{
  "data": {
    "id": "jgN7UAXgcowb9uRyx",
    "userId": "sMUIjSpJT1zbkPiNM",
    "name": "repvue-scraper",
    "username": "solidcode",
    "description": "From 💰 $0.7 per 1K. Extract verified sales-employer reviews, ratings, and compensation data from RepVue.com. Paste company URLs or filter the RepVue directory by industry and company size. Returns one row per company plus optional rows for each verified review (with a recordType discriminator).",
    "isPublic": true,
    "createdAt": "2026-05-18T11:15:52.301Z",
    "modifiedAt": "2026-08-15T15:31:30.821Z",
    "taggedBuilds": {
      "latest": {
        "buildId": "VDfzCRahOENZE9RML",
        "finishedAt": "2026-08-15T15:31:30.821Z",
        "buildNumberInt": 10000007,
        "buildNumber": "1.0.7"
      }
    },
    "stats": {
      "totalBuilds": 7,
      "totalRuns": 265,
      "totalUsers": 5,
      "totalUsers7Days": 1,
      "totalUsers30Days": 1,
      "totalUsers90Days": 3,
      "lastRunStartedAt": "2026-09-26T18:16:39.608Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 34,
        "TIMED-OUT": 0,
        "TOTAL": 34
      }
    },
    "versions": [
      {
        "versionNumber": "1.0",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
      }
    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 3600,
      "memoryMbytes": 4096
    },
    "exampleRunInput": {
      "body": "{ \"helloWorld\": 123 }",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "DEVELOPER_TOOLS",
      "AUTOMATION",
      "OTHER"
    ],
    "isDeprecated": false,
    "title": "RepVue Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/sMUIjSpJT1zbkPiNM-actor-jgN7UAXgcowb9uRyx-aQkdg0EiP9-repvue-logo.jpeg",
    "seoTitle": null,
    "seoDescription": null,
    "pricingInfos": [
      {
        "minimalMaxTotalChargeUsd": null,
        "pricingModel": "PAY_PER_EVENT",
        "isPriceChangeNotificationSuppressed": false,
        "pricingPerEvent": {
          "actorChargeEvents": {
            "apify-actor-start": {
              "eventTitle": "Actor Start",
              "eventDescription": "Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).",
              "isOneTimeEvent": true,
              "eventPriceUsd": 0.00005
            },
            "company-record": {
              "eventTitle": "Company record scraped",
              "eventDescription": "Cost per company record scraped.",
              "isOneTimeEvent": false,
              "eventPriceUsd": 0.01
            },
            "review-record": {
              "eventTitle": "Review",
              "eventDescription": "Each review written to the dataset.",
              "isOneTimeEvent": false,
              "eventPriceUsd": 0.0007,
              "isPrimaryEvent": true
            }
          }
        },
        "startedAt": "2026-05-20T13:27:31.203Z",
        "createdAt": "2026-05-20T13:27:31.401Z",
        "apifyMarginPercentage": 0.2
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## RepVue Scraper\n\nExtracts company profiles, employer scores, per-role compensation benchmarks, and full review threads from RepVue.com for sales-focused employer intelligence. The Actor crawls RepVue directory pages and company profiles (accepting company URLs, bare slugs, or directory filter links) and returns structured company-level metadata (name, industry, employee band, headcount, funding source, active-jobs signal), headline employer scores and subratings, review counts and verified-review share, per-role compensation breakdowns (average and median base, average and median OTE, quota-attainment metrics, highest potential earnings) with a data-freshness indicator, and individual review records containing full review text, average rating, reviewer status/role/location, topical content tags (Compensation, Leadership, Product, Work‑Life Balance, Inbound Lead Flow, etc.), company responses, and timestamps. Designed for large-directory sweeps or targeted company slugs, supports date-window filtering and a lean mode that returns only company summaries for lower-cost market scans. Outputs enable aggregation and time-window comparisons for compensation benchmarking, quota-attainment tracking, and reviewer-verified signal analysis.\n\n## Use cases\n\n- Sales lead research and account intelligence: pull software-industry company profiles with employee-band filtering and OTE benchmarks; identify firms that signal weak inbound lead flow; build watchlists of companies with rising job listings.  \n- Recruiter sourcing and pipeline building: find B2B SaaS companies paying high OTE for Account Executives; prioritize companies with a high share of verified reviews; flag companies with older compensation data for candidate conversations.  \n- Compensation benchmarking: aggregate avg base, avg OTE, and quota-attainment across industries or roles; compare per-role compensation across industries; track quarterly comp shifts using recent-review windows.  \n- Market intelligence and GTM strategy: side-by-side comparisons of employer score, culture and product ratings across industries; identify high-scoring targets for case studies or competitive positioning; detect trending declines by sampling recent vs historical reviews.  \n- Job-seeker diligence: read verified reviews from current and former sales reps at target employers; compare quota-attainment and review topics across finalist companies; review official company responses to employee feedback.  \n- Investor and equity research: surface employee-experience signals for private B2B SaaS companies, track product/leadership/incentive-plan ratings as pre-fundraising indicators, and combine funding source, headcount trajectory, and compensation freshness for portfolio triage.",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCugpjjq1m8ZAMc/zQwQheYgQWKm6li7MHnxnI6r5oPHw/BNGQNaGeuO3hTc7Q1jd/uflmFmUgxTpxcD6/of5GcN5ZqjZuD1kw2tjClHoqffcbEgVNO/0tmoYv/Fi8gOXOWp3N9CK/fYIyxtG262Dpta2sOdVy4If9HFhV8MfHeXRHZjB8wRW9zUb4spTPSAFDArRqusBlSnO/TmAcIHu/StFtiiJ/G4GvDFCKs6aySCamrKWRYmYoJAvThnunJPsD0RzZdhipQEiOPeJHcnr8G4euAO82EYHoyYuC2xQ6JtnU71PnBNTOAZYDTOIvqIoR5YFsuBjnKCYrNakf8jQp1 \n"
  }
}