Get AI-Ready Data with Our Video Scraper API

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          import requests
        

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          import json
        

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          def main():
        

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            client = requests.Session()
        

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            target_url = "https://scraperapi.thordata.com/video_builder"
        

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            spider_parameters = [
        

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              {
        

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                "url": "https://www.youtube.com/watch?v=PP935RI48v0"
        

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              }
        

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            ]
        

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            spider_parameters_json = json.dumps(spider_parameters)
        

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            spider_universal = {
        

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              "resolution": "360p",
        

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              "is_subtitles": "true",
        

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              "subtitles_language": ""
        

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            }
        

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            spider_universal_json = json.dumps(spider_universal)
        

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            form_data = {
        

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              "spider_name": "youtube.com",
        

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              "spider_id": "youtube_video_by-url",
        

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              "spider_parameters": spider_parameters_json,
        

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              "spider_universal": spider_universal_json,
        

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              "spider_errors": "true",
        

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              "file_name": "{{TasksID}}"
        

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            }
        

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            headers = {
        

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              "Authorization": "Bearer Token-ID",
        

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              "Content-Type": "application/x-www-form-urlencoded"
        

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            }
        

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            try:
        

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              resp = client.post(target_url, data=form_data, headers=headers)
        

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              resp.raise_for_status()  # Raises an HTTPError for bad responses
        

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              print(f"Status Code: {resp.status_code}")
        

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              print(f"Response Body: {resp.text}")
        

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            except requests.exceptions.RequestException as e:
        

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              print(f"Error sending request: {e}")
        

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          if __name__ == "__main__":
        

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            main()
        

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