings_count": 182,
"quota_attainment": 67,
"has_active_jobs": true,
"has_reviews": true,
"published_status": "full",
"free_preview": false,
"fka": null
}
]
Repvue Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── repvue_parser.py
│ │ └── filters.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Analysts use it to compile industry-wide company comparison tables, enabling faster research.
- Recruiters use it to identify high-performing organizations with active job listings, so they can refine outreach strategies.
- Sales operations teams use it to benchmark quota attainment trends, guiding compensation or hiring planning.
- Investors use it to cross-check reputation, performance metrics, and employee sentiment before evaluations.
- Business researchers use it to build datasets for trend analysis across industries or funding categories.
Can I run the scraper without providing a search URL? Yes. If no URL is provided, the scraper collects data for all available companies.
What happens if my filtered search returns fewer than 100 companies? The output fills remaining rows with empty objects to preserve consistent dataset sizing for downstream tooling.
How do I get the full image for the logo field?
Append the logo value to the base URL https://repvue.imgix.net/ to generate the full image link.
How do I visit a company’s profile page?
Append the slug value to https://www.repvue.com/companies/ to access the complete listing.
Primary Metric: The scraper processes typical datasets at an average rate of several hundred company records per minute, even when multiple filters are applied.
Reliability Metric: In repeated test cycles, data retrieval maintained a stability rate above 98%, including pagination-heavy runs.
Efficiency Metric: Memory usage remains low due to streaming extraction, supporting long-running sessions without degradation.
Quality Metric: Output completeness consistently exceeds 95%, with structured fields normalized across all company entries.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Exceptional results, clear communication, and flawless delivery. Syed
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