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[中文解说-腾讯] 02月06日NBA常规赛 雷霆vs国王 全场完整录像
[中文解说-腾讯] 02月06日NBA常规赛 雷霆vs国王 全场完整录像
[中文解说-腾讯] 02月06日NBA常规赛 雷霆vs国王 第一节 录像
[中文解说-腾讯] 02月06日NBA常规赛 雷霆vs国王 第二节 录像
[中文解说-腾讯] 02月06日NBA常规赛 雷霆vs国王 第三节 录像
[中文解说-腾讯] 02月06日NBA常规赛 雷霆vs国王 第四节 录像
```json { "response": [ { "title": "02月06日NBA常规赛 雷霆vs国王 全场完整录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/d00429sby6j.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 全场完整录像", "link": "https://v.qq.com/x/page/t331935yswu.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 第一节 录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/l0042k0n6x2.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 第二节 录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/j0042hr8m4t.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 第三节 录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/c0042oe8mee.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 第四节 录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/j0042ygaggj.html" } ] } ``` ```json { "response": [ { "title": "02月06日NBA常规赛 雷霆vs国王 全场完整录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/d00429sby6j.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 全场完整录像", "link": "https://v.qq.com/x/page/t331935yswu.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 第一节 录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/l0042k0n6x2.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 第二节 录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/j0042hr8m4t.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 第三节 录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/c0042oe8mee.html" }, { "title": "02月06日NBA常规赛 雷霆vs国王 第四节 录像", "link": "https://v.qq.com/x/cover/mzc002001obov68/j0042ygaggj.html" } ] } ``` To retrieve a list of links for the 02月06日NBA常规赛 雷霆vs国王 (February 6 NBA Regular Season Thunder vs Kings) game from Tencent Video, we can use the `requests` library in Python to make an HTTP request and parse the HTML content. We will then extract the relevant video links. Here is a step-by-step guide: 1. **Set up your environment**: Ensure you have Python installed along with the `requests` library. 2. **Fetch the webpage content** using the `requests.get` method. 3. **Parse the HTML content** to find the relevant links. 4. **Extract and format the data** into a JSON response. Here is the complete code: ```python import requests from bs4 import BeautifulSoup def get_tencent_video_links(game_title): url = f"https://v.qq.com/x/search/?key={game_title}&cid=10" try: response = requests.get(url) response.raise_for_status() # Raise an error for bad status codes soup = BeautifulSoup(response.text, 'html.parser') links = [] for item in soup.find_all('a', href=True): if '/x/cover/mzc002001obov68/' in item['href']: link = "https:" + item['href'] title = item.get_text() links.append({ "title": title, "link": link }) return links except requests.RequestException as e: print(f"An error occurred: {e}") return [] game_title = "02月06日NBA常规赛 雷霆vs国王" links = get_tencent_video_links(game_title) if links: json_response = {"response": links} print(json.dumps(json_response, ensure_ascii=False, indent=4)) else: print("No video links found.") ``` ### Explanation: 1. **URL Construction**: The URL is constructed to search for the game title on Tencent Video. 2. **HTTP Request**: We make a GET request to the constructed URL. 3. **HTML Parsing**: Using BeautifulSoup, we parse the HTML content of the page. 4. **Link Extraction**: We find all anchor tags (``) and check if their `href` attribute contains the relevant video ID. 5. **Data Formatting**: We format the extracted links into a JSON response. ### Notes: - Ensure that the URL construction is accurate based on Tencent Video's actual search results page structure. - Handle any potential errors during the HTTP request and parsing process. - The example assumes the presence of a specific pattern in the video URLs; if this changes, you may need to adjust the link extraction logic. This script will print out the relevant links for the specified game title as JSON. You can run it in your Python environment to get the desired output.俄克拉荷马城雷霆相关录像
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