AgentQL est un ensemble d'outils pour développeurs qui connecte les LLM et les agents IA au web. Il utilise un langage de requête alimenté par l'IA pour extraire de manière robuste des données structurées et automatiser les interactions web, servant d'alternative puissante et auto-réparatrice aux sélecteurs XPath et CSS fragiles.
CapSolver est un service de résolution automatique de CAPTCHA alimenté par l'IA, conçu pour les développeurs et les professionnels de la RPA. Il fournit une solution de haute précision, rapide et évolutive pour contourner divers types de CAPTCHAs, y compris reCAPTCHA, hCaptcha et FunCaptcha, facilitant ainsi le web scraping, l'extraction de données et l'automatisation des processus en toute fluidité.
Aperçu du produit
AgentQL Aperçu du produit
AgentQL est un ensemble d'outils pour développeurs qui connecte les LLM et les agents IA au web. Il utilise un langage de requête alimenté par l'IA pour extraire de manière robuste des données structurées et automatiser les interactions web, servant d'alternative puissante et auto-réparatrice aux sélecteurs XPath et CSS fragiles.
CapSolver Aperçu du produit
CapSolver est un service de résolution automatique de CAPTCHA alimenté par l'IA, conçu pour les développeurs et les professionnels de la RPA. Il fournit une solution de haute précision, rapide et évolutive pour contourner divers types de CAPTCHAs, y compris reCAPTCHA, hCaptcha et FunCaptcha, facilitant ainsi le web scraping, l'extraction de données et l'automatisation des processus en toute fluidité.
Detailed feature comparison
| Feature | AgentQL | CapSolver |
|---|---|---|
| Catégorie principale | LLM | Extraction de Données |
| Ajouté | 2025-08-02 | 2025-08-11 |
| Tarification | Freemium | Payant |
| Site officiel | www.agentql.com | dashboard.capsolver.com |
| Type de produit | Site web | Site web |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 19.7K | 120.2K |
| Croissance mensuelle | 2.3% | 19.2% |
| Favoris | 102 | 99 |
| Details | Voir les détails | Voir les détails |
AgentQL vs CapSolver monthly traffic
Compare AgentQL and CapSolver by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the AgentQL vs CapSolver monthly traffic comparison, AgentQL currently shows 19.7K visits and CapSolver shows 120.2K; CapSolver has about 6.1 times the visible traffic of AgentQL, an absolute difference of about 100.4K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
AgentQL monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 31K Visites mensuelles
- 2026/1: 23.6K Visites mensuelles
- 2026/2: 19.9K Visites mensuelles
- 2026/3: 24K Visites mensuelles
- 2026/4: 19.3K Visites mensuelles
- 2026/5: 19.7K Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 49.81% | 9.8K |
| 🇮🇳India | 20.61% | 4.1K |
| 🇬🇧United Kingdom | 17.65% | 3.5K |
| 🇩🇪Germany | 6.43% | 1.3K |
| 🇻🇳Vietnam | 5.5% | 1.1K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 81.96% | 16.2K |
| Référence | 18.04% | 3.6K |
Mots-clés
CapSolver monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 56.5K Visites mensuelles
- 2026/1: 98K Visites mensuelles
- 2026/2: 78.6K Visites mensuelles
- 2026/3: 88.6K Visites mensuelles
- 2026/4: 100.9K Visites mensuelles
- 2026/5: 120.2K Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 44.5% | 53.5K |
| 🇧🇷Brazil | 26.22% | 31.5K |
| 🇨🇳China | 11.01% | 13.2K |
| 🇮🇩Indonesia | 9.39% | 11.3K |
| 🇪🇸Spain | 8.88% | 10.7K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 85.04% | 102.2K |
| Référence | 14.3% | 17.2K |
| 0.66% | 793 |
Mots-clés
Usage comparison
Compare the core capabilities of AgentQL and CapSolver
AgentQL Core features
CapSolver Core features
Use cases
AgentQL Use cases
CapSolver Use cases
AgentQL vs CapSolver:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth AgentQL vs CapSolver comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. AgentQL is primarily listed under “LLM”, while CapSolver is primarily listed under “Extraction de Données”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (AgentQL: LLM; CapSolver: Extraction de Données); Pricing (AgentQL: Freemium; CapSolver: Paid); Monthly visits (AgentQL: 19.7K; CapSolver: 120.2K); Monthly growth (AgentQL: 2.3%; CapSolver: 19.2%); Favorites (AgentQL: 102; CapSolver: 99). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the AgentQL vs CapSolver monthly traffic comparison, AgentQL currently shows 19.7K visits and CapSolver shows 120.2K; CapSolver has about 6.1 times the visible traffic of AgentQL, an absolute difference of about 100.4K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate CapSolver first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
AgentQL and CapSolver currently overlap in shared categories: Extraction de Données, Web scraping et Automatisation; shared tags: API, automatisation, Extraction de données, outil de développement et Web scraping. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
AgentQL's unique categories/tags are LLM, Agent IA, LangChain, Grand modèle linguistique, Analyse de PDF, Playwright et données structurées; CapSolver's are anti-bot, solveur de captcha, FunCaptcha, GeeTest, hCaptcha, reCAPTCHA et RPA. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
AgentQL has no verified rating, 0 comments, 102 favorites, and 118 likes;CapSolver has no verified rating, 0 comments, 99 favorites, and 106 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate AgentQL first
Put AgentQL on the priority trial list when the task aligns with “LLM” and especially LLM, Agent IA, LangChain, Grand modèle linguistique, Analyse de PDF et Playwright. This follows recorded positioning and does not imply unlisted capabilities are absent.
AgentQL also currently records: pricing is freemium, product type is website, 19.7K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate CapSolver first
Put CapSolver on the priority trial list when the task aligns with “Extraction de Données” and especially anti-bot, solveur de captcha, FunCaptcha, GeeTest, hCaptcha et reCAPTCHA. This follows recorded positioning and does not imply unlisted capabilities are absent.
CapSolver also currently records: pricing is paid, product type is website, 120.2K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in AgentQL and CapSolver, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
FAQ comparative
How should I choose between AgentQL and CapSolver?
Where does this comparison data come from?
What do unknown fields mean?
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