How to query L
e Parisien
with AgentQL

Looking for a better way to query Le Parisien? Say goodbye to fragile XPath or DOM selectors that easily break with website updates. AI-powered AgentQL ensures consistent data querying across various platforms, from Le Parisien to any other website, regardless of UI changes.

Not just for Le Parisien

Smart selectors work anywhere

https://leparisien.fr

URL

Input any webpage.

{
  article[] {
    headline
    date
    summary
  }
}

Query

Describe data in natural language.

{
  "article": [
    {
      "headline": "France-Angleterre : Mbapp\u00e9-Giroud, la revanche des Bleus",
      "date": "2023-10-13",
      "summary": "Les Bleus se sont impos\u00e9s contre l'Angleterre (2-1) en match amical vendredi soir au stade V\u00e9lodrome."
    },
    {
      "headline": "Gr\u00e8ve des \u00e9boueurs \u00e0 Paris : des montagnes de d\u00e9chets dans les rues",
      "date": "2023-10-12",
      "summary": "La gr\u00e8ve des \u00e9boueurs \u00e0 Paris se poursuit et les d\u00e9chets s'accumulent dans la ville."
    },
    {
      "headline": "Pensions : le gouvernement pr\u00e9sente son projet de r\u00e9forme",
      "date": "2023-10-11",
      "summary": "Le gouvernement a d\u00e9voil\u00e9 son projet de r\u00e9forme des retraites, qui doit \u00eatre examin\u00e9 au Parlement dans les semaines \u00e0 venir."
    }
  ]
}

Returns

Receive accurate output in seconds.

How to use AgentQL on Le Parisien

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1

Install the SDK

Install code for JS and Python

npm install agentql

pip3 install agentql

2

Test and refine

Use the query debugger

3

Run your script

Install code for both JS and Python

agentql init

python example.py

Get started

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