Overview
JavaScript is Angola's most common secondary barrier
| Value | |
|---|---|
| WAF | 91.4% |
| Antibot | 19.3% |
| CAPTCHA | 21.8% |
| JavaScript | 39.8% |
| Rate Limiting | 12.3% |
| TLS | 17.7% |
WAF is deployed by 91.4% of Angola's 1,052 surveyed domains. Among the five secondary barriers, JavaScript rendering is the most common at 39.8%, followed by CAPTCHA at 21.8% and Antibot at 19.3%.
Barrier Landscape
JavaScript tops Angola's active secondary defences
| Value | |
|---|---|
| WAF | 91.4% |
| Antibot | 19.3% |
| CAPTCHA | 21.8% |
| JavaScript | 39.8% |
| Rate Limiting | 12.3% |
| TLS | 17.7% |
| Has robots.txt | 78.6% |
| Blocks AI crawlers | 13.3% |
WAF covers 91.4% of domains. Rate Limiting, at 12.3%, is the least-deployed of the five secondary barriers — less than a third of JavaScript's 39.8% adoption rate.
Most Angola sites carry at least two barriers
| % of sites | |
|---|---|
| 0 barriers | 5.8% |
| 1 barrier | 30.2% |
| 2 barriers | 35.8% |
| 3 barriers | 16.7% |
| 4 barriers | 7.2% |
| 5 barriers | 3.8% |
| 6 barriers | 0.4% |
5.8% of Angola sites carry no barriers at all. The most common configuration is exactly two barriers, found on 35.8% of domains. Nearly three in ten sites (28.1%) deploy three or more barriers in combination.
Angola's sites are predominantly Simple to access
| Mean recommended tier | |
|---|---|
| All sites | 1.6 |
The median recommended Zyte API tier is 1 (Simple), meaning over half of Angola's domains return usable data with basic HTTP requests. The mean of 1.62 reflects a skew from a minority of harder-to-reach sites.
Nine in ten Angola sites are Simple or Easy to access
| % of sites | |
|---|---|
| 1 - Simple | 52.7% |
| 2 - Easy | 36% |
| 3 - Moderate | 8.6% |
| 4 - Complex | 2% |
| 5 - Advanced | 0.8% |
Tier 1 (simple HTTP) covers 52.7% of domains; Tier 2 adds another 36.0%, making Tiers 1–2 combined 88.7%. Tier 3 accounts for 8.6%. The most demanding tiers — 4 and 5 — together cover just 2.8% of domains.
robots.txt
AI crawlers top Angola's robots.txt bot categories
| % of sites | |
|---|---|
| AI crawlers | 14.7% |
| SEO / search indexing | 12.4% |
| SEO audit tools | 12.5% |
| Commercial scrapers | 7% |
| Social / content scrapers | 7% |
| Archive / research crawlers | 5% |
| Monitoring / uptime bots | 0.6% |
Of Angola's 1,052 domains, 14.7% name at least one AI crawler in a robots.txt rule — the highest category share. SEO audit tools (12.5%) and SEO/search indexing bots (12.4%) follow closely. Monitoring bots appear on just 0.6% of domains.
More than a fifth of Angola's sites publish no robots.txt
| % of sites | |
|---|---|
| Uniform per-agent rules (no path mixing) | 39.6% |
| Path-level mixed rules for same agent | 33.3% |
| Allow-only (no disallow rules) | 2.5% |
| Mixed AI posture (block some, allow others) | 3% |
| Blanket Disallow: / | 2.9% |
78.6% of the 1,052 surveyed domains publish a robots.txt file. Among those, uniform per-agent rules are the dominant posture at 39.6% of all domains, while path-level mixed rules cover 33.3%. Just 2.9% enforce a blanket Disallow: /.
GPTBot faces the most Disallow rules in Angola's robots.txt
| Disallowed | Allowed (whitelisted) | |
|---|---|---|
| GPTBot | 11% | 2.3% |
| CCBot | 7.7% | 0.8% |
| ClaudeBot | 7.5% | 1.1% |
| Google-Extended | 8.4% | 1.3% |
| Bytespider | 6.2% | 0.4% |
| meta-externalagent | 2.9% | 0.4% |
| ChatGPT-User | 6.1% | 2.9% |
| PerplexityBot | 5.6% | 2.3% |
| Applebot-Extended | 4.1% | 0.2% |
| OAI-SearchBot | 4.1% | 2.3% |
| anthropic-ai | 4.3% | 1% |
11.0% of all Angola domains name GPTBot in a Disallow rule — the highest Disallow rate of any agent. Google-Extended follows at 8.4% and CCBot at 7.7%. On the Allow side, ChatGPT-User leads at 2.9%.
Every site in Angola's seven sectors names at least one bot
| % of sites | |
|---|---|
| Automotive | 100% |
| Design | 100% |
| Entertainment | 100% |
| Food & Beverages | 100% |
| Medical Devices | 100% |
| Newspapers | 100% |
| Retail | 100% |
| Adult | 90% |
| Agriculture | 90% |
| Apparel & Fashion | 90% |
| Computer & Video Games | 90% |
| Foreign Language | 90% |
| General | 90% |
| Machinery | 90% |
| Mass Media | 90% |
Automotive, Design, Entertainment, Food & Beverages, Medical Devices, Newspapers, and Retail all reach 100% — every sampled domain in each sector names at least one bot in a Disallow rule in its robots.txt.
Angola's automotive sites lead in explicitly allowing crawlers
| % of sites | |
|---|---|
| Automotive | 90% |
| Airlines | 80% |
| Veterinary | 80% |
| Architecture | 70% |
| Food & Beverages | 70% |
| Investment | 70% |
| Photography | 70% |
| Publishing | 70% |
| Real Estate | 70% |
| Restaurants | 70% |
| Retail | 70% |
| Science | 70% |
| Travel & Tourism | 70% |
| Public Relations | 66.7% |
| Customer Services | 60% |
Automotive sites top the Allow list at 90% — the same sector that leads the Disallow chart at 100%. Airlines and Veterinary follow at 80% each. Thirteen of the top 15 sectors show explicit bot Allow rules on 60% or more of their domains.
Industry Patterns
Jewellery & Luxury and Computer Hardware are Angola's hardest sectors to access
| WAF | Antibot | CAPTCHA | JavaScript | Rate Limit | TLS | robots.txt | Blocks AI | Tier | |
|---|---|---|---|---|---|---|---|---|---|
| Jewellery & Luxury | 100% | 20% | 10% | 20% | 50% | 50% | 60% | 0% | Tier 3 |
| Computer Hardware | 90% | 30% | 10% | 30% | 40% | 20% | 80% | 10% | Tier 3 |
| Hospitality | 90% | 30% | 0% | 50% | 20% | 50% | 70% | 30% | Tier 3 |
| Real Estate | 100% | 20% | 10% | 60% | 30% | 10% | 70% | 40% | Tier 2 |
| Retail | 100% | 10% | 0% | 70% | 10% | 10% | 100% | 50% | Tier 2 |
| Beauty & Cosmetics | 80% | 30% | 20% | 60% | 50% | 30% | 70% | 20% | Tier 2 |
| Consumer Electronics | 80% | 20% | 10% | 40% | 30% | 30% | 70% | 10% | Tier 2 |
| Human Resources | 100% | 60% | 60% | 40% | 50% | 30% | 70% | 10% | Tier 2 |
| Oil & Gas | 80% | 10% | 0% | 50% | 0% | 10% | 70% | 10% | Tier 2 |
| Apparel & Fashion | 90% | 10% | 30% | 60% | 30% | 40% | 90% | 10% | Tier 2 |
| Automotive | 90% | 0% | 0% | 50% | 30% | 40% | 100% | 40% | Tier 2 |
| Mail & Delivery | 80% | 40% | 10% | 30% | 0% | 10% | 90% | 0% | Tier 2 |
| Maritime | 70% | 10% | 0% | 30% | 10% | 30% | 70% | 10% | Tier 2 |
| Pharmaceuticals | 80% | 0% | 0% | 20% | 10% | 20% | 70% | 0% | Tier 2 |
| Banking | 100% | 20% | 10% | 30% | 10% | 10% | 70% | 0% | Tier 2 |
Jewellery & Luxury sites require a mean Zyte API tier of 3.00 — the only sector in Angola's top 15 with a mean at Moderate. Computer Hardware (2.60) follows. Hospitality, Real Estate, and Retail all share a mean Easy-to-Moderate tier of 2.50.
Import & Export is Angola's most accessible sector to scrape
| WAF | Antibot | CAPTCHA | JavaScript | Rate Limit | TLS | robots.txt | Blocks AI | Tier | |
|---|---|---|---|---|---|---|---|---|---|
| Design | 100% | 20% | 30% | 40% | 20% | 30% | 100% | 30% | Tier 2 |
| Machinery | 80% | 10% | 10% | 40% | 10% | 20% | 90% | 0% | Tier 2 |
| Medical Devices | 80% | 20% | 10% | 30% | 20% | 30% | 100% | 10% | Tier 2 |
| Recruitment & Staffing | 100% | 30% | 60% | 20% | 0% | 20% | 80% | 20% | Tier 2 |
| Reference | 80% | 60% | 20% | 20% | 10% | 20% | 60% | 20% | Tier 2 |
| Sporting Goods | 90% | 20% | 50% | 20% | 30% | 20% | 90% | 10% | Tier 2 |
| Sports | 100% | 10% | 20% | 50% | 10% | 10% | 90% | 60% | Tier 2 |
| Food & Beverages | 100% | 40% | 30% | 50% | 20% | 20% | 100% | 20% | Tier 2 |
| Equipment & Supplies | 90% | 20% | 0% | 20% | 20% | 10% | 60% | 10% | Tier 2 |
| Finance | 80% | 20% | 0% | 20% | 10% | 10% | 60% | 20% | Tier 2 |
| Restaurants | 90% | 20% | 10% | 40% | 30% | 30% | 90% | 10% | Tier 2 |
| Transport & Logistics | 80% | 50% | 10% | 20% | 0% | 20% | 90% | 0% | Tier 2 |
| Wholesalers | 80% | 0% | 10% | 30% | 10% | 30% | 80% | 10% | Tier 2 |
| Advertising & Mktg | 100% | 20% | 40% | 50% | 0% | 30% | 90% | 10% | Tier 2 |
| Import & Export | 100% | 30% | 40% | 40% | 0% | 30% | 80% | 10% | Tier 2 |
Advertising & Marketing and Import & Export share the lowest mean Zyte tier in this group at 1.80. Most sectors here cluster between tier_mean 1.80 and 2.00, indicating broad Tier 1–2 accessibility across Angola's more common industry segments.