scrapingbee-cli 1.2.3

Command-line client for the ScrapingBee API: scrape pages (single or batch), crawl sites, check usage/credits, and use Google Search, Fast Search, Amazon, Walmart, YouTube, and ChatGPT from the terminal.

ScrapingBee CLI

Command-line client for the ScrapingBee API: scrape URLs (single or batch), crawl sites, check usage and credits, and use Google, Fast Search, Amazon, Walmart, YouTube, and ChatGPT from the terminal.

Requirements

• Python 3.10+

Setup: Install (below), then authenticate (Configuration). You need a ScrapingBee API key before any command will work.

Installation

Recommended — install with uv (no virtual environment needed):

curl -LsSf https://astral.sh/uv/install.sh | sh
uv tool install scrapingbee-cli

Alternative — install with pip in a virtual environment:

pip install scrapingbee-cli

From source: clone the repo and run pip install -e . in the project root.

Configuration

You need a ScrapingBee API key:

1. scrapingbee auth – Validate and save the key to config (use --api-key KEY for non-interactive; --show to print config path).
2. Environment – export SCRAPINGBEE_API_KEY=your_key
3. .env file – In the current directory or ~/.config/scrapingbee-cli/.env

Remove the stored key with scrapingbee logout. Get your API key from the ScrapingBee dashboard.

Usage

scrapingbee [command] [arguments] [options]

• scrapingbee --help – List all commands.
• scrapingbee [command] --help – Options and parameters for that command.

Options are per-command. Each command has its own set of options — run scrapingbee [command] --help to see them. Common options across batch-capable commands include --output-file, --output-dir, --input-file, --input-column, --concurrency, --output-format, --retries, --backoff, --resume, --update-csv, --no-progress, --extract-field, --fields, --deduplicate, --sample, --post-process, --on-complete, and --verbose. For details, see the documentation.

Commands

Command	Description
usage	Check credits and max concurrency
auth / logout	Save or remove API key
docs	Print docs URL; --open to open in browser
scrape [url]	Scrape a URL (HTML, JS, screenshot, extract)
crawl	Crawl sites following links, with AI extraction and save-pattern filtering
google / fast-search	Search SERP APIs
amazon-product / amazon-search	Amazon product and search
walmart-search / walmart-product	Walmart search and product
youtube-search / youtube-metadata	YouTube search and video metadata
chatgpt	ChatGPT API (--search true for web-enhanced responses)
export	Merge batch/crawl output to ndjson, txt, or csv (with --flatten, --columns)
schedule	Schedule commands via cron (--name, --list, --stop)

Batch mode: Commands that take a single input support --input-file (one line per input, or .csv with --input-column) and --output-dir. Use --output-format to choose between files (default), csv, or ndjson streaming. Add --deduplicate to remove duplicate URLs, --sample N to test on a subset, or --post-process 'jq .title' to transform each result. Use --resume to skip already-completed items after interruption.

Parameters and options: Use space-separated values (e.g. --render-js false), not --option=value. For full parameter lists, response formats, and credit costs, see scrapingbee [command] --help and the ScrapingBee API documentation.

Key features

• AI extraction: --ai-extract-rules '{"price": "product price", "title": "product name"}' pulls structured data from any page using natural language — no CSS selectors needed. Works with scrape, crawl, and batch mode.
• CSS/XPath extraction: --extract-rules '{"title": "h1", "price": ".price"}' for consistent, cheaper production scraping. Find selectors in browser DevTools.
• Pipelines: Chain commands with --extract-field — e.g. google QUERY --extract-field organic_results.url > urls.txt then scrape --input-file urls.txt.
• Update CSV: --update-csv fetches fresh data and updates the input CSV in-place. Ideal for daily price tracking, inventory monitoring, or any dataset that needs periodic refresh.
• Crawl with filtering: --include-pattern, --exclude-pattern control which links to follow. --save-pattern only saves pages matching a regex (others are visited for link discovery but not saved).
• Output formats: --output-format ndjson streams results as JSON lines; --output-format csv writes a single CSV. Default files writes individual files.
• CSV input: --input-file products.csv --input-column url reads URLs from a CSV column.
• Export: scrapingbee export --input-dir batch/ --format csv --flatten --columns "title,price" merges batch output with nested JSON flattening and column selection.
• Scheduling: scrapingbee schedule --every 1d --name prices scrape --input-file products.csv --update-csv registers a cron job. Use --list, --stop NAME, or --stop all.
• Deduplication & sampling: --deduplicate removes duplicate URLs; --sample 100 processes only 100 random items.
• RAG chunking: scrape --chunk-size 500 --chunk-overlap 50 --return-page-markdown true outputs NDJSON chunks ready for vector DB ingestion.

Examples

scrapingbee usage
scrapingbee scrape "https://example.com" --output-file page.html
scrapingbee scrape "https://example.com/product" --ai-extract-rules '{"title": "product name", "price": "price"}'
scrapingbee google "pizza new york" --extract-field organic_results.url > urls.txt
scrapingbee scrape --input-file urls.txt --output-dir pages --deduplicate
scrapingbee crawl "https://store.com" --output-dir products --save-pattern "/product/" --ai-extract-rules '{"name": "name", "price": "price"}' --max-pages 200 --concurrency 200
scrapingbee export --input-dir products --format csv --flatten --columns "name,price" --output-file products.csv
scrapingbee scrape --input-file products.csv --input-column url --update-csv --ai-extract-rules '{"price": "current price"}'
scrapingbee schedule --every 1d --name price-tracker scrape --input-file products.csv --input-column url --update-csv --ai-extract-rules '{"price": "price"}'
scrapingbee schedule --list

More information

• CLI Documentation – Full CLI reference with pipelines, parameters, and examples.
• Advanced usage examples – Shell piping, command chaining, batch workflows, monitoring scripts, NDJSON streaming, screenshots, Google search patterns, LLM chunking, and more.
• ScrapingBee API documentation – Parameters, response formats, credit costs, and best practices.
• Claude / AI agents: This repo includes a Claude Skill and Claude Plugin for agent use with file-based output and security rules.

Testing

Pytest is configured in pyproject.toml ([tool.pytest.ini_options]). From the project root:

1. Install the package with dev dependencies

pip install -e ".[dev]"

2. Run tests

Command	What runs
pytest tests/unit	Unit tests only (no API key needed)
pytest -m "not integration"	All except integration (no API key needed)
pytest	Full suite (integration tests require SCRAPINGBEE_API_KEY)
python tests/run_e2e_tests.py	E2E tests (182 tests, requires SCRAPINGBEE_API_KEY)
python tests/run_e2e_tests.py --filter GG	E2E tests filtered by prefix

Integration tests call the live ScrapingBee API and are marked with @pytest.mark.integration.