# Kununu Scraper - Company Ratings & Employer Reviews (DACH) (`blackfalcondata/kununu-scraper`) Actor Scrape kununu.com across DACH - company ratings, recommendation rates, 13-factor individual reviews, and salary ranges. Incremental mode tracks changes across runs. Keyword, company-list, or dataset-enrichment input modes. - **URL**: https://apify.com/blackfalcondata/kununu-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Business, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 company profiles This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### What does Kununu Scraper do? Kununu Scraper extracts structured listing data from [kununu.com](https://kununu.com) — including salary data, company metadata, and ratings and reviews. It supports keyword search and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them. ### Key features - **Incremental mode** — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records. - **Detail enrichment** — full descriptions and company metadata where the source provides them. - **Individual reviews** — scrape per-employee reviews with factor ratings, pros/cons, position/department, and company replies. Per-review incremental tracking filters unchanged reviews from emission. - **Culture insights** — Kulturkompass profile-vs-industry compass score, culture dimensions, strengths/weaknesses, and culture-tagged review comments. - **Full salary enrichment** — all salary ranges across job titles with min/max/median/average, not just the top 3 shown on the summary page. - **Compact mode** — AI-agent and MCP-friendly payloads with core fields only. ### What data can you extract from kununu.com? Each result includes Core listing fields (`type`, `slug`, `uuid`, `portalUrl`, `matchStatus`, `matchConfidence`, `rating`, and `ratingRounded`, and more), detail fields when enrichment is enabled (`benefits`), and company metadata (`companyName`, `queryCompanyName`, `isTopCompany`, and `topCompanyYears`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned. Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them. ### Input The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema. Key parameters: - **`mode`** — Which input to use. 'keyword' paginates search results for a query. 'companyNames' looks up a list of company names. 'companyUrls' uses direct kununu URLs. 'datasetId' reads names from an existing Apify dataset. Leave blank to auto-detect from the fields you fill in. (default: `"keyword"`) - **`query`** — Search term for keyword mode (e.g. 'software'). Required when mode=keyword. Leave blank for other modes. - **`companyNames`** — List of company names to look up on kununu. Best match from first search page is returned. - **`companyUrls`** — List of kununu company URLs (e.g. https://www.kununu.com/de/bosch-gruppe). Country code and slug are parsed from each URL — URLs can mix DE/AT/CH. Skips search and matching. Incremental mode works per-slug. - **`datasetId`** — ID of an existing Apify dataset. Actor reads company names from this dataset and enriches with kununu ratings. - **`companyFieldName`** — Field in the dataset that contains the company name. Default: companyName. (default: `"companyName"`) - **`deduplicateField`** — Optional field to deduplicate by before lookup (e.g. 'companyId'). Useful when multiple jobs share the same company. - **`countryCode`** — Kununu country: de (Germany), at (Austria), ch (Switzerland). (default: `"de"`) - **`industryId`** — Filter results by industry ID. Only applies in keyword search mode. Common IDs: 1=Banking, 2=Construction, 3=Consulting, 4=Education, 5=Publishing, 6=Finance, 7=Healthcare, 8=Insurance, 9=Pharma, 10=IT/Software, 11=Engineering, 12=Automotive, 13=Chemicals, 14=Transport, 15=Retail, 16=Telecom, 17=Energy, 18=Media, 19=Public sector, 20=NGO, 43=Hotels, 44=Gastronomy. Find other IDs by filtering on kununu.com and checking the URL. - **`maxResults`** — Maximum number of results to return. 0 = no limit. (default: `100`) - **`maxPages`** — Maximum number of search result pages to scrape in keyword mode. 0 = no limit. (default: `10`) - **`includeDetails`** — Fetch the company detail page to extract recommendation rate and website. Doubles the number of requests. (default: `false`) - ...and 8 more parameters #### Input examples **Basic search** — Keyword-driven search with a result cap. → Full payload per result — all standard fields populated where the source provides them. ```json { "query": "software", "maxResults": 50 } ```` **Incremental tracking** — Only emit jobs that changed since the previous run with this `stateKey`. → First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well. ```json { "query": "software", "maxResults": 200, "incrementalMode": true, "stateKey": "software-tracker" } ``` **Compact output for AI agents** — Return only core fields for AI-agent and MCP workflows. → Small payload with the most important fields — ideal for piping into LLMs without token overhead. ```json { "query": "software", "maxResults": 50, "compact": true } ``` ### Output Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console. #### Example listing record ```json { "type": "company", "companyName": "SAP SE", "slug": "sap", "uuid": "a558284b-93ad-4015-a649-a1e152c479c8", "portalUrl": "https://www.kununu.com/de/sap", "matchStatus": "EXACT_MATCH", "matchConfidence": 1, "queryCompanyName": "SAP SE", "rating": 4.3, "ratingRounded": 4, "reviewCount": 4844, "recommendationRate": 78, "recommendationTotalReviews": 624, "recommendationRecommended": 488, "recommendationNotRecommended": 136, "industry": "6", "location": "Walldorf / Baden-Württemb.", "country": "de", "countryCode": "de", "isTopCompany": true, "isVerified": true, "profileType": "Claimed", "totalJobs": 0, "website": "https://jobs.sap.com", "followerCount": 2806, "scoreBreakdown": [ { "id": "AP_CATEGORY_CAREER", "score": 4.3, "roundedScore": 4.5, "totalReviews": 4504, "factors": [ { "id": "salary", "score": 4.2, "roundedScore": 4, "totalReviews": 4504 }, { "id": "image", "score": 4.5, "roundedScore": 4.5, "totalReviews": 4473 }, { "id": "career", "score": 4.2, "roundedScore": 4, "totalReviews": 4478 } ] }, { "id": "AP_CATEGORY_CULTURE", "score": 4.3, "roundedScore": 4.5, "totalReviews": 4540, "factors": [ { "id": "atmosphere", "score": 4.4, "roundedScore": 4.5, "totalReviews": 4540 }, { "id": "communication", "score": 4.1, "roundedScore": 4, "totalReviews": 4506 }, { "id": "teamwork", "score": 4.5, "roundedScore": 4.5, "totalReviews": 4517 }, { "id": "workLife", "score": 4.1, "roundedScore": 4, "totalReviews": 4505 }, { "id": "leadership", "score": 4.3, "roundedScore": 4.5, "totalReviews": 4514 }, { "id": "tasks", "score": 4.4, "roundedScore": 4.5, "totalReviews": 4496 } ] }, { "id": "AP_CATEGORY_WORK_ENVIRONMENT", "score": 4.5, "roundedScore": 4.5, "totalReviews": 4494, "factors": [ { "id": "workConditions", "score": 4.5, "roundedScore": 4.5, "totalReviews": 4494 }, { "id": "environment", "score": 4.5, "roundedScore": 4.5, "totalReviews": 4449 } ] }, { "id": "AP_CATEGORY_DIVERSITY", "score": 4.4, "roundedScore": 4.5, "totalReviews": 4455, "factors": [ { "id": "equality", "score": 4.5, "roundedScore": 4.5, "totalReviews": 4455 }, { "id": "oldColleagues", "score": 4.4, "roundedScore": 4.5, "totalReviews": 4397 } ] } ], "benefits": [ { "id": "flexWorkingHours", "total": 3805, "percentage": 83 }, { "id": "homeOffice", "total": 3639, "percentage": 79 }, { "id": "internet", "total": 3378, "percentage": 74 }, { "id": "cantine", "total": 3325, "percentage": 72 }, { "id": "pensionPlan", "total": 3290, "percentage": 72 }, { "id": "car", "total": 3278, "percentage": 71 }, { "id": "events", "total": 3277, "percentage": 71 }, { "id": "parking", "total": 3265, "percentage": 71 }, { "id": "meals", "total": 3227, "percentage": 70 }, { "id": "mobilePhone", "total": 3192, "percentage": 70 }, { "id": "healthProgram", "total": 3114, "percentage": 68 }, { "id": "stockOptions", "total": 3060, "percentage": 67 }, { "id": "coaching", "total": 2948, "percentage": 64 }, { "id": "discounts", "total": 2922, "percentage": 64 }, { "id": "doctor", "total": 2816, "percentage": 61 }, { "id": "accessibility", "total": 2597, "percentage": 57 }, { "id": "reachability", "total": 2420, "percentage": 53 }, { "id": "daycare", "total": 2105, "percentage": 46 }, { "id": "dogs", "total": 268, "percentage": 6 } ], "salaryRanges": [ { "jobRoleTitleId": 15019, "jobRoleTitle": "Softwareentwickler:in", "jobRoleTitleSlug": "softwareentwickler-in", "profileRangeMin": 43500, "profileRangeMax": 109400, "profileMedian": 70000, "profileAverage": 71500, "profileNumberOfEntries": 415 }, { "jobRoleTitleId": 19397, "jobRoleTitle": "Werkstudent:in", "jobRoleTitleSlug": "werkstudent-in", "profileRangeMin": 22100, "profileRangeMax": 48800, "profileMedian": 26400, "profileAverage": 27800, "profileNumberOfEntries": 180 }, { "jobRoleTitleId": 17844, "jobRoleTitle": "SAP-Berater:in", "jobRoleTitleSlug": "sap-berater-in", "profileRangeMin": 46800, "profileRangeMax": 123600, "profileMedian": 75000, "profileAverage": 78600, "profileNumberOfEntries": 148 } ], "competitors": [ { "slug": "efficon1", "name": "EffiCon GmbH & Co. KG", "uuid": "e7b4578a-ba31-4262-91cd-6ceabefa83a6", "countryCode": "de", "score": 4.8, "roundedScore": 5, "industryId": 35 }, { "slug": "realtech", "name": "REALTECH AG", "uuid": "f6c1ef8a-f704-47f4-84ab-e5a4e03a7369", "countryCode": "de", "score": 3.3, "roundedScore": 3.5, "industryId": 6 }, { "slug": "mindsquare", "name": "mindsquare AG", "uuid": "fe884cb0-9d8b-4f33-93b0-461cbb49dab6", "countryCode": "de", "score": 4.4, "roundedScore": 4.5, "industryId": 6 }, { "slug": "consenso-consulting", "name": "consenso Consulting GmbH", "uuid": "e923ce89-e193-4f01-aadd-fb4b29d6e317", "countryCode": "de", "score": 4.2, "roundedScore": 4, "industryId": 3 }, { "slug": "dataport", "name": "Dataport AöR", "uuid": "78f4a217-1b2e-43e4-91c8-8a33be3c7495", "countryCode": "de", "score": 4.2, "roundedScore": 4, "industryId": 6 }, { "slug": "smk-versicherungsmakler2", "name": "SMK Versicherungsmakler AG", "uuid": "54255dd3-51a3-491d-b83d-2463276fb5a7", "countryCode": "de", "score": 4.3, "roundedScore": 4.5, "industryId": 37 }, { "slug": "solvin-information-management1", "name": "SOLVIN information management GmbH", "uuid": "28f8f60e-66d3-4896-b434-6ba347a69959", "countryCode": "de", "score": 3.7, "roundedScore": 3.5, "industryId": 3 }, { "slug": "kuehne-nagel-ag", "name": "Kühne + Nagel", "uuid": "3363911b-ee74-4b6e-b46f-94438884af58", "countryCode": "de", "score": 3.3, "roundedScore": 3.5, "industryId": 28 }, { "slug": "grayoak-management-technology-consulting1", "name": "GRAYOAK Management & Technology Consulting GmbH", "uuid": "faa48bdd-10c5-4e1a-98bf-e8c26977a46c", "countryCode": "de", "score": 4.9, "roundedScore": 5, "industryId": 3 }, { "slug": "adexpartners", "name": "AdEx Beratungs GmbH", "uuid": "c92b0ac4-3e6a-43c8-940f-a2d45ff4c693", "countryCode": "de", "score": 4.7, "roundedScore": 4.5, "industryId": 3 }, { "slug": "soft-consult-haege", "name": "SOFT-CONSULT Häge GmbH", "uuid": "28c14089-58d6-4a33-9c60-e03bc074593c", "countryCode": "de", "score": 4.4, "roundedScore": 4.5, "industryId": 6 }, { "slug": "amperecloud", "name": "Amperecloud GmbH", "uuid": "0d85976a-fcb4-41a5-994a-88008e324891", "countryCode": "de", "score": 4.3, "roundedScore": 4.5, "industryId": 6 }, { "slug": "enmore-consulting", "name": "enmore consulting ag", "uuid": "d808300f-e88b-444b-b2ae-22a89e30ee02", "countryCode": "de", "score": 3.8, "roundedScore": 4, "industryId": 6 }, { "slug": "team7", "name": "TEAM GmbH", "uuid": "db75232c-bcf8-41ca-8ef7-cf7714d808af", "countryCode": "de", "score": 4.4, "roundedScore": 4.5, "industryId": 6 }, { "slug": "cosys-ident", "name": "Cosys Ident GmbH", "uuid": "10ecffe8-0e85-4230-8c24-4266028e4dab", "countryCode": "de", "score": 3.1, "roundedScore": 3, "industryId": 6 }, { "slug": "rechenzentrum-hartmann1", "name": "Rechenzentrum Hartmann GmbH & Co. K.G.", "uuid": "80df0e86-508d-4add-b534-4f7b24727ff1", "countryCode": "de", "score": 4.6, "roundedScore": 4.5, "industryId": 6 }, { "slug": "seclous4", "name": "SECLOUS GmbH", "uuid": "ab907d5b-ed9c-441a-a120-22eba256ab2c", "countryCode": "de", "score": 4.1, "roundedScore": 4, "industryId": 6 }, { "slug": "qunis2", "name": "QUNIS GmbH", "uuid": "17e67b71-8ca8-447a-bd6c-6c9c72be5265", "countryCode": "de", "score": 4.7, "roundedScore": 4.5, "industryId": 6 }, { "slug": "assystem5", "name": "AS-SYSTEME", "uuid": "794ca459-b60d-4da0-9c39-bb96f7bb5929", "countryCode": "de", "score": 4.3, "roundedScore": 4.5, "industryId": 6 }, { "slug": "preyer2", "name": "Preyer GmbH", "uuid": "e0367635-5111-4bb1-8212-04a1ab9d4660", "countryCode": "de", "score": 4.4, "roundedScore": 4.5, "industryId": 6 } ], "topCompanyYears": [ 2026, 2025, 2024, 2023, 2022 ], "salarySatisfaction": { "score": null, "roundedScore": null, "percentage": null, "totalReviews": 4504 }, "kulturKompass": null, "searchQuery": "", "scrapedAt": "2026-04-17T13:35:15.195Z", "contentHash": "11c59cbd1d9c98043722282c3c86f600c81679955700eb793d30e5e98fdcbe46", "changeType": "NEW" } ``` #### Incremental fields When `incremental: true`, each record also carries: - `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. - `firstSeenAt`, `lastSeenAt` — ISO-8601 timestamps tracking the listing across runs. ### How to scrape kununu.com 1. Go to [Kununu Scraper](https://apify.com/blackfalcondata/kununu-scraper) in Apify Console. 2. Enter a search keyword. 3. Set `maxResults` to control how many results you need. 4. Enable `includeDetails` if you need full descriptions, contact info, or company data. 5. Click **Start** and wait for the run to finish. 6. Export the dataset as JSON, CSV, or Excel. ### Use cases - Extract listing data from kununu.com for market research and competitive analysis. - Track salary trends across regions and categories over time. - Monitor new and changed listings on scheduled runs without processing the full dataset every time. - Research company hiring patterns, employer profiles, and industry distribution. - Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. - Collect ratings and reviews for reputation monitoring and benchmarking. ### How much does it cost to scrape kununu.com? Kununu Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced. - **Run start:** $0.005 per run - **Per result:** $0.001 per listing record Example costs: - 10 results: **$0.01** - 100 results: **$0.11** - 500 results: **$0.51** #### Example: recurring monitoring savings These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions. Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count. Numbers below are for the primary **Company profile** event. Other events (**Review extracted**) are billed separately when they fire and follow the same incremental logic — when the underlying record has not changed, no charge is emitted. | Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline | |---|---:|---:|---:|---:| | 5% — stable niche query | $0.26 | $0.02 | $0.24 (93%) | $0.53 | | 15% — moderate broad query | $0.26 | $0.04 | $0.21 (83%) | $1.27 | | 30% — high-volume aggregator | $0.26 | $0.08 | $0.17 (69%) | $2.40 | Full re-scrape monthly cost at daily polling: $7.65. First month with incremental costs $0.76 / $1.49 / $2.57 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply. Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same. ### FAQ #### How many results can I get from kununu.com? The number of results depends on the search query and available listings on kununu.com. Use the `maxResults` parameter to control how many results are returned per run. #### Does Kununu Scraper support recurring monitoring? Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset. #### Can I integrate Kununu Scraper with other apps? Yes. Kununu Scraper works with Apify's [integrations](https://apify.com/integrations) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes. #### Can I use Kununu Scraper with the Apify API? Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages. #### Can I use Kununu Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows. #### Is it legal to scrape kununu.com? This actor extracts publicly available data from kununu.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant. #### Your feedback If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/kununu-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper) — Scrape adzuna.com - the global job board with 20+ country markets. Structured salary. - [APEC.fr Scraper - French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper) — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,. - [Arbeitsagentur Scraper - German Jobs](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Scrape arbeitsagentur.de - Germany’s official employment portal with 1M+ listings. Contact data,. - [AutoScout24 Scraper](https://apify.com/blackfalcondata/autoscout24-scraper) — Scrape autoscout24.com - Europe's largest used car marketplace with 770K+ listings. Structured. - [Bayt.com Scraper - Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper) — Scrape bayt.com - the leading Middle East job board. Salary data, experience requirements. - [Bilbasen Scraper - Denmark’s Car Marketplace](https://apify.com/blackfalcondata/bilbasen-scraper) — Scrape bilbasen.dk - Denmark’s largest car marketplace. Full vehicle specifications, seller. - [Bumeran Scraper](https://apify.com/blackfalcondata/bumeran-scraper) — Scrape bumeran.com.ar - the largest job board across 8 LATAM countries. Work modality, contract. - [Cadremploi Job Scraper](https://apify.com/blackfalcondata/cadremploi-scraper) — Scrape cadremploi.fr - French management and executive jobs. Salary ranges, apply links. # Actor input Schema ## `mode` (type: `string`): Which input to use. 'keyword' paginates search results for a query. 'companyNames' looks up a list of company names. 'companyUrls' uses direct kununu URLs. 'datasetId' reads names from an existing Apify dataset. Leave blank to auto-detect from the fields you fill in. ## `query` (type: `string`): Search term for keyword mode (e.g. 'software'). Required when mode=keyword. Leave blank for other modes. ## `companyNames` (type: `array`): List of company names to look up on kununu. Best match from first search page is returned. ## `companyUrls` (type: `array`): List of kununu company URLs (e.g. https://www.kununu.com/de/bosch-gruppe). Country code and slug are parsed from each URL — URLs can mix DE/AT/CH. Skips search and matching. Incremental mode works per-slug. ## `datasetId` (type: `string`): ID of an existing Apify dataset. Actor reads company names from this dataset and enriches with kununu ratings. ## `companyFieldName` (type: `string`): Field in the dataset that contains the company name. Default: companyName. ## `deduplicateField` (type: `string`): Optional field to deduplicate by before lookup (e.g. 'companyId'). Useful when multiple jobs share the same company. ## `countryCode` (type: `string`): Kununu country: de (Germany), at (Austria), ch (Switzerland). ## `industryId` (type: `string`): Filter results by industry ID. Only applies in keyword search mode. Common IDs: 1=Banking, 2=Construction, 3=Consulting, 4=Education, 5=Publishing, 6=Finance, 7=Healthcare, 8=Insurance, 9=Pharma, 10=IT/Software, 11=Engineering, 12=Automotive, 13=Chemicals, 14=Transport, 15=Retail, 16=Telecom, 17=Energy, 18=Media, 19=Public sector, 20=NGO, 43=Hotels, 44=Gastronomy. Find other IDs by filtering on kununu.com and checking the URL. ## `maxResults` (type: `integer`): Maximum number of results to return. 0 = no limit. ## `maxPages` (type: `integer`): Maximum number of search result pages to scrape in keyword mode. 0 = no limit. ## `includeDetails` (type: `boolean`): Fetch the company detail page to extract recommendation rate and website. Doubles the number of requests. ## `compact` (type: `boolean`): Return only the most important fields. Useful for AI-agent workflows. ## `incrementalMode` (type: `boolean`): Track changes across runs. Emits changeType (NEW/UPDATED/UNCHANGED). NOT\_FOUND results are cached for 30 days. ## `stateKey` (type: `string`): Unique identifier for the incremental state (e.g. 'dach-companies-v1'). Required when incrementalMode is true. ## `includeReviews` (type: `boolean`): Also scrape individual employee reviews for each matched company. Requires includeDetails=true. Each review becomes a separate dataset item with type='review'. ## `maxReviewPages` (type: `integer`): Maximum review pages to scrape per company (10 reviews per page). 0 = no limit. Keep this conservative — popular companies can have hundreds of pages. ## `reviewSort` (type: `string`): Sort order for review scraping. Default is kununu's own default (relevance), which pairs reliably with pagination. ## `includeFullSalary` (type: `boolean`): Fetch the /gehalt page to get all salary ranges (~20 job titles) instead of the top 3 shown on the detail page. Adds one extra request per company. Requires includeDetails=true. ## `includeCulture` (type: `boolean`): Fetch the /kultur page to extract the Kulturkompass: profile-vs-industry compass score (0-200), MODERN/TRADITIONAL binary classification, 4 culture dimensions (leadership, strategic direction, work-life, working together), strength/weakness/most-voted factors, company statements, and culture-tagged review comments. Adds one extra request per company. Requires includeDetails=true. Returns null for companies with too few culture submissions. ## Actor input object example ```json { "mode": "keyword", "query": "software", "companyFieldName": "companyName", "countryCode": "de", "maxResults": 100, "maxPages": 10, "includeDetails": false, "compact": false, "incrementalMode": false, "includeReviews": false, "maxReviewPages": 10, "reviewSort": "relevance", "includeFullSalary": false, "includeCulture": false } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "query": "software" }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/kununu-scraper").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 = { "query": "software" } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/kununu-scraper").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 '{ "query": "software" }' | apify call blackfalcondata/kununu-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/kununu-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kununu Scraper - Company Ratings & Employer Reviews (DACH)", "description": "Scrape kununu.com across DACH - company ratings, recommendation rates, 13-factor individual reviews, and salary ranges. Incremental mode tracks changes across runs. Keyword, company-list, or dataset-enrichment input modes.", "version": "0.2", "x-build-id": "UQ4Tmae5FyOHtaThn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~kununu-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-kununu-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~kununu-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-kununu-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~kununu-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-kununu-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Input mode", "enum": [ "keyword", "companyNames", "companyUrls", "datasetId" ], "type": "string", "description": "Which input to use. 'keyword' paginates search results for a query. 'companyNames' looks up a list of company names. 'companyUrls' uses direct kununu URLs. 'datasetId' reads names from an existing Apify dataset. Leave blank to auto-detect from the fields you fill in.", "default": "keyword" }, "query": { "title": "Keyword search", "type": "string", "description": "Search term for keyword mode (e.g. 'software'). Required when mode=keyword. Leave blank for other modes." }, "companyNames": { "title": "Company names", "type": "array", "description": "List of company names to look up on kununu. Best match from first search page is returned.", "items": { "type": "string" } }, "companyUrls": { "title": "Company URLs", "type": "array", "description": "List of kununu company URLs (e.g. https://www.kununu.com/de/bosch-gruppe). Country code and slug are parsed from each URL — URLs can mix DE/AT/CH. Skips search and matching. Incremental mode works per-slug.", "items": { "type": "string" } }, "datasetId": { "title": "Dataset ID", "type": "string", "description": "ID of an existing Apify dataset. Actor reads company names from this dataset and enriches with kununu ratings." }, "companyFieldName": { "title": "Company field name", "type": "string", "description": "Field in the dataset that contains the company name. Default: companyName.", "default": "companyName" }, "deduplicateField": { "title": "Deduplicate field", "type": "string", "description": "Optional field to deduplicate by before lookup (e.g. 'companyId'). Useful when multiple jobs share the same company." }, "countryCode": { "title": "Country code", "enum": [ "de", "at", "ch" ], "type": "string", "description": "Kununu country: de (Germany), at (Austria), ch (Switzerland).", "default": "de" }, "industryId": { "title": "Industry filter (keyword mode only)", "type": "string", "description": "Filter results by industry ID. Only applies in keyword search mode. Common IDs: 1=Banking, 2=Construction, 3=Consulting, 4=Education, 5=Publishing, 6=Finance, 7=Healthcare, 8=Insurance, 9=Pharma, 10=IT/Software, 11=Engineering, 12=Automotive, 13=Chemicals, 14=Transport, 15=Retail, 16=Telecom, 17=Energy, 18=Media, 19=Public sector, 20=NGO, 43=Hotels, 44=Gastronomy. Find other IDs by filtering on kununu.com and checking the URL." }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Maximum number of results to return. 0 = no limit.", "default": 100 }, "maxPages": { "title": "Max pages (keyword mode)", "minimum": 0, "type": "integer", "description": "Maximum number of search result pages to scrape in keyword mode. 0 = no limit.", "default": 10 }, "includeDetails": { "title": "Include detail page", "type": "boolean", "description": "Fetch the company detail page to extract recommendation rate and website. Doubles the number of requests.", "default": false }, "compact": { "title": "Compact output", "type": "boolean", "description": "Return only the most important fields. Useful for AI-agent workflows.", "default": false }, "incrementalMode": { "title": "Incremental mode", "type": "boolean", "description": "Track changes across runs. Emits changeType (NEW/UPDATED/UNCHANGED). NOT_FOUND results are cached for 30 days.", "default": false }, "stateKey": { "title": "State key", "type": "string", "description": "Unique identifier for the incremental state (e.g. 'dach-companies-v1'). Required when incrementalMode is true." }, "includeReviews": { "title": "Include individual reviews", "type": "boolean", "description": "Also scrape individual employee reviews for each matched company. Requires includeDetails=true. Each review becomes a separate dataset item with type='review'.", "default": false }, "maxReviewPages": { "title": "Max review pages per company", "minimum": 0, "type": "integer", "description": "Maximum review pages to scrape per company (10 reviews per page). 0 = no limit. Keep this conservative — popular companies can have hundreds of pages.", "default": 10 }, "reviewSort": { "title": "Review sort order", "enum": [ "relevance", "newest", "oldest", "best", "worst" ], "type": "string", "description": "Sort order for review scraping. Default is kununu's own default (relevance), which pairs reliably with pagination.", "default": "relevance" }, "includeFullSalary": { "title": "Include full salary ranges", "type": "boolean", "description": "Fetch the /gehalt page to get all salary ranges (~20 job titles) instead of the top 3 shown on the detail page. Adds one extra request per company. Requires includeDetails=true.", "default": false }, "includeCulture": { "title": "Include Kulturkompass", "type": "boolean", "description": "Fetch the /kultur page to extract the Kulturkompass: profile-vs-industry compass score (0-200), MODERN/TRADITIONAL binary classification, 4 culture dimensions (leadership, strategic direction, work-life, working together), strength/weakness/most-voted factors, company statements, and culture-tagged review comments. Adds one extra request per company. Requires includeDetails=true. Returns null for companies with too few culture submissions.", "default": false } } }, "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 } } } } } } } } } } ```