{
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    "userId": "2Sdt05QypASulbUn1",
    "name": "sec-edgar-fulltext-search",
    "username": "themineworks",
    "description": "Search the full text of every SEC EDGAR filing since 2001 across all companies. Find any phrase or risk factor in 10-K, 10-Q, 8-K, S-1 filings. Filter by form and date. Clean JSON, no API key. Works in Claude, ChatGPT and any MCP agent.",
    "isPublic": true,
    "createdAt": "2026-06-15T10:55:16.171Z",
    "modifiedAt": "2026-07-17T15:40:42.706Z",
    "taggedBuilds": {
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        "finishedAt": "2026-07-17T15:40:42.706Z",
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        "buildNumber": "0.1.14"
      }
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    "stats": {
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      "totalRuns": 33,
      "totalUsers": 3,
      "totalUsers7Days": 1,
      "totalUsers30Days": 2,
      "totalUsers90Days": 2,
      "lastRunStartedAt": "2026-07-24T11:40:36.464Z",
      "actorReviewCount": 0,
      "actorReviewRating": 0,
      "bookmarkCount": 0,
      "publicActorRunStats30Days": {
        "ABORTED": 0,
        "FAILED": 0,
        "SUCCEEDED": 14,
        "TIMED-OUT": 0,
        "TOTAL": 14
      }
    },
    "versions": [
      {
        "versionNumber": "0.1",
        "sourceType": "SOURCE_FILES",
        "buildTag": "latest"
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    ],
    "defaultRunOptions": {
      "build": "latest",
      "timeoutSecs": 300,
      "memoryMbytes": 512
    },
    "exampleRunInput": {
      "body": "{ \"helloWorld\": 123 }",
      "contentType": "application/json; charset=utf-8"
    },
    "categories": [
      "BUSINESS",
      "AI"
    ],
    "isDeprecated": false,
    "title": "SEC EDGAR Full Text Search Scraper",
    "pictureUrl": "https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/2Sdt05QypASulbUn1-actor-YW0vzscxxCcSWndrz-835GdC5YrH-government.png",
    "seoTitle": "SEC EDGAR Full-Text Search API - Filings Scraper (No Key)",
    "seoDescription": "Search the full text of every SEC EDGAR filing since 2001 across all companies. Find any phrase or risk factor in 10-K, 10-Q, 8-K, S-1 filings. Filter by",
    "pricingInfos": [
      {
        "pricingModel": "PAY_PER_EVENT",
        "createdAt": "2026-06-15T10:56:41.237Z",
        "startedAt": "2026-06-26T00:00:00.000Z",
        "pricingPerEvent": {
          "actorChargeEvents": {
            "filing-hit-scraped": {
              "eventTitle": "Filing hit",
              "eventDescription": "Charged per matching filing returned",
              "eventPriceUsd": 0.003
            }
          }
        },
        "apifyMarginPercentage": 0.2
      }
    ],
    "notice": "NONE",
    "isCritical": false,
    "isGeneric": false,
    "hasNoDataset": false,
    "isSourceCodeHidden": true,
    "standbyUrl": null,
    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## SEC EDGAR Full Text Search: Filings Scraper (No Key)\n\nA full-text search engine for SEC EDGAR filings that queries the SEC search-index endpoint to find words or exact phrases across all companies (coverage since 2001), applies form-type and filing-date filters, walks offset pagination, and normalizes raw Elasticsearch results into one flat record per matching filing. Outputs are structured records that include company identity and identifiers, form type and document description, filing and reporting dates, accession identifiers, industry classification, business and incorporation locations, and a direct URL to the filing document. Technical capabilities include quoted-phrase matching, form and date filtering, newest-first sorting, construction of click-ready document links, and normalization of cryptic Elasticsearch JSON into searchable, RAG- and AI-ready filing metadata; the actor operates against the public SEC endpoint and follows EDGAR fair-access User-Agent conventions.\n\n## Use cases\n\n- Thematic equity research: find companies disclosing a specific topic across filings and analyze concentration by industry and geography.  \n- Risk factor monitoring: track occurrences of a specific risk disclosure across filers and over time.  \n- Event detection and screening: surface 8-Ks or other forms mentioning people, deals, products, or catalysts for M&A and corporate-event workflows.  \n- Building AI / RAG corpora: assemble topic-specific sets of filings and link to primary documents for downstream text retrieval and embeddings.  \n- Compliance and legal research: search regulatory disclosures, filings language, and document-level references across form types.  \n- Fintech data enrichment: index and filter filings by form type and filing date for integration into financial research pipelines.",
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}