Twitter 取图像&;来自状态/用户\时间线API的推文的外部URL

Twitter 取图像&;来自状态/用户\时间线API的推文的外部URL,twitter,Twitter,我希望提取Tweet中存在的外部URL的值。加上该URL生成的缩略图 示例推文: Twitterstatus/user\u timelineAPI的输出- { "created_at": "Wed Jul 17 15:00:01 +0000 2019", "id": 1151506848387870720, "id_str": "1151506848387870720", "full_text": "عروض #صيف_هواوي على أجهزة التا

我希望提取Tweet中存在的外部URL的值。加上该URL生成的缩略图

示例推文:

Twitter
status/user\u timeline
API的输出-

{
    "created_at": "Wed Jul 17 15:00:01 +0000 2019",
    "id": 1151506848387870720,
    "id_str": "1151506848387870720",
    "full_text": "عروض #صيف_هواوي على أجهزة التابلت والميت بوك المختلفة \nالعرض ساري الى 21 يوليو",
    "truncated": false,
    "display_text_range": [
        0,
        78
    ],
    "entities": {
        "hashtags": [
            {
                "text": "صيف_هواوي",
                "indices": [
                    5,
                    15
                ]
            }
        ],
        "symbols": [],
        "user_mentions": [],
        "urls": []
    },
    "source": "<a href=\"https:\/\/ads-api.twitter.com\" rel=\"nofollow\">Twitter Ads Composer<\/a>",
    "in_reply_to_status_id": null,
    "in_reply_to_status_id_str": null,
    "in_reply_to_user_id": null,
    "in_reply_to_user_id_str": null,
    "in_reply_to_screen_name": null,
    "user": {
        "id": 281376243,
        "id_str": "281376243"
    },
    "geo": null,
    "coordinates": null,
    "place": null,
    "contributors": null,
    "is_quote_status": false,
    "retweet_count": 0,
    "favorite_count": 3,
    "favorited": false,
    "retweeted": false,
    "lang": "ar"
},
为什么反应是随机的?它确实会返回比尔·盖茨推特的URL,但不会返回我问题前面提到的那个

我如何让Twitter同时显示外部URL和缩略图

我的最后一个API调用-


您提供的两个示例中的第一个示例是由Twitter广告平台发布的,因此附带的卡片不是推特的一部分。没有办法通过API获得这些信息。在第二种情况下,URL是Tweet文本的一部分,因此它也是URL实体对象的一部分。

ahh。。有道理。对于第二条推文,有没有办法提取推文生成的缩略图?我知道我可以访问链接并从META中提取twitter:image值,但我不想走这条路。我希望在API中看到一个解决方案。API中不支持这个。
{
    "created_at": "Mon Jul 15 03:18:27 +0000 2019",
    "id": 1150605518291001345,
    "id_str": "1150605518291001345",
    "full_text": "I recently wrote about how people with tech skills can find fascinating problems to work on in global health and development. I was excited to come across this @techreview article about African machine learning researchers who are already doing just that. https:\/\/t.co\/3e1d2QvvH4",
    "truncated": false,
    "display_text_range": [
        0,
        279
    ],
    "entities": {
        "hashtags": [],
        "symbols": [],
        "user_mentions": [
            {
                "screen_name": "techreview",
                "name": "MIT Technology Review",
                "id": 15808647,
                "id_str": "15808647",
                "indices": [
                    160,
                    171
                ]
            }
        ],
        "urls": [
            {
                "url": "https:\/\/t.co\/3e1d2QvvH4",
                "expanded_url": "https:\/\/b-gat.es\/2xMsbdh",
                "display_url": "b-gat.es\/2xMsbdh",
                "indices": [
                    256,
                    279
                ]
            }
        ]
    },
    "source": "<a href=\"https:\/\/www.sprinklr.com\" rel=\"nofollow\">Sprinklr<\/a>",
    "in_reply_to_status_id": null,
    "in_reply_to_status_id_str": null,
    "in_reply_to_user_id": null,
    "in_reply_to_user_id_str": null,
    "in_reply_to_screen_name": null,
    "user": {
        "id": 50393960,
        "id_str": "50393960"
    },
    "geo": null,
    "coordinates": null,
    "place": null,
    "contributors": null,
    "is_quote_status": false,
    "retweet_count": 1320,
    "favorite_count": 6719,
    "favorited": false,
    "retweeted": false,
    "possibly_sensitive": false,
    "lang": "en"
},