Official statement
Other statements from this video 13 ▾
- 9:53 Le budget de crawl est-il vraiment inutile pour les petits sites ?
- 15:14 Comment Google décide-t-il quelles pages crawler en priorité sur votre site ?
- 25:55 Qu'est-ce que la demande de crawl et comment Google la calcule-t-il vraiment ?
- 37:38 Le crawl budget augmente-t-il vraiment avec la vitesse de votre serveur ?
- 41:11 Pourquoi un site lent tue-t-il votre taux de crawl Google ?
- 43:17 Peut-on vraiment limiter le taux de crawl de Google sans risquer son référencement ?
- 46:04 Le budget de crawl, simple combinaison de taux et de demande ?
- 61:43 Pourquoi Google réserve-t-il le rapport Crawl Stats aux propriétés de domaine uniquement ?
- 69:24 Les ressources externes faussent-elles vos statistiques de crawl ?
- 77:09 Le temps de réponse exclut-il vraiment le rendu de page dans Search Console ?
- 82:21 Pourquoi une chute brutale des requêtes de crawl peut-elle révéler un problème de robots.txt ou de temps de réponse ?
- 87:00 Le temps de réponse serveur influence-t-il vraiment le taux de crawl de Googlebot ?
- 101:16 Pourquoi un code 503 sur robots.txt peut-il bloquer tout le crawl de votre site ?
Google automatically adjusts the number of simultaneous connections that its crawlers can open on your site to avoid overwhelming your servers. This crawl rate determines the maximum speed at which your pages can be crawled, but it does not guarantee that all of them will be. Specifically, if your infrastructure artificially limits this rate, you risk hindering the indexing of your strategic content.
What you need to understand
Why does Google calculate a specific crawl rate for each site? <\/h3>
Google cannot afford to overload the servers <\/strong> of the sites it crawls. The crawl rate represents the upper limit of simultaneous connections that a bot can establish with your infrastructure. It is not a quota of pages per day, but a technical speed ceiling <\/strong>.<\/p> This limitation protects your site from sudden spikes in load. If Googlebot were to open 500 simultaneous connections on a server designed for 100, the site would risk crashing or slowing down drastically. Google therefore adjusts this rate based on the observed capacity of your infrastructure <\/strong> to respond without degrading its performance.<\/p> No, and that’s where the confusion lies. The crawl rate defines a maximum speed <\/strong>, not a volume commitment. Even if Google can crawl your site quickly, it will only do so if your pages have a sufficient perceived value <\/strong> to justify that crawl time.<\/p> The crawl budget—a distinct concept—determines how many pages Google deems useful to crawl daily. The rate solely conditions the maximum cadence. A site can have a high crawl rate but a low budget if its content is deemed low priority.<\/p> Google observes the response times of your server <\/strong> during previous crawls. If your pages respond quickly and without 5xx errors, the rate may increase. Conversely, timeouts or slow responses signal an overstressed infrastructure, and the rate decreases.<\/p> This regulation is dynamic. A site migrating to a high-performing infrastructure typically sees its crawl rate rise after a few days. Google gradually tests the endurance by increasing simultaneous connections <\/strong> until it detects a plateau in performance.<\/p>Does this crawl rate guarantee that all my pages will be crawled? <\/h3>
How does Google measure the capacity of my servers? <\/h3>
SEO Expert opinion
Is this statement consistent with real-world observations? <\/h3>
Yes, but it overlooks part of the problem. SEO practitioners do indeed observe that sites with high-performing infrastructures <\/strong> experience more aggressive crawls. However, Google does not specify how this rate interacts with the total crawl budget allocated to the site.<\/p> On sites with millions of pages, even a high crawl rate is insufficient if the allocated budget is too low. You may have a server capable of handling 200 simultaneous connections, but if Google decides to crawl only 10,000 pages per day, the rate becomes secondary <\/strong>. [To be verified] <\/strong>: Google never discloses the exact thresholds for rates or the algorithms used to calculate this ceiling.<\/p> Beyond server response times, several signals come into play. The popularity of the site <\/strong>, the frequency of content updates, and even the overall perceived quality matter. A news site with high organic traffic often enjoys a more generous rate than a static corporate site.<\/p> Complex network configurations—CDN, firewalls, aggressive rate limiting—can artificially restrict this rate. If your firewall blocks Googlebot after 50 requests in 10 seconds, Google will interpret that as a technical limit of the server <\/strong>, even though it's a poorly calibrated security rule.<\/p> Heavy JavaScript sites skew the calculation. Googlebot measures HTML response time, but if client-side rendering is slow, the infrastructure may seem efficient while the actual crawl drags <\/strong>. Google then adjusts the rate upwards, but rendering remains a bottleneck.<\/p> Poorly managed server migrations also cause side effects. If you move from a slow hosting environment to an ultra-fast server without notifying Google via Search Console, it may take weeks for the rate to recover. A manual recrawl request <\/strong> doesn’t always reset this parameter.<\/p>What hidden factors really influence this rate? <\/h3>
In what cases does this rule not apply as expected? <\/h3>
Practical impact and recommendations
How can I check if my crawl rate is limited by my server? <\/h3>
Analyze the raw server logs <\/strong> over a minimum period of 7 days. Count the number of simultaneous connections from Googlebot: if this number consistently caps at a low threshold (fewer than 5-10 simultaneous connections for a site with several thousand pages), it’s suspicious.<\/p> Compare this number to the theoretical capabilities of your infrastructure. If your server can handle 100 simultaneous connections but Googlebot never opens more than 15, either your content is considered low priority <\/strong> or your response times are too slow. Test with a load tool (Apache Bench, LoadImpact) to simulate 50 simultaneous connections and measure degradation.<\/p> Never block Googlebot with aggressive firewall rules that cut off after X requests per second. Google will interpret this as a server limitation <\/strong>, not as protection. Instead, use rate settings in Search Console if you really need to restrict it temporarily.<\/p> Avoid chain redirects and slow pages. An average response time greater than 500 ms on your strategic pages signals to Google that the infrastructure is under stress. Optimize Time to First Byte <\/strong> first: Gzip/Brotli compression, server caching, CDN for static resources.<\/p> Migrate to an infrastructure capable of absorbing load spikes. A cloud server with autoscaling allows Google to progressively increase the rate without causing timeouts. Monitor 5xx errors in Search Console: even a few errors per day can lower the rate.<\/p> Set up real-time performance monitoring <\/strong> of server performance during crawls. If you notice slowdowns when Googlebot comes, increase the RAM or move to more powerful instances. Test infrastructure changes during off-peak times to ensure the server can handle the load before Google increases the rate.<\/p>What mistakes should I avoid to keep this rate from dropping? <\/h3>
What concrete steps should I take to maximize this rate safely? <\/h3>
❓ Frequently Asked Questions
Le taux de crawl est-il le même que le budget de crawl ?
Puis-je forcer Google à augmenter mon taux de crawl ?
Un CDN augmente-t-il le taux de crawl ?
Les erreurs 429 (Too Many Requests) baissent-elles le taux de crawl ?
Combien de temps faut-il pour que Google ajuste le taux après une migration serveur ?
🎥 From the same video 13
Other SEO insights extracted from this same Google Search Central video · duration 161h29 · published on 03/03/2021
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