Agricultural datasets

Identify resource allocation, investment, and product development opportunities using agricultural datasets.

  • Available as a custom dataset request
  • Tap into all public data points available on websites
  • 100% compliant scraping
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Agricultural dataset
                              {
  "type": "object",
  "fields": {
    "agricultural_records": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "record_id": {
            "type": "text",
            "active": true,
            "sample_value": "AGR12345"
          },
          "crop_type": {
            "type": "text",
            "active": true,
            "sample_value": "Corn"
          },
          "region": {
            "type": "text",
            "active": true,
            "sample_value": "Midwest USA"
          },
          "date": {
            "type": "date",
            "active": true,
            "sample_value": "2023-06-01"
          },
          "yield_data": {
            "type": "object",
            "active": true,
            "fields": {
              "yield_per_hectare": {
                "type": "number",
                "active": true,
                "sample_value": 8.5
              },
              "total_yield": {
                "type": "number",
                "active": true,
                "sample_value": 1500
              }
            }
          },
          "weather_conditions": {
            "type": "object",
            "active": true,
            "fields": {
              "temperature_avg": {
                "type": "number",
                "active": true,
                "sample_value": 22.5
              },
              "precipitation": {
                "type": "number",
                "active": true,
                "sample_value": 30.2
              },
              "humidity": {
                "type": "number",
                "active": true,
                "sample_value": 65.0
              }
            }
          },
          "soil_data": {
            "type": "object",
            "active": true,
            "fields": {
              "soil_type": {
                "type": "text",
                "active": true,
                "sample_value": "Loamy"
              },
              "soil_moisture": {
                "type": "number",
                "active": true,
                "sample_value": 20.5
              },
              "ph_level": {
                "type": "number",
                "active": true,
                "sample_value": 6.8
              }
            }
          },
          "pest_management": {
            "type": "object",
            "active": true,
            "fields": {
              "pest_type": {
                "type": "text",
                "active": true,
                "sample_value": "Aphids"
              },
              "control_method": {
                "type": "text",
                "active": true,
                "sample_value": "Organic pesticide"
              },
              "application_date": {
                "type": "date",
                "active": true,
                "sample_value": "2023-05-15"
              }
            }
          },
          "fertilizer_data": {
            "type": "object",
            "active": true,
            "fields": {
              "fertilizer_type": {
                "type": "text",
                "active": true,
                "sample_value": "Nitrogen-based"
              },
              "application_rate": {
                "type": "number",
                "active": true,
                "sample_value": 120
              },
              "application_date": {
                "type": "date",
                "active": true,
                "sample_value": "2023-05-10"
              }
            }
          },
          "source": {
            "type": "object",
            "active": true,
            "fields": {
              "source_name": {
                "type": "text",
                "active": true,
                "sample_value": "National Agricultural Database"
              },
              "source_url": {
                "type": "url",
                "active": true,
                "sample_value": "https://agriculture.gov/data"
              },
              "retrieved_date": {
                "type": "date",
                "active": true,
                "sample_value": "2023-06-02"
              }
            }
          }
        }
      }
    },
    "url": {
      "type": "url",
      "required": true,
      "active": true,
      "sample_value": "https://example.com/agricultural_data"
    }
  }
}
                              
                            

Agricultural dataset sample

Choose from fully managed or self-managed agricultural datasets. Fully managed datasets provide a hands-off experience, curated and maintained by our partners. For self-managed custom datasets, you can set up the project and define specific data collection and validation rules. The agricultural data points may include crop type, yield, soil moisture, temperature, precipitation, and more.
THE PROCESS

Automated dataset creation platform

Streamline your data-collection process so you can focus on what matters.
  1. Initial setup

    Add the URLs of your target website.

  2. Sample creation

    Get AI-generated schema and sample. Set up validation rules.

  3. Proof of concept

    The scraper is built based on schema and validation rules.

  4. Data collection & delivery

    Data is collected and delivered.

Custom Dataset Pricing

CUSTOM DATASET
Subscription
Starting from
$300/month
One time
Starting from
$1,000
Proof of Concept
One time
$500
  • AI-Generated schema & sample
  • Control over data validation
  • Real-time product quantity est.
  • Daily, Weekly, Monthly, Custom

Agricultural datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

Data subscription

Subscribe to access datasets at a significantly reduced cost.

File output formats

JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.

Flexible delivery

Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.

Scalable data

Scale without worrying about infra, proxy servers, or blocks.

Cost savings

Customize any dataset using filters and formatting options.

Code maintenance

Datasets are maintained based on website structure changes.

Simplified integrations

Benefit from integrations with Snowflake and AWS.

24/7 support

A dedicated team of data professionals is here to help.

Leaders in compliance

Data is ethically obtained and compliant with all privacy laws.

Get structured and reliable Agricultural data

We’ll provide the data while you focus on the rest

High-volume web data

With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.

Data for immediate use

Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.

Automated data flow

Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.

How companies use Agricultural datasets

Agricultural planning

Leverage agricultural datasets to plan crop planting and harvesting schedules, fertilization, and irrigation strategies, based on soil quality, weather patterns, and other variables.
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Crop yield analysis

Risk assessment

Identify risks, develop contingency plans, and manage crop yield risks associated with weather patterns and pests using agricultural datasets.
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Agricultural risk assessment

Water usage and irrigation

Optimize irrigation strategies for crops using agricultural datasets. Monitoring soil moisture levels and weather patterns can reduce crop yields and water waste.
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water usage optimization

Get your Agricultural dataset today.