grabba 0.0.2

Python SDK for Grabba API

Grabba Python SDK

Grabba Python SDK provides a simple and intuitive interface for scheduling web data extraction jobs, retrieving job results, and managing your extraction workflows.

Installation

Install the SDK using pip:

pip install grabba

Basic Setup

Import the client and required types

from grabba import Grabba, Job, JobNavigationType, JobSchedulePolicy, JobTaskType

Initialize a client instance

grabba = Grabba(api_key="your-api-key", region="US")  # Optional: Defaults to US

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Methods

extract

extract(job: Job) -> Dict

Schedules a new web data extraction job.

Parameters:

• job: A Job object containing the extraction configuration.

Returns:

• A dictionary containing the response status, message, and jobResult.

Example:

job = Job(
    url="https://docs.grabba.dev/home",
    schedule={"policy": JobSchedulePolicy.IMMEDIATELY},
    navigation={"type": JobNavigationType.NONE},
    tasks=[{"type": JobTaskType.WEB_PAGE_AS_MARKDOWN}],
)

response = grabba.extract(job)
print(f"Job completed with status: {response['status']}")

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schedule_job

schedule_job(job_id: str) -> Dict

Schedules an existing job for execution.

Parameters:

• job_id: The ID of the job to schedule.

Returns:

• A dictionary containing the response status, message, and jobResult.

Example:

response = grabba.schedule_job("12345")
print(f"Job completed with status: {response['status']}")

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get_jobs

get_jobs() -> GetJobsResponse

Retrieves a list of all jobs associated with the API key.

Returns:

• A list of Job objects.

Example:

jobs = grabba.get_jobs()
for job in jobs:
    print(job)

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get_job

get_job(job_id: str) -> GetJobResponse

Retrieves details of a specific job by its ID.

Parameters:

• job_id: The ID of the job to retrieve.

Returns:

• A JobDetail object containing job details.

Example:

job = grabba.get_job("12345")
print(job)

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get_job_result

get_job_result(job_result_id: str) -> JobResult

Retrieves the results of a specific job by its result ID.

Parameters:

• job_result_id: The ID of the job result to retrieve.

Returns:

• A JobResult object.

Example:

result = grabba.get_job_result("67890")
print(result)

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get_available_regions

get_available_regions() -> List[Dict[str, PuppetRegion]]

Retrieves a list of available regions for Web Agent execution.

Returns:

• A list of region objects.

Example:

regions = grabba.get_available_regions()
print(regions)

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Types

Job

Represents a web data extraction job.

@dataclass
class Job:
    url: str
    tasks: List[JobTask]
    schedule: Optional[JobSchedule] = None
    navigation: Optional[JobNavigation] = None
    puppetConfig: Optional[WebAgentConfig] = None

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JobTask

Represents a single task in an extraction job.

@dataclass
class JobTask:
    type: JobTaskType
    options: Optional[Union[SpecificDataExtractionOptions, WebpageAsMarkdownOptions, WebScreenCaptureOptions]] = None

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JobTaskType

Enumeration of available job task types.

class JobTaskType(str, Enum):
    WEB_PAGE_AS_HTML = "webPageAsHTML"
    WEB_PAGE_METADATA = "webPageMetadata"
    WEB_SCREEN_CAPTURE = "webScreenCapture"
    WEB_PAGE_AS_MARKDOWN = "webPageAsMarkdown"
    SPECIFIC_DATA_EXTRACTION = "specificDataExtraction"

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JobResult

Represents the result of a job.

@dataclass
class JobResult:
    id: str
    output: Dict[str, Dict]
    startTime: datetime
    stopTime: datetime
    duration: str

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WebAgentConfig

Configuration for Web Agent.

@dataclass
class WebAgentConfig:
    region: PuppetRegion
    deviceType: Optional[PuppetDeviceType] = None
    viewport: Optional[Dict] = None

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Error Handling

The SDK throws errors for:

• Invalid API keys
• Failed API requests
• Missing or invalid parameters

Example:

try:
    response = grabba.extract(job)
    if response["status"] == "success":
        print("Results data:", response["output"]["data"])
    else:
        print("Error message:", response["message"])
except Exception as err:
    print("Error:", err)

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Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

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License

This project is licensed under the MIT License. See the LICENSE file for details.