Blind by GuidePoint Scraper

Free-plan limit: Apify free-plan users receive at most 5 delivered records per run. Paid and agentic-payment runs may use the configured maxResults limit.

Extract public Blind company reviews, company profiles, discussions, channel posts, and recent salary submissions into structured JSON for workplace research, recruiting intelligence, compensation analysis, and employer monitoring.

This Actor reads only pages that Blind publishes on the open web. It does not log in, accept session cookies, bypass CAPTCHA, access private groups, or expose member email addresses or identities.

What it extracts

Record	Useful fields
Company	companyName, industry, employeeSize, foundedYear, overallRating, reviewCount, location
Review	title, pros, cons, six ratings, jobTitle, location, countryCode, createdAt
Post	title, public content excerpt, author alias, employer, reactions, comments, views, itemUrl
Salary	role, total compensation, base, bonus, equity, level/YOE/location metadata, submission time

Every item also includes recordType, a stable id, sourceUrl, itemUrl, and scrapedAt. Fields unavailable for a record type are explicitly null, giving agents and pipelines a stable shape.

When to use it

Use this Actor to compare employee sentiment, monitor public company discussions, analyze recent compensation submissions, or export public Blind data to Sheets, a database, or an AI workflow.

Do not use it for private feeds, account data, private channels, comments hidden behind authentication, employee identification, or bulk historical pagination. The current contract extracts the records server-rendered on each requested public page; it does not call login-gated APIs or promise an entire historical archive.

Input

Field	Description	Default
companyNames	Blind company names or URL aliases	["Microsoft"]
sections	profile, reviews, posts, and/or salaries	["reviews"]
salaryCountrySlug	Country part of a Blind salary URL	united-states
startUrls	Exact public company, channel, post, or article URLs	[]
maxResults	Global schema-valid record cap, 1–1000	50
maxConcurrency	Simultaneous page requests, 1–10	2

You can combine generated company pages with exact startUrls. Duplicate pages and duplicate records are removed.

Company reviews example

{
  "companyNames": ["Microsoft", "Google"],
  "sections": ["profile", "reviews"],
  "maxResults": 40,
  "maxConcurrency": 2
}

Salaries example

{
  "companyNames": ["Microsoft"],
  "sections": ["salaries"],
  "salaryCountrySlug": "united-states",
  "maxResults": 25
}

Public channel example

{
  "companyNames": [],
  "startUrls": [
    { "url": "https://www.teamblind.com/channels/artificial-intelligence" }
  ],
  "maxResults": 20
}

Run with the Apify API

curl -X POST "https://api.apify.com/v2/acts/YOUR_USERNAME~blind-by-guidepoint-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companyNames":["Microsoft"],"sections":["reviews"],"maxResults":10}'

Keep Apify tokens in secret storage or an authorization header in production; do not commit them.

Output example

{
  "recordType": "review",
  "id": "447115",
  "sourceUrl": "https://www.teamblind.com/company/Microsoft/reviews",
  "scrapedAt": "2026-08-29T00:00:00.000Z",
  "companyName": "Microsoft",
  "companyAlias": "Microsoft",
  "title": "Good work-life balance",
  "content": null,
  "itemUrl": "https://www.teamblind.com/company/Microsoft/review/example",
  "authorAlias": "H*****",
  "authorCompany": null,
  "jobTitle": "Software Engineer",
  "location": "Redmond, WA",
  "countryCode": "US",
  "createdAt": "2026-08-27T15:09:18.000Z",
  "overallRating": 4,
  "careerRating": 3,
  "workLifeBalanceRating": 5,
  "compensationRating": 3,
  "cultureRating": 4,
  "managementRating": 4,
  "pros": "Strong engineering culture.",
  "cons": "Large-company bureaucracy.",
  "helpfulCount": 2,
  "likeCount": null,
  "commentCount": null,
  "viewCount": null,
  "totalCompensation": null,
  "baseSalary": null,
  "bonus": null,
  "equity": null,
  "salaryMetadata": null,
  "companyWebsite": null,
  "industry": null,
  "employeeSize": null,
  "foundedYear": null,
  "reviewCount": null,
  "logoUrl": null
}

The default dataset contains only business records. OUTPUT in the default key-value store contains the run outcome (DATA, EMPTY, BLOCKED, or REJECTED), page counts, delivered result count, and warnings.

Pricing

This Actor uses pay-per-event pricing. These are the current Apify Store event prices:

Event	Price (USD)	When it is charged
apify-default-dataset-item	FREE: $0.03099; BRONZE: $0.03099; SILVER: $0.03099; GOLD: $0.02099; PLATINUM: $0.02099; DIAMOND: $0.02099	Blind result — One schema-valid public Blind record written to the default dataset.
apify-actor-start	$0.005	Actor Start — Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). — Charged once per run.

Apify platform usage for this Actor run is included alongside the event prices above; no separate per-run platform-usage fee is passed to users.

This covers Apify platform usage for this Actor run. Other Apify products or usage outside this Actor run may still follow your account plan.

Reliability and limits

The Actor uses realistic browser headers, bounded concurrency, classified retries, deduplication, strict output validation, and a global result cap. Valid records are preserved if another page fails. A 404, rate limit, block, or changed page shape is recorded in OUTPUT instead of creating fake dataset rows.

Blind is a third-party website and can change its public page format or availability. Public pages currently expose a server-rendered first batch of data. This Actor intentionally does not bypass authentication or CAPTCHA and does not claim full historical pagination. Use low concurrency and request only the data you need.

Responsible use

Use the data in accordance with applicable law, Blind’s terms, privacy rules, and your organization’s policies. Do not use anonymous aliases or content to identify, harass, discriminate against, or make automated employment decisions about individuals. Avoid republishing sensitive user-generated content without a lawful basis.

For support, include the run ID, requested public URL, and the OUTPUT warning. Never include account credentials, cookies, or private member data.