File size: 16,595 Bytes
e3bbf73
673e694
de04e67
673e694
 
 
ee2ef41
13e03cb
ab28310
c9775c6
 
1fe8b82
559f4a6
 
346a29c
df94e38
 
c347662
559f4a6
1fe8b82
 
559f4a6
 
 
 
 
 
 
 
3ef97e3
ccd1a73
c9775c6
 
 
 
 
 
 
7a4ba1a
c9775c6
 
 
1ecee5c
8951fb1
ae0b5d8
 
43bcca3
1ecee5c
2e4e6d4
 
 
 
 
 
 
5f5602d
2e4e6d4
5f5602d
 
2e4e6d4
 
 
 
 
 
 
 
432378a
 
 
 
 
 
 
 
7d68b57
5f5602d
 
67359d5
5f5602d
67359d5
5f5602d
7d68b57
1b686c4
1ecee5c
2e4e6d4
 
538543b
 
5f5602d
538543b
 
2e4e6d4
 
 
 
 
 
1ecee5c
 
2e4e6d4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ab28310
 
f20de99
 
 
d76a753
f20de99
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
371382c
f20de99
 
 
 
c347662
 
 
 
 
 
 
 
 
 
 
 
 
3ff42f0
 
 
c347662
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f20de99
3d17e73
ae0b5d8
 
f48a877
 
 
ab28310
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5ea408d
7f4d638
ab28310
 
 
 
 
 
 
 
 
 
3d17e73
 
 
 
 
 
ac26503
 
74bdd56
ac26503
afade17
 
c494fec
afade17
c494fec
3d17e73
 
caff860
 
ab28310
 
 
 
7f4d638
 
 
ab28310
 
 
 
 
3d17e73
 
ab28310
1ecee5c
673e694
346a29c
5d14fc1
6acd1bf
 
7effc07
51cbaf5
533417a
a270de9
346a29c
 
 
 
 
 
 
 
 
 
 
 
633923e
346a29c
 
 
5d14fc1
47bf472
ae39fb8
 
5d14fc1
 
ae39fb8
5d14fc1
 
 
47bf472
5d14fc1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1ecee5c
8951fb1
ae0b5d8
 
 
 
f48a877
 
ae0b5d8
ceb1554
 
ae0b5d8
385e9be
 
cce7a99
385e9be
cce7a99
 
 
 
b42350d
cce7a99
385e9be
cce7a99
 
 
 
 
 
385e9be
cce7a99
 
 
 
385e9be
cce7a99
673e694
cce7a99
673e694
cce7a99
d4da168
cce7a99
673e694
cce7a99
673e694
 
cce7a99
 
 
4f2d693
673e694
cce7a99
 
 
 
 
 
 
 
 
 
3ef97e3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
from typing import Annotated, Optional

from fastapi import FastAPI, Header, Query

import html2text 
import requests
import httpx
import re
import json
import newspaper


from fastapi.middleware.cors import CORSMiddleware

from bs4 import BeautifulSoup
import googleapiclient
import googleapiclient.discovery
from datetime import datetime

app = FastAPI()

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"], 
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


@app.get("/news_details")
def news_details(url: str):
    article = newspaper.Article(url)
    article.download()
    article.parse()
    return {
        "title": article.title,
        "description": article.text,
        "author": article.authors,
        "date": article.publish_date,
    }

@app.get("/linkedin_post_details")
async def linkedin_post_details(post_id: Optional[str] = None, url: Optional[str] = None):
    if not url:
        url = "https://www.linkedin.com/posts/"+post_id
    res = requests.get(url, headers={"user-agent":"Googlebot", "accept-language": "en-US"})
    
    soup = BeautifulSoup(res.content, "html.parser")

    script_tags = soup.find_all("script")

    for script_tag in script_tags:
        try:
            script_tag = json.loads(script_tag.string)
            if script_tag.get("datePublished"):
                desc = script_tag.get("articleBody")
                if not desc:
                    desc = script_tag.get("description")
                author = script_tag.get("author")
                full_name = author.get("name")
                username = author.get("url").rsplit("/", 1)[-1]
                user_type = author.get("@type").lower()
                date = script_tag.get("datePublished")
        except Exception as e:
            continue

    
    spans = soup.find_all(
        "span", {"data-test-id": "social-actions__reaction-count"}
    )
    
    if spans:
        reactions = spans[0].text.strip()
    else:
        reactions = '0'
    
    try:
        comments = str(soup.find("a", {"data-test-id": "social-actions__comments"}).get(
            "data-num-comments"
        ))
    except:
        comments = '0'

    return {
        "insights": {
            "likeCount": None,
            # "commentCount": int(comments.replace(",", "")),
            "commentCount": comments,
            "shareCount": None,
            # "reactionCount": int(reactions.replace(",", "")),
            "reactionCount":reactions,
            "reactions": [],
        },
        "description": desc,
        "username": username,
        "name": full_name,
        "userType": user_type,
        "date": date,
    }
# async def linkedin_post_details(post_id: str):
    # url = "https://www.linkedin.com/posts/"+post_id
    # res = requests.get(url, headers={"user-agent":"Googlebot", "accept-language": "en-US"})
    
    # text_maker = html2text.HTML2Text()
    # text_maker.ignore_links = True
    # text_maker.ignore_images = True
    # text_maker.bypass_tables = False

    # docs = text_maker.handle(res.content.decode("utf-8"))

    # chunks = docs.split("\n\n#")
    # linkedin_content = chunks[1]
    # user = linkedin_content.split("\n\n", 5)
    # full_name = user[1]
    # bio = user[2]
    # try:
    #     date, edited = user[3].split("  ")
    #     edited = True
    # except:
    #     date = user[3].strip()
    #     edited = False
    # content = "\n\n".join(user[5:])
    
    # insights = chunks[3].split("\n\n")[2]
    # likes = insights.split(" ", 1)[0].strip()
    # comments = insights.rsplit(" ", 2)[1].strip()

    # username = url.rsplit("/",1)[-1].split("_")[0]
    
    # return {
    #     "userDetails": {"full_name": full_name, "username":username,"bio": bio},
    #     "content": content,
    #     "date": date,
    #     "is_edited": edited,
    #     "insights": {"likeCount": likes, "commentCount": comments, "shareCount": None, "viewCount":None},
    #     "username":username
    # }


@app.get("/instagram_post_details")
async def ig_post_detail(post_id: Optional[str] = None, url: Optional[str] = None):
    if not url:
        url = f"https://www.instagram.com/p/{post_id}"

    res = requests.get(
        url,
        headers={
            "user-agent": "Googlebot",
            "accept-language": "en-US"
        },
        timeout=(10, 27),
    )
        
    soup = BeautifulSoup(res.content, "html.parser")
    
    meta = soup.find("meta", {"name": "description"})
    content = meta.get("content")
    like_split = content.split(" likes, ")
    likes = like_split[0]
    comment_split = like_split[1].split(" comments - ")
    comments = comment_split[0]
    author_split = comment_split[1].split(": "")
    author_date = author_split[0].split(" on ")
    username = author_date[0]
    date = author_date[1].split(":")[0]

    name_desc = (
        soup.find("meta", {"property": "og:title"})
        .get("content")
        .split(" on Instagram: ", 1)
    )
    full_name = name_desc[0]
    desc = name_desc[-1]

    return {
        "insights": {
            "likeCount": likes,
            "commentCount": comments,
            "shareCount": None,
        },
        "description": desc,
        "username": username,
        "name": full_name,
        "date": date,
    }



@app.get("/instagram_post_details_api")
async def ig_post_detail_api(post_id: Optional[str] = None, url: Optional[str] = None):
    if not post_id:
        # url = f"https://www.instagram.com/p/{post_id}"
        post_id = url.split("/")[-1]

    query_hash = "2b0673e0dc4580674a88d426fe00ea90"
    variables = {
        "shortcode": post_id
    }
    variables_json = json.dumps(variables, separators=(',', ':'))
    url = f"https://www.instagram.com/graphql/query/?query_hash={query_hash}&variables={variables_json}"
    res = requests.get(url, headers={"user-agent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Googlebot/2.1; +http://www.google.com/bot.html) Chrome/W.X.Y.Z Safari/537.36"}).json()
    print(res)
    res = res["data"]["shortcut_media"]
    

    if res.get("edge_media_preview_like"):
        likes = res.get("edge_media_preview_like").get("count", 0)
    else:
        likes = 0

    if res.get("edge_media_to_comment"):
        comments = res.get("edge_media_to_comment").get("count", 0)
    else:
        comments = 0

    if res.get("edge_media_to_caption"):
        desc = ""
        for x in res.get("edge_media_to_caption"):
            if x.get("node"):
                desc += x.get("node").get("text", "") + "\n\n"
        desc = desc[:-4]

    username = res["owner"].get("username")
    full_name = res["owner"].get("full_name")
    date = str(datetime.fromtimestamp(int(res.get("taken_at_timestamp"))))
    
    # res = requests.get(
    #     url,
    #     headers={
    #         "user-agent": "Googlebot",
    #         "accept-language": "en-US"
    #     },
    #     timeout=(10, 27),
    # )
        
    # soup = BeautifulSoup(res.content, "html.parser")
    
    # meta = soup.find("meta", {"name": "description"})
    # content = meta.get("content")
    # like_split = content.split(" likes, ")
    # likes = like_split[0]
    # comment_split = like_split[1].split(" comments - ")
    # comments = comment_split[0]
    # author_split = comment_split[1].split(": "")
    # author_date = author_split[0].split(" on ")
    # username = author_date[0]
    # date = author_date[1].split(":")[0]

    # name_desc = (
    #     soup.find("meta", {"property": "og:title"})
    #     .get("content")
    #     .split(" on Instagram: ", 1)
    # )
    # full_name = name_desc[0]
    # desc = name_desc[-1]

    return {
        "insights": {
            "likeCount": likes,
            "commentCount": comments,
            "shareCount": None,
        },
        "description": desc,
        "username": username,
        "name": full_name,
        "date": date,
    }
    

@app.get("/facebook_post_details")
async def fb_post_detail(username: Optional[str] = None, post_id: Optional[str] = None, url: Optional[str] = None, api_access_key: Optional[str] = None):
    if not url:
        url = f"https://www.facebook.com/{username}/posts/{post_id}"
    else:
        username = url.split("//www.facebook.com/",1)[-1].split("/",1)[0]
        
    user_agent = "Googlebot"

    res = requests.get(
        url,
        headers={
            "user-agent": user_agent,
            "accept-language": "en-US"
        },
        timeout=(10, 27),
    )
    
    soup = BeautifulSoup(res.content, "html.parser")

    script_tags = soup.find_all("script") 
    print(len(script_tags))
    for script_tag in script_tags:
        try:
            if "important_reactors" in script_tag.string:
                splitter = '"reaction_count":{"count":'
                total_react, reaction_split = script_tag.string.split(splitter, 2)[1].split("},", 1)
                total_react = total_react.split(',"')[0]
                pattern = r"\[.*?\]"

                reactions = re.search(pattern, reaction_split)

                if reactions:
                    reactions = json.loads(reactions.group(0))
                else:
                    reactions = []

                reactions = [
                    dict(
                        name=reaction["node"]["localized_name"].lower(),
                        count=reaction["reaction_count"],
                        is_visible=reaction["visible_in_bling_bar"],
                    )
                    for reaction in reactions
                ]

                splitter = '"share_count":{"count":'

                shares = script_tag.string.split(splitter, 2)[1].split(",")[0]
                splitter = '"comments":{"total_count":'
                comments = script_tag.string.split(splitter, 2)[1].split("}")[0]
                likes = [x.get("count") for x in reactions if x.get("name") == "like"]
                likes = likes[0] if likes else 0

                print(total_react, reactions, shares, comments, likes)
            if '"message":{"text":"' in script_tag.string:
                desc = script_tag.string.split('"message":{"text":"', 1)[-1].split('"},')[0]
        except Exception as e:
            print(e)
            continue

    name = soup.find("meta", {"property": "og:title"}).get("content")

    date = None

    if api_access_key:
        if not post_id:
            post_id = url.split("/")[-1]
        try:
            post_details = requests.get(
                f"https://graph.facebook.com/v20.0/1066512588151225_{post_id}?fields=place,shares,targeting,updated_time,created_time,description,child_attachments,caption,event,message,message_tags,story,status_type,source,coordinates,backdated_time,story_tags,scheduled_publish_time,properties,attachments&access_token={api_access_key}",
                headers={"user-agent": "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Googlebot/2.1; +http://www.google.com/bot.html) Chrome/W.X.Y.Z Safari/537.36",}
            ).json()
            if post_details.get("updated_time"):
                date = post_details.get("updated_time")
            else:
                date = post_details.get("created_time")
            
        except Exception as e:
            print(e)
    else:
        post_details = None

    return {
        "insights": {
            "likeCount": likes,
            "commentCount": int(comments),
            "shareCount": int(shares),
            "reactionCount": int(total_react),
            "reactions": reactions,
        },
        "description": desc,
        "username": username,
        "name": name,
        "date": date,
        "details":post_details
    }
    

@app.get("/google_search")
async def google_search(q: str, delimiter: str = "\n---\n", sites: Annotated[list[str] | None, Query()] = None):
    print(sites)
    print(type(sites))
    url = f"https://www.google.com/search?q={q} "
    if sites:
        url += " OR ".join(["site:"+site for site in sites]) 
        
    texts = ""
    soup = BeautifulSoup(requests.get(url).content, "html.parser")
  
    for div in soup.find_all("div")[24:]:
      if len(div.find_parents("div")) == 8:  # Depth 4 means 3 parent divs (0-indexed)
          # print(div.get_text().strip())
          href = div.find(href=True, recursive=True)
          text = div.find(text=True, recursive=False)
          if href and text:
            print(text)
            text = f'[{text}]({href["href"].split("/url?q=")[-1]})'
          if text != None and text.strip():
            texts += text + delimiter
    return {"results":texts}


@app.get("/google_search_urls")
async def google_search_url(q: str, sites: Annotated[list[str] | None, Query()] = None, start:int = 0, user_agent="Twitterbot"):
    url = f"https://www.google.com/search?start={start}&q={q} "
        
    if sites:
        url += " OR ".join(["site:"+site for site in sites]) 
        
    res = requests.get(
        url,
        headers={
            "user-agent": user_agent,
            "accept-language": "en-US"
        },
        timeout=(10, 27),
    )

    soup = BeautifulSoup(res.content, "html.parser")
    prefix = "/url?q=h"
    len_prefix = len(prefix)

    docs = []
    for div in soup.find_all(True):
        if len(div.find_parents()) == 2:  # Depth 4 means 3 parent divs (0-indexed)
            a_tags = div.find_all("a")
            for a in a_tags:
                doc = a.get("href")
                if (
                    doc[:len_prefix] == prefix
                    and "google.com" not in doc[len_prefix - 1 :]
                ):
                    docs.append(
                        doc[len_prefix - 1 :]
                        .split("&")[0]
                        .replace("%3F", "?")
                        .replace("%3D", "=")
                    )
    return {"results":docs}


@app.get("/tiktok_video_details")
async def tiktok_video_details(username: Optional[str] = None, video_id:Optional[str] = None, url: Optional[str] = None):
    if not url:
        if username[0] != "@":
            username = "@" + username
        url = f"https://www.tiktok.com/{username}/video/{video_id}"
    else:
        username = url.split("//www.tiktok.com/",1)[-1].split("/")[0]
        
    # user_agent = "LinkedInBot"
    user_agent = "Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)"
    
    res = requests.get(url, headers={"user-agent": user_agent})

    # soup = BeautifulSoup(res.content, "html.parser")

    # insights = soup.find("meta", {"property": "og:description"}).get("content")
    # likes = insights.split(" ", 1)[0]
    # desc = insights.rsplit(" comments. “", 1)[-1][:-1]
    # comments = insights.split(", ", 1)[-1].split(" ", 1)[0]

    # name = soup.find("meta", {"property": "og:title"}).get("content")[9:]

    # return {
    #     "insights": {"likeCount": likes, "commentCount": comments, "shareCount":None, "viewCount":None},
    #     "description": desc,
    #     "username": username,
    #     "name": name,
    # }

    text_maker = html2text.HTML2Text()
    text_maker.ignore_links = True
    text_maker.ignore_images = True
    text_maker.bypass_tables = False

    print("RESPONSE DETAIlL", res.content.decode("utf-8"))
    
    docs = text_maker.handle(res.content.decode("utf-8"))

    print("DOCS", docs)

    content_detail = docs.split("###")[5]

    likes, comments, bookmarks, shares = re.findall(r'\*\*([\w.]+)\*\*', content_detail)
    
    
    profile = [x.strip() for x in content_detail.split("\n\nSpeed\n\n", 1)[1].split("\n", 6) if x.strip()]
    username = profile[0]
    date = profile[1].rsplit(" · ", 1)[-1]
    desc = profile[-1][2:].replace("**", "")
    
    return {
        "insights":{
            "likeCount":likes,
            "commentCount":comments,
            "bookmarkCount":bookmarks,
            "shareCount":shares
        },
        "username":username,
        "date":date,
        "description":desc
    }


@app.get("/youtube_video_details")
async def yt_vid_detail(api_key:str, video_id: Optional[str] = None, url: Optional[str] = None):
    # yt_ids = [doc.split("?v=")[-1] for doc in docs]
    if url:
        video_id = url.split("?v=")[-1]
        
    youtube = googleapiclient.discovery.build(
        "youtube", "v3", developerKey=api_key
    )

    # request = youtube.search().list(part="snippet", q="sari roti", type="video")
    request = youtube.videos().list(
        part="snippet,statistics,topicDetails",
        # id=",".join(yt_ids),
        id = video_id,
    )

    return request.execute()["items"]