TeamBlind Reviews Scraper

🔎 TeamBlind Reviews Scraper

TeamBlind Reviews Scraper extracts public company reviews from TeamBlind and saves them as clean Apify dataset items. Add company names, TeamBlind company slugs, or company review URLs, then export ratings, summaries, pros, cons, reviewer context, company details, source links, and scrape timestamps.

Use it when you need a focused TeamBlind reviews scraper for employer research, competitor hiring analysis, workplace reputation monitoring, talent-market research, or repeat exports of Blind employee reviews. The Actor is built around the public company reviews surface on TeamBlind. It does not ask you for TeamBlind cookies, login credentials, or API keys.

✅ What this actor does

• Scrapes public TeamBlind company review pages.
• Accepts company names, company slugs, and TeamBlind company review URLs.
• Returns one dataset item per public company review.
• Captures overall rating plus career, work-life balance, compensation, culture, and management ratings when TeamBlind shows them.
• Extracts review summary, pros, cons, job title, reviewer location, employee status, tenure years, review dates, helpful count, and source URLs.
• Adds company context such as company name, slug, website, logo, industry, headquarters, employee size, founding year, aggregate rating, and review count when available.
• Lets you cap total reviews and reviews per company.
• Charges only for saved TeamBlind reviews.

This Actor is focused on TeamBlind company reviews. It does not scrape Blind posts, comments, feeds, salaries, benefits, jobs, private account-only data, or cross-site company profiles.

📊 Data you can extract

Each saved item is one TeamBlind review. Depending on what TeamBlind exposes for the company or review, fields can include:

• reviewId and reviewUrl
• companyName, companySlug, and companyReviewsUrl
• ratingOverall, ratingCareer, ratingWorkLifeBalance, ratingCompensation, ratingCulture, and ratingManagement
• summary, pros, and cons
• jobTitle, reviewerLocation, and reviewerCountryCode
• isCurrentEmployee, memberStartYear, and memberEndYear
• reviewedAt, updatedAt, approvedAt, and helpfulCount
• company object with website, logo, headquarters, industry, employee size, aggregate rating, and review count when available
• sourceTarget, sourceUrl, sourcePlatform, and scrapedAt

The dataset is designed for exports, API pulls, scheduled runs, webhooks, spreadsheets, BI tools, and downstream analysis.

🚀 How to run it

1. Open the Actor input.
2. Add one or more companies in TeamBlind targets.
3. Use a company name such as Twilio, a TeamBlind company slug, or a company reviews URL.
4. Set Maximum reviews and Reviews per company to control run size and cost.
5. Start the Actor and open the dataset when the run finishes.

The prefilled target is small and easy to inspect, so you can confirm the output shape before running a larger company list.

🧾 Input

Field	What to enter
targets	Company names, TeamBlind company slugs, or TeamBlind company review URLs.
maxItems	Maximum TeamBlind reviews to save across the whole run.
maxReviewsPerCompany	Maximum TeamBlind reviews to save for each company target.

Example input:

{
	"targets": [
		"Twilio",
		"https://www.teamblind.com/company/Twilio/reviews"
	],
	"maxItems": 50,
	"maxReviewsPerCompany": 25
}

📦 Output example

{
	"reviewId": "438100",
	"reviewUrl": "https://www.teamblind.com/company/Twilio/reviews/review/sbYXVIwA52",
	"companyName": "Twilio",
	"companySlug": "Twilio",
	"ratingOverall": 4,
	"ratingCareer": 4,
	"ratingWorkLifeBalance": 3,
	"ratingCompensation": 4,
	"ratingCulture": 3,
	"ratingManagement": 3,
	"summary": "Probably the most vanilla tech company out there",
	"pros": "Benefits are good once you're a high enough level to get them all.",
	"cons": "Limited career mobility at high levels.",
	"jobTitle": "Senior Manager Customer Service",
	"reviewerLocation": "United States",
	"reviewerCountryCode": "US",
	"isCurrentEmployee": true,
	"memberStartYear": 2022,
	"memberEndYear": null,
	"reviewedAt": "2026-05-15T06:12:56.000Z",
	"sourceTarget": "Twilio",
	"sourceUrl": "https://www.teamblind.com/company/Twilio/reviews",
	"companyReviewsUrl": "https://www.teamblind.com/company/Twilio/reviews",
	"sourcePlatform": "teamblind",
	"scrapedAt": "2026-05-28T00:00:00.000Z"
}

💳 Pricing

This Actor uses pay-per-event pricing. You are charged for each TeamBlind review successfully saved to the dataset.

Use Maximum reviews and Reviews per company to keep the first run small, then increase the limits when the exported fields match your workflow.

⚠️ Limits and caveats

• The Actor collects public TeamBlind company reviews only.
• Some review fields can be empty when TeamBlind does not expose them for a specific review.
• TeamBlind controls review availability, pagination, page layout, and visible company metadata.
• The Actor does not log in to TeamBlind or collect private account-only content.
• Company names are accepted, but TeamBlind slugs or company review URLs are the most precise inputs when a company name is ambiguous.
• If a target is invalid, unavailable, or has no public review surface, the Actor skips it and continues with the rest of the run.

❓ FAQ

🔎 Is this a TeamBlind reviews scraper or a Blind review scraper?

Both phrases usually refer to the same public company review surface on TeamBlind. This Actor focuses on TeamBlind company reviews and Blind employee review data, not Blind discussion posts.

🔐 Do I need TeamBlind cookies or an account?

No. The Actor is designed for public TeamBlind company review pages and does not ask for cookies, login credentials, session exports, or API keys.

📌 Does it scrape salaries, benefits, jobs, or posts?

No. This Actor is intentionally scoped to public company reviews. It does not scrape TeamBlind salaries, benefits, jobs, posts, comments, or feeds.

🧩 Why do some fields come back empty?

TeamBlind does not expose the same details on every company or review. Empty fields mean the value was not available on the public page for that item.

📝 Changelog

• 0.0: Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

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• LinkedIn Company Scraper ↗ - Export public LinkedIn company profile facts.
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Made with ❤️ by Maxime Dupré