Scrapfly Crawler

Use the Scrapfly Crawler API via the Python SDK to schedule and manage site-wide crawl jobs with automatic link discovery, depth control, and structured data extraction.

When to use

• Crawling entire websites or specific sections
• Discovering all pages/URLs on a site
• Collecting content from multiple pages in bulk
• Extracting structured data at scale across a site
• Downloading site archives (WARC/HAR format)
• Building LLM.txt files from crawled documentation

Setup

pip install scrapfly-sdk

The API key must be provided via environment variable SCRAPFLY_API_KEY or passed directly to the client.

SDK Imports

from scrapfly import ScrapflyClient, CrawlerConfig, Crawl

Additional imports for webhooks:

from scrapfly import (
    webhook_from_payload,
    CrawlStartedWebhook,
    CrawlUrlDiscoveredWebhook,
    CrawlUrlFailedWebhook,
    CrawlCompletedWebhook,
)

CrawlerConfig Parameters

Webhook Events

• "crawler_started" - Crawler execution began
• "crawler_url_visited" - A URL was successfully crawled
• "crawler_url_skipped" - URLs were skipped
• "crawler_url_discovered" - New URLs were discovered
• "crawler_url_failed" - A URL failed to crawl
• "crawler_stopped" - Crawler stopped due to failure or limits
• "crawler_cancelled" - Crawl was manually cancelled
• "crawler_finished" - Crawler completed successfully

Examples

Quick start: crawl and get results

import os
from scrapfly import ScrapflyClient, CrawlerConfig, Crawl

client = ScrapflyClient(key=os.environ["SCRAPFLY_API_KEY"])

# Create, start, and wait for crawl in one chain
# 2. Create and run crawler
crawl = Crawl(
    client,
    CrawlerConfig(url='https://web-scraping.dev/products', page_limit=5)
).crawl().wait()

# 3. Get results
pages = crawl.warc().get_pages()

# 4. Process results
print(f"Crawled {len(pages)} pages:")
for page in pages:
    print(f"  • {page['url']} ({page['status_code']})")

# 5. Access specific URLs
html = crawl.read('https://web-scraping.dev/products')
if html:
    print(f"\nMain page is {len(html):,} bytes")

Low-level workflow: start, poll, download

import os
import time
from scrapfly import ScrapflyClient, CrawlerConfig

client = ScrapflyClient(key=os.environ["SCRAPFLY_API_KEY"])

config = CrawlerConfig(
    url='https://web-scraping.dev',
    page_limit=10,
    max_depth=2,
    content_formats=['html', 'markdown']
)

# 1. Start crawler
start_response = client.start_crawl(config)
print(f"Crawler started: {start_response.uuid}")

# 2. Poll for status
while True:
    status = client.get_crawl_status(start_response.uuid)
    print(f"Status: {status.status} - {status.progress_pct:.1f}%")
    print(f"Crawled: {status.urls_crawled}/{status.urls_discovered} pages")

    if status.is_complete:
        break
    elif status.is_failed:
        print("Crawl failed!")
        break

    time.sleep(5)

# 3. Download and process results
if status.is_complete:
    artifact = client.get_crawl_artifact(start_response.uuid)
    pages = artifact.get_pages()
    print(f"Downloaded {len(pages)} pages")

    for page in pages:
        print(f"  {page['url']}: {page['status_code']} ({len(page['content'])} bytes)")

    # Save to file
    artifact.save('crawl_results.warc.gz')

Crawl with path filtering

config = CrawlerConfig(
    url='https://web-scraping.dev/',
    page_limit=50,
    max_depth=5,
    include_only_paths=['*/product/*'],
    content_formats=['markdown', 'text'],
)
crawl = Crawl(client, config).crawl().wait()

Crawl with anti-bot bypass

config = CrawlerConfig(
    url='https://web-scraping.dev',
    page_limit=50,
    asp=True,
    content_formats=['html'],
)
crawl = Crawl(client, config).crawl().wait()

Crawl with extraction rules

config = CrawlerConfig(
    url='https://web-scraping.dev/products',
    page_limit=100,
    max_depth=3,
    include_only_paths=['/products/*'],
    extraction_rules={
        "/products/*": {
            "type": "model",
            "value": "product",
        },
    },
)
crawl = Crawl(client, config).crawl().wait()

Read content for specific URLs

# Read HTML (from WARC - fast)
content = crawl.read('https://web-scraping.dev/product/1')
if content:
    print(f"URL: {content.url}")
    print(f"Status: {content.status_code}")
    print(f"Duration: {content.duration}s")
    print(content.content)

# Read markdown (from contents API)
content = crawl.read('https://web-scraping.dev/product/1', format='markdown')
if content:
    print(content.content)

Iterate URLs matching a pattern

for content in crawl.read_iter(pattern="*/products?page=*", format="markdown"):
    print(f"{content.url}: {len(content.content)} chars")

Batch content retrieval

# Get markdown for multiple URLs in a single API call (max 100 per request)
urls = ['https://web-scraping.dev/product/1', 'https://web-scraping.dev/product/2']
contents = crawl.read_batch(urls, formats=['markdown'])

for url, formats_dict in contents.items():
    markdown = formats_dict.get('markdown', '')
    print(f"{url}: {len(markdown)} chars")

Download WARC/HAR archive

# WARC format (default)
artifact = crawl.warc()
artifact.save('crawl_results.warc.gz')

# HAR format
artifact = crawl.har()
artifact.save('crawl_results.har')

# Iterate through records
for record in artifact.iter_responses():
    print(f"{record.url}: {record.status_code}")

Build LLM.txt from crawled documentation

import os
from scrapfly import ScrapflyClient, CrawlerConfig, Crawl

client = ScrapflyClient(key=os.environ["SCRAPFLY_API_KEY"])

config = CrawlerConfig(
    url='https://web-scraping.dev/',
    include_only_paths=['/docs', '/docs/*'], # only allow doc resources
    page_limit=50,
    max_depth=5,
    follow_external_links=False,
    content_formats=['markdown'],
)

crawl = Crawl(client, config).crawl().wait(poll_interval=5, verbose=True)

# Get URLs from WARC
warc_artifact = crawl.warc()
all_urls = [
    record.url for record in warc_artifact.iter_responses()
    if record.status_code == 200
]

# Retrieve markdown content in batches
all_contents = {}
for i in range(0, len(all_urls), 100):
    batch_urls = all_urls[i:i + 100]
    batch_contents = crawl.read_batch(batch_urls, formats=['markdown'])
    all_contents.update(batch_contents)

# Build llms-full.txt
lines = ["# Documentation\n"]
for url, formats_dict in all_contents.items():
    markdown = formats_dict.get('markdown', '').strip()
    if markdown:
        lines.append(f"---\n\n### {url}\n\n{markdown}\n")

with open("llms-full.txt", "w", encoding="utf-8") as f:
    f.write("\n".join(lines))

Crawl statistics

stats = crawl.stats()
print(f"URLs discovered: {stats['urls_discovered']}")
print(f"URLs crawled: {stats['urls_crawled']}")
print(f"Progress: {stats['progress_pct']:.1f}%")

Key SDK Classes

Important Notes

• Use page_limit to control credit spend on large sites
• Use include_only_paths and exclude_paths to focus crawls on relevant sections
• exclude_paths and include_only_paths are mutually exclusive
• Crawl jobs are asynchronous - use Crawl.crawl().wait() for simple workflows or poll with client.get_crawl_status() for more control
• WARC/HAR artifacts are available for offline processing via crawl.warc() / crawl.har()
• read_batch() supports up to 100 URLs per request for efficient bulk content retrieval
• Webhook signatures should be verified for security in production
• follow_external_links should be used carefully to avoid crawling the entire web