Handbook / Module 4 / Lesson 2

Crawl Stats Report: Host Status, Bot Types, and Response Codes

Decode Google's Crawl Stats report, monitor host availability and server response times, and analyze crawl breakdowns across bot types and file extensions.

Advanced 21 min read #Crawl Stats #Host Status #Bot Types #HTTP Status Codes #Server Health

Google’s Deep Infrastructure Window

Hidden under Settings > Crawl stats lies one of the most powerful infrastructure diagnostic tools available to systems architects and technical SEOs: the Crawl Stats Report.

Unlike typical reports that measure searcher clicks, Crawl Stats reveals the raw network-level interaction between Google’s distributed crawler clusters and your web hosting infrastructure over the past 90 days.


The Three High-Level Diagnostic Graphs

Google Search Console Crawl Stats Report Interface Figure 4.2: The Crawl Stats dashboard displaying Total crawl requests (2.67M), Total download size (45.8 GB), Average response time (312 ms), and the Host status check telemetry.

┌────────────────────────────────────────────────────────────────────────┐
│  1. Total crawl requests: Number of HTTP fetches attempted by Google   │
│  2. Total download size: Total bytes downloaded across all assets     │
│  3. Average response time: Milliseconds elapsed between request & byte │
└────────────────────────────────────────────────────────────────────────┘
Watch the **Average response time (ms)** graph closely! There is an inverse relationship between server response time and crawl volume: - When response time climbs above **800ms - 1,200ms**, Googlebot automatically throttles its request frequency to prevent crashing your server. - When response time drops below **200ms - 300ms**, Googlebot rapidly increases its crawl volume, discovering and indexing newly published pages faster.

Host Status: The 90-Day Uptime Gauge

Google assesses whether your hosting infrastructure is capable of sustaining crawls across three critical layers:

┌────────────────────────────────────────────────────────────────────────┐
│                          HOST STATUS CHECKLIST                         │
│                                                                        │
│  [✓] Robots.txt fetch: Did Googlebot encounter 5xx errors reading it? │
│  [✓] DNS resolution: Did your nameservers fail to resolve queries?     │
│  [✓] Server connectivity: Did TCP handshakes or TLS handshakes fail?   │
└────────────────────────────────────────────────────────────────────────┘

If any layer turns red in GSC:

  • Robots.txt fetch failure: Googlebot treats a 5xx Server Error on /robots.txt as a hard stop. It halts all crawling across your entire website because it cannot verify whether crawling is legally permitted!
  • Server connectivity failure: Indicates dropped connections, SYN timeouts, or aggressive firewall rate-limiting blocking Googlebot IPs.

Crawl Requests Breakdown Analysis

GSC categorizes all crawl events across four distinct dimensions:

1. By Response Code

  • OK (200): Should represent 85%+ of requests on a well-architected website.
  • Moved permanently (301): High percentages indicate excessive redirect chains being crawled repeatedly.
  • Not found (404): Indicates dead internal links or legacy external backlinks wasting crawler bandwidth.
  • Server error (5xx): Direct infrastructure alert requiring immediate DevOps investigation.

2. By Purpose

  • Discovery: Googlebot crawling a URL for the very first time.
  • Refresh: Googlebot recrawling a previously known URL to detect changes.

3. By Googlebot Type

  • Googlebot smartphone: Mobile crawler (typically 75%–90% of requests).
  • Googlebot desktop: Desktop crawler.
  • Googlebot Image / Video: Media-specific indexers.
  • Page Resource Load: Headless browser fetching CSS, JS, and font dependencies.

4. By File Type

  • HTML, JSON (APIs), Image, Script, CSS, or Other.
An enterprise media site noticed that new news articles took 48 hours to get indexed. Looking at the **Crawl Stats > By File Type** report, they discovered that **72% of all crawl requests were fetching unminified, uncached JavaScript bundles** instead of HTML pages!

Solution: They configured HTTP caching headers (Cache-Control: public, max-age=31536000, immutable) on their static bundles. Once Googlebot cached the scripts, it redirected its crawl capacity to HTML pages, reducing new article indexing latency from 48 hours to under 30 minutes.


Lab Challenge: Audit Your Crawl Health

1. Navigate to **Settings > Crawl stats**. 2. Check your **Host status** over the last 90 days. Are all three indicators showing green checkmarks? 3. Review your **Average response time**. Is it under 400ms? 4. Inspect the **By response** chart. What percentage of Google's crawl requests return 4xx or 5xx codes?