# PDF Table Extractor Comparison by Buyer Fit

**Use case:** 

This task compares PDF table extractors based on buyer fit, returning structured data relevant to decision-making.

## Input

```json
{
  "searchKeywords": [
    "compare pdf table extractor / docling wrapper by buyer fit",
    "pdf table extractor / docling wrapper"
  ],
  "taskIntent": "compare-buyer-fit",
  "sourceMode": "startUrls",
  "outputMode": "buyer-ready-records",
  "startUrls": [
    {
      "url": "https://docs.apify.com/platform/storage/dataset",
      "sourceId": "APIFY-DATASET",
      "userData": {
        "sourceId": "APIFY-DATASET"
      }
    }
  ],
  "maxItems": 10,
  "perSourceLimit": 25,
  "maxTotalChargeUsd": 5,
  "overallTimeoutSecs": 900,
  "requestTimeoutSecs": 30,
  "maxRequestRetries": 2,
  "sinceLastRun": false,
  "deltaMode": true
}
```

## Output

```json
{
  "opportunityId": {
    "label": "Opportunity Id",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "buyerName": {
    "label": "Buyer Name",
    "format": "string"
  },
  "deadline": {
    "label": "Deadline",
    "format": "string"
  },
  "estimatedValue": {
    "label": "Estimated Value",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "sourceUrl": {
    "label": "Source Url",
    "format": "string"
  },
  "fitScore": {
    "label": "Fit Score",
    "format": "number"
  },
  "recordId": {
    "label": "Record id",
    "format": "string"
  },
  "sourceName": {
    "label": "Source name",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "confidence": {
    "label": "Confidence",
    "format": "number"
  },
  "retrievedAt": {
    "label": "Retrieved at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [PDF Table Extractor / Docling Wrapper](https://apify.com/zentrafoundry/pdf-table-docling-extractor) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zentrafoundry/pdf-table-docling-extractor) to learn more, explore other use cases, and run it yourself.