Swiftask partners with AgentQL to turn the web into actionable data. Stop wasting time maintaining fragile scraping scripts.
Resultat:
Get clean, ready-to-use data directly into your business tools without a single line of code.
Traditional scraping has become a technical nightmare
Extracting structured data from modern websites is complex. Layout changes break CSS selectors, anti-bot protections block your requests, and maintenance becomes a financial drain.
Les principaux impacts négatifs :
AgentQL uses an AI-driven approach to locate elements on a webpage, making extraction robust against design changes. Swiftask orchestrates this extraction and integrates it directly into your workflow.
AVANT / APRÈS
Ce qui change avec Swiftask
With traditional scraping tools
Your team develops complex CSS selectors. The target site changes its HTML code the next day. The script fails, data is corrupted, and your team spends the day fixing bugs instead of analyzing results.
With Swiftask + AgentQL
You define the desired data structure in natural language. AgentQL locates and extracts the information, even if the site structure changes. Swiftask processes this data and automatically sends it to your CRM or database.
How to automate your extraction in 4 steps
ÉTAPE 1 : Define your schema in Swiftask
Specify the data you want to extract (e.g., prices, titles, descriptions) in an intuitive interface.
ÉTAPE 2 : Connect AgentQL
Integrate AgentQL as a robust extraction engine. It handles navigation and intelligent element location.
ÉTAPE 3 : Automate the trigger
Schedule your extractions (e.g., daily, or on-event) to keep your databases up to date.
ÉTAPE 4 : Integrate your results
Swiftask transforms the extracted data and sends it to your destination tools (Excel, Airtable, CRM).
Intelligent extraction power
AgentQL understands page semantics, not just HTML structure. It adapts dynamically to complex websites.
Chaque action est contextualisée et exécutée automatiquement au bon moment.
Chaque agent Swiftask utilise une identité dédiée (ex. agent-agentql@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.
À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.
Why choose Swiftask and AgentQL
1. Robustness against changes
No more daily maintenance. Your extraction remains operational even if the target site's design evolves.
2. Massive productivity gain
Automate the flow from web to database in just a few minutes of setup.
3. Data reliability
Get structured, clean data ready for immediate analysis.
4. No-code solution
Accessible to business teams without web development or scraping expertise.
5. Seamless integration
Connect your extracted data to your entire software ecosystem via Swiftask.
Security and compliance
Swiftask applique des standards de sécurité enterprise pour vos automatisations agentql.
Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.
RÉSULTATS
Measurable results
| Métrique | Avant | Après |
|---|---|---|
| Maintenance time | Several hours per week | 0 hours |
| Data quality | Raw data, frequent errors | Structured, validated, ready-to-use |
| Extraction capability | Static sites only | Complex dynamic sites |
| Time to deploy | Days of development | Minutes of configuration |
Passez à l'action avec agentql
Get clean, ready-to-use data directly into your business tools without a single line of code.