# Indeed Employer Intelligence — Reviews, Interviews & Dossier (`bovi/indeed-employer-intelligence`) Actor **Scrape Indeed employer reviews, interview Q\&A, and company dossiers.** Returns rich records: **5 sub-ratings** (Comp, Culture, Job Security, Management, Work-Life), currentEmployee flag, full review body, interview process stories. - **URL**: https://apify.com/bovi/indeed-employer-intelligence.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Marketing, Business - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.75 / 1,000 employer reviews This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Indeed Employer Intelligence — Reviews, Interviews & Company Dossier Scrape Indeed's employer profiles at scale. One actor returns **employee reviews with 5 sub-ratings**, **interview Q&A and process stories**, and a rich **company dossier** — all from Indeed's /cmp/ pages via a geo-hardened, residential-proxy backed, Cloudflare-resilient fetch pipeline. ### What you get #### Reviews (`$4.90 / 1,000 records`) - **Full review body** (`text`) - **Overall star rating** (1–5) - **5 category sub-ratings**: Compensation & Benefits, Culture & Values, Job Security & Advancement, Management, Work/Life Balance - `currentEmployee` flag (active vs. former employee) - Reviewer job title, location, submission date - `helpful` / `unhelpful` vote counts - Encrypted review ID + review UID for deduplication - Country code #### Interviews (`$5.90 / 1,000 records`) - Interview questions and answers (Q&A items) - Process story: **difficulty** (Easy/Average/Difficult), **experience** (Positive/Negative/Neutral), **hiring duration** - Overview experience summary text #### Dossier (`~$0.05 / company`, flat) - Company description, website, headquarters, employee size, founded year, industry - **Happiness score** (Indeed's aggregate) - Overall star rating + total review count - **Salary aggregate**: ~100 job-title median salary benchmarks (`dossier_salary_titles` field, JSON) - Similar companies list --- ### Why this actor? #### Reliability as the product The /cmp/ endpoint sits behind Cloudflare's managed-challenge JS. Competitors produce 1–3★ listings full of "returns empty dataset" complaints. This actor uses **dual-extract**: JSON island (`comp-initialData`) primary + structural `data-testid` fallback, combined with **403-retry with impersonation rotation** (Chrome/Safari/Chrome124 — chrome116 is intentionally excluded, it hard-403s). Verified 30/30 at 3 req/s on residential (2026-06-04). #### Geo-hardening Six country presets built in: **US, IN, JP, GB, DE, BR**. Each drives the correct Apify residential proxy country, ensuring non-US buyers (Japan, India, Brazil employer markets) get localized reviews rather than US-biased results. Other Indeed scrapers don't advertise country-level proxy selection. #### Name-to-slug resolver Paste any company name ("JPMorgan Chase", "Bank of America") and the actor resolves it to the correct Indeed /cmp/ slug automatically. Strategy: deterministic dashed-slug guess (works for most well-known companies) → `/companies/search` fallback parse for ambiguous names. The #1 UX gap with every competing actor. #### Honest pagination ceiling Indeed hard-limits accessible review history to ~**3,000–3,960 reviews per category** (start ≥ 3,980 wraps back to page 0). This actor detects the wrap via `encryptedReviewId` comparison and stops cleanly. The ceiling is disclosed upfront in the listing description rather than silently truncating — a credibility win vs. rivals that claim "complete export" for companies with tens of thousands of reviews. --- ### Input | Field | Required | Default | Description | |---|---|---|---| | `companies` | Yes | — | List of company names, Indeed slugs, or /cmp/ URLs | | `modes` | No | all three | `reviews`, `interviews`, `dossier` | | `maxReviews` | No | 500 | Max reviews per company (0 = all, up to ~3,960 ceiling) | | `countryCode` | No | US | Country preset: US, IN, JP, GB, DE, BR | | `proxyConfiguration` | No | RESIDENTIAL | Apify proxy config — residential strongly recommended | ### Output schema One flat dataset with `record_type` field: `"review"`, `"interview"`, or `"dossier"`. Type-specific fields are `null` for other record types. Every record includes `parse_confidence` (0.0–1.0) and a `warnings` list for data-quality monitoring. ### Proxy Indeed's /cmp/ pages require **residential proxy** for reliable access. The default configuration uses Apify's RESIDENTIAL proxy group (available on free plan, paid by the buyer's account — zero extra cost to you). Bare datacenter IPs produce intermittent 403 errors. ### Pricing - Reviews: **$4.90 / 1,000 records** - Interviews: **$5.90 / 1,000 records** - Dossier: billed as one record per company at the dossier rate A typical full pull of a large employer (500 reviews + interviews + dossier) costs approximately $1.50–$2.50 in actor charges. ### Integrations Built for HR and employer-brand teams benchmarking company reputation, culture ratings, and interview-process data from Indeed — the JSON/dataset output drops into the tools you already run, no glue code: - **n8n / Make / Zapier** — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: [n8n](https://docs.apify.com/platform/integrations/n8n), [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier). - **Webhooks** — fire your own endpoint the moment a run finishes, to push results straight into your pipeline ([docs](https://docs.apify.com/platform/integrations/webhooks)). - **MCP server** — expose this actor as a tool to Claude, Cursor, or any [MCP client](https://mcp.apify.com) so an AI agent can pull this data mid-conversation ([guide](https://blog.apify.com/how-to-use-mcp/)). - **API & SDKs** — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs. See all [Apify integrations](https://apify.com/integrations). --- ### FAQ **Does this work for non-US companies?** Yes. Use the `countryCode` input to pick the locale (US, IN, JP, GB, DE, BR). The proxy country is matched automatically so you get localized reviews. **How many reviews can I get per company?** Indeed hard-limits public review access to approximately 3,000–3,960 reviews per category (start ≥ 3,980 wraps back to page 0 — this is an Indeed platform limit, not an actor limit). The actor detects the wrap and stops cleanly. For very large employers (Google, Amazon) this is the honest ceiling; the actor discloses it. **Why are some sub-ratings 0?** Indeed reviewers can submit an overall rating without filling in the 5 sub-category ratings. A value of `0` in `comp_benefits_rating` etc. means the reviewer chose not to rate that category — it is not a data quality issue. **What happens if a company name doesn't resolve?** The actor tries a deterministic dashed-slug guess first (works for most well-known companies), then falls back to Indeed's `/companies/search` endpoint. If neither succeeds the company is logged and skipped — the run continues for the remaining companies in the list. --- ### Legal & Terms of Service This actor collects **publicly available** data from Indeed's employer profile pages (`/cmp/` path). Reviews, interview Q&A, and company information displayed on these pages are user-submitted public content accessible to any visitor without login. **Responsible use guidelines:** - Do not use this data to personally identify individual reviewers. - Do not republish raw review text at scale in a way that replicates Indeed's content commercially. - Respect Indeed's robots.txt and rate limits — the actor includes polite delays between requests. - Review Indeed's [Terms of Service](https://www.indeed.com/legal) and your local data-protection regulations (GDPR, CCPA) before using review data in HR decisions. This actor is built for legitimate use cases: employer-brand benchmarking, talent acquisition research, competitive culture analysis, and HR analytics. # Actor input Schema ## `companies` (type: `array`): List of companies to scrape. Each item can be: a plain company name (e.g. 'Microsoft', 'JPMorgan Chase'), an Indeed slug (e.g. 'JPMorgan-Chase'), or a full Indeed company URL (e.g. 'https://www.indeed.com/cmp/Microsoft'). The actor resolves names to slugs automatically — no need to look up slugs manually. ## `modes` (type: `array`): Which data types to collect for each company. 'reviews' = employee reviews with 5 sub-ratings ($3/1k records). 'interviews' = interview Q&A and process stories ($4/1k records). 'dossier' = one-shot company overview page (~$0.05/company flat). Select all three for a complete employer intelligence package. ## `maxReviews` (type: `integer`): Maximum number of reviews to collect per company. Indeed caps the accessible review history at approximately 3,000–3,960 reviews per category (start≥3980 wraps back to page 0 — this is an Indeed hard limit, not an actor limit). The actor discloses this ceiling honestly rather than silently truncating. Set to 0 for 'all available' (up to the ceiling). Default: 500. ## `countryCode` (type: `string`): Country preset for geo-hardening. Drives which Indeed locale is used and which Apify residential proxy country is selected. 'US' (default) works for most English-language employer research. 'IN' = India (large tech-sector coverage). 'JP' = Japan (Japanese-language reviews). 'GB' = United Kingdom. 'DE' = Germany. 'BR' = Brazil. Choose the country where the employer is primarily based for best review coverage. ## `proxyConfiguration` (type: `object`): Proxy settings for Indeed's /cmp/ pages, which are protected by Cloudflare and require residential IPs for reliable access. Default: Apify RESIDENTIAL proxy (free-plan accessible, buyer-paid). Bare datacenter IPs produce intermittent 403 errors on Indeed — residential is strongly recommended. The actor automatically rotates impersonation profiles (Chrome/Safari) and retries on 403s with session rotation. ## Actor input object example ```json { "companies": [ "Microsoft", "Google", "Amazon.com" ], "modes": [ "reviews", "interviews", "dossier" ], "maxReviews": 500, "countryCode": "US", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # Actor output Schema ## `results` (type: `string`): Dataset containing Indeed Employer Intelligence records (record\_type, company\_name, country, overall\_rating, comp\_benefits\_rating, culture\_values\_rating, title, current\_employee, submission\_date, interview\_difficulty, interview\_experience, parse\_confidence). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "companies": [ "Microsoft", "Google", "Amazon.com" ], "modes": [ "reviews", "interviews", "dossier" ], "maxReviews": 500, "countryCode": "US", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/indeed-employer-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "companies": [ "Microsoft", "Google", "Amazon.com", ], "modes": [ "reviews", "interviews", "dossier", ], "maxReviews": 500, "countryCode": "US", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("bovi/indeed-employer-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "companies": [ "Microsoft", "Google", "Amazon.com" ], "modes": [ "reviews", "interviews", "dossier" ], "maxReviews": 500, "countryCode": "US", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call bovi/indeed-employer-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/indeed-employer-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Employer Intelligence — Reviews, Interviews & Dossier", "description": "**Scrape Indeed employer reviews, interview Q&A, and company dossiers.** Returns rich records: **5 sub-ratings** (Comp, Culture, Job Security, Management, Work-Life), currentEmployee flag, full review body, interview process stories.", "version": "0.1", "x-build-id": "gwBDrjzJN3Mx2d1Qf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~indeed-employer-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-indeed-employer-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~indeed-employer-intelligence/runs": { "post": { "operationId": "runs-sync-bovi-indeed-employer-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~indeed-employer-intelligence/run-sync": { "post": { "operationId": "run-sync-bovi-indeed-employer-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "companies" ], "properties": { "companies": { "title": "Companies", "type": "array", "description": "List of companies to scrape. Each item can be: a plain company name (e.g. 'Microsoft', 'JPMorgan Chase'), an Indeed slug (e.g. 'JPMorgan-Chase'), or a full Indeed company URL (e.g. 'https://www.indeed.com/cmp/Microsoft'). The actor resolves names to slugs automatically — no need to look up slugs manually.", "items": { "type": "string" } }, "modes": { "title": "Data Modes", "type": "array", "description": "Which data types to collect for each company. 'reviews' = employee reviews with 5 sub-ratings ($3/1k records). 'interviews' = interview Q&A and process stories ($4/1k records). 'dossier' = one-shot company overview page (~$0.05/company flat). Select all three for a complete employer intelligence package.", "items": { "type": "string", "enum": [ "reviews", "interviews", "dossier" ], "enumTitles": [ "Reviews (5 sub-ratings, currentEmployee, full body)", "Interviews (Q&A, process stories, difficulty)", "Dossier (about page, happiness module, overview)" ] }, "default": [ "reviews", "interviews", "dossier" ] }, "maxReviews": { "title": "Max Reviews Per Company", "minimum": 0, "maximum": 4000, "type": "integer", "description": "Maximum number of reviews to collect per company. Indeed caps the accessible review history at approximately 3,000–3,960 reviews per category (start≥3980 wraps back to page 0 — this is an Indeed hard limit, not an actor limit). The actor discloses this ceiling honestly rather than silently truncating. Set to 0 for 'all available' (up to the ceiling). Default: 500.", "default": 500 }, "countryCode": { "title": "Country Code", "enum": [ "US", "IN", "JP", "GB", "DE", "BR" ], "type": "string", "description": "Country preset for geo-hardening. Drives which Indeed locale is used and which Apify residential proxy country is selected. 'US' (default) works for most English-language employer research. 'IN' = India (large tech-sector coverage). 'JP' = Japan (Japanese-language reviews). 'GB' = United Kingdom. 'DE' = Germany. 'BR' = Brazil. Choose the country where the employer is primarily based for best review coverage.", "default": "US" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for Indeed's /cmp/ pages, which are protected by Cloudflare and require residential IPs for reliable access. Default: Apify RESIDENTIAL proxy (free-plan accessible, buyer-paid). Bare datacenter IPs produce intermittent 403 errors on Indeed — residential is strongly recommended. The actor automatically rotates impersonation profiles (Chrome/Safari) and retries on 403s with session rotation.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```