What is Factset_spyderbot?
Direct Answer: Factset Spyderbot is a web scraping bot operated by Factset for delivering reliable financial data.
Factset uses a Python Selenium Crawler for web scraping to deliver reliable, current financial data. The bot is identified by the user-agent string 'Mozilla/5.0 (windows NT 10.0; Win64; x64) AppleWebkit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.72 Safari/537.36 factset_spyderbot'.
User-Agent Identification
The following user-agent strings identify Factset_spyderbot in your live traffic data:
Mozilla/5.0(windows NT 10.0; Win64; x64) AppleWebkit/537.36(KHTML, like Gecko) Chrome/90.0.4430.72 Safari/537.36 factset_spyderbot
robots.txt Rules for Factset_spyderbot
Respects robots.txt: No
This bot does not commit to following robots.txt
Factset_spyderbot does not officially follow robots.txt directives. The only reliable way to control access is through server-side blocking (IP filtering, user-agent rules in your web server config) combined with log monitoring to verify effectiveness.
Need continuous verification across 500+ bots? Can AI See It automates this.
Crawl Behavior
Frequency:Not Documented
Request Pattern:Not Documented
JavaScript Rendering:Yes — this bot can execute JavaScript and render pages.
Crawl Activity Index
Relative crawl activity for Factset_spyderbot over the past 28 days. Higher values indicate increased crawling intensity compared to the period baseline.
View recent activity data (last 7 days)
| Date | Activity Index |
|---|---|
| Mar 26, 2026 | 88.0 |
| Mar 27, 2026 | 82.7 |
| Mar 28, 2026 | 83.1 |
| Mar 29, 2026 | 81.8 |
| Mar 30, 2026 | 87.3 |
| Mar 31, 2026 | 90.2 |
| Apr 1, 2026 | 88.8 |
Source: Cloudflare Radar
Why track Factset_spyderbot traffic?
Measure what Factset gives back. Factset_spyderbot takes your content for AI training — but does Factset send any traffic in return through other products? Track whether the trade-off is worth it before deciding to block.
Understand what content is being collected for AI training. Factset_spyderbot crawls your site to gather data that may train AI models. Tracking its activity reveals which pages are selected — and which are skipped.
Make an informed block-or-allow decision. Blocking Factset_spyderbot prevents your content from being used in future model training. But first, measure the volume: how many pages does it fetch, how often, and does Factset send any referral traffic through other products?
Detect content harvesting patterns. If Factset_spyderbot is systematically crawling your highest-value content (product pages, proprietary research, premium articles), you may want to restrict access using robots.txt or server-side rules.
What does Factset_spyderbot crawling actually cost you?
AI training bots like Factset_spyderbot collect your content to improve future AI models. Unlike AI search bots, there's no direct referral pipeline — Factset_spyderbot doesn't cite sources or send traffic back to your site.
What you give
- Server resources for every crawl request
- Your content, expertise, and original research
- Data that improves a competing AI product
What you get back
- No direct referral traffic from Factset_spyderbot
- No attribution in AI model outputs
- No revenue share from model usage
This doesn't automatically mean you should block Factset_spyderbot. But you need to measure the real cost before deciding. Factset may send traffic through other products (Factset's AI products) — blocking the training bot might not affect referrals at all, or it might. Only log data tells you.
What Can AI See It measures for AI training bots
How many pages Factset_spyderbot fetches from your site
Which pages and sections Factset_spyderbot prioritizes
Do Factset's OTHER products send you traffic?
Does Factset_spyderbot actually respect your robots.txt?
How is this different from prompt testing tools? Prompt testing checks if AI mentions your brand in simulated queries. Can AI See It measures what actually happens: real crawls, real referrals, real conversions — from your live traffic data.
Read: Why live traffic monitoring beats prompt testing →Log Verification
To verify Factset_spyderbot traffic in your live traffic data:
- Search access logs for the user-agent strings listed above
- Check if the IP addresses match documented ranges (if provided by Factset)
- Verify the crawl pattern matches documented behavior
- Use reverse DNS lookup for additional verification if available
Note: Observed behavior in production environments may differ from official documentation. Live traffic monitoring provides the only reliable verification of actual bot behavior.
Undocumented Information
The following information is not officially documented for Factset_spyderbot:
- crawl frequency
- request pattern
- IP verification
- JavaScript rendering note
Measure your Crawl-to-Referral Ratio for Factset_spyderbot
See how much traffic Factset actually sends back to your site relative to how much content Factset_spyderbot takes.
- Connect Factset_spyderbot crawls in your logs with referral sessions in analytics
- Calculate your CRR — the metric prompt testing tools can't provide
- Make data-driven block/allow decisions for every AI bot
Measure business impact from Factset_spyderbot
The question isn't just whether to block Factset_spyderbot — it's what you lose or gain from its crawling activity.
- Crawl volume: how many pages Factset_spyderbot collects from your site
- Content value: which content categories are targeted most
- Cross-platform CRR: does Factset send traffic through other products?
- Referral tracking: Factset_spyderbot takes — measure what Factset gives back. Track actual visits arriving from Factset's products to your site.
Based on your live traffic data and analytics — not synthetic prompt tests.
Official Documentation
View Official Factset_spyderbot Documentation →
Information sourced from official documentation. Content generated with AI assistance.