界面已本地化;技能介绍与说明文档按所选语言由 AI 自动翻译,代码、命令、路径和专业术语保留原文,以原作者文档为准。
探索技能
设计与创意 · SKILL.md

brightdata-sdk-patterns

brightdata-sdk-patterns

【设计与创意】Wrap the official Bright Data Python SDK and REST contracts behind a typed, testable client boundary. Use when adding SDK calls, isolating provider upgrades, or normalizing scraper and Browser API results. Trigger with: "wrap the Bright Data SDK", "design a Bright Data client", "pin Bright Data Python dependencies".

独立 GitHub 快照 · 自动分类 · 以原作者文档为准

技能说明

GitHub

name: brightdata-sdk-patterns description: 'Wrap the official Bright Data Python SDK and REST contracts behind a typed, testable client boundary. Use when adding SDK calls, isolating provider upgrades, or normalizing scraper and Browser API results. Trigger with: "wrap the Bright Data SDK", "design a Bright Data client", "pin Bright Data Python dependencies".' allowed-tools: Read, Grep, Write, Edit, Bash(python:*) version: 2.0.0 argument-hint: "[client-module]" model: inherit effort: high license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • web-data
  • bright-data
  • sdk-patterns
  • operations compatibility: 'Requires an approved Bright Data account or offline fixtures, current Bright Data documentation, and an authorized public-data collection purpose'

Bright Data Typed Client Boundary

Overview

Use the official Python SDK where it matches the workload, but keep product choice, authorization, retry policy, and domain schemas outside vendor objects. Pin the dependency and expose a small application-owned interface.

Prerequisites

  • A Python project with a lockfile and supported runtime
  • An approved Bright Data product and credential mode
  • Synthetic contract fixtures for every exposed operation

Instructions

Step 1: Pin and inspect

Read the lockfile and Grep for direct Bright Data imports. Pin the reviewed SDK release through the repository dependency workflow rather than embedding a version in this skill.

Step 2: Define the port

Write an application interface that returns normalized records and provider receipts, not raw SDK response objects.

from dataclasses import dataclass

@dataclass(frozen=True)
class CollectionReceipt:
    operation_id: str
    state: str
    records: int | None
    provider_code: str | None

Step 3: Implement adapters

Keep API-key, proxy-zone, and Browser API adapters separate. Map documented terminal states and current x-brd-* errors into stable application failure classes.

Step 4: Verify the seam

Use Bash(python:*) to run type checks and fixture tests. Compare the locked SDK behavior with the current official SDK docs before any upgrade.

Tool Discipline

Use Read and Grep to locate dependency and transport boundaries. Use Write and Edit for the typed port, provider adapters, and tests. Use Bash(python:*) only for local type/test commands; live SDK calls require a separate authorized workflow.

Output

  • Pinned SDK dependency and application-owned port
  • Separate credential/product adapters
  • Normalized receipts and fixture-backed failure mapping

Examples

Expose trigger_collection, get_progress, and download_snapshot through your own protocol. Keep a vendor response fixture at the boundary, map it once, and let downstream code depend only on CollectionReceipt.

Error Handling

FailureMeaningResponse
SDK object escapes the adapterProvider coupling reaches domain codeNormalize the response at the boundary
Upgrade changes a field or stateLockfile moved without contract reviewHold the upgrade and refresh fixtures from documentation
Client selects a product implicitlyPolicy and cost behavior become hiddenRequire an explicit product configuration

Resources

我的收藏