简介

Instagram 是目前最热门的社交媒体平台之一,拥有大量优质的视频内容。但是要逐一下载这些视频往往非常耗时。在这篇文章中,我们将介绍如何使用 Python 编写一个脚本,来实现 Instagram 视频的批量下载和信息爬取。
我们使用selenium获取目标用户的 HTML 源代码,并将其保存在本地:

def get_html_source(html_url):
    option = webdriver.EdgeOptions()
    option.add_experimental_option("detach", True)
    # option.add_argument("--headless")  # 添加这一行设置 Edge 浏览器为无头模式  不会显示页面
    # 实例化浏览器驱动对象，并将配置浏览器选项
    driver = webdriver.Edge(options=option)
    # 等待元素出现，再执行操作
    driver.get(html_url)
    time.sleep(3)

    # ===============模拟操作鼠标滑轮====================
    i=1
    while True:
        # 1. 滚动至页面底部
        last_height = driver.execute_script("return document.body.scrollHeight")
        driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
        time.sleep(4)
        # 2. 检查是否已经滚动到底部
        new_height = driver.execute_script("return document.body.scrollHeight")
        if new_height == last_height:
            break
        logger.info(f"Scrolled to page{i}")
        i += 1
    html_source=driver.page_source
    driver.quit()
    return html_source
total_html_source = get_h

tml_source(f'https://imn/{username}/')
with open(f'./downloads/{username}/html_source.txt', 'w', encoding='utf-8') as file:
    file.write(total_html_source)

然后,我们遍历每个帖子,提取相关信息并下载对应的图片或视频:，注意不同类型的帖子，下载爬取方式不一样

def downloader(logger,downlod_url,file_dir,file_name):
    logger.info(f"====>downloading:{file_name}")
    # 发送 HTTP 请求并下载视频
    response = requests.get(downlod_url, stream=True)
    # 检查请求是否成功
    if response.status_code == 200:
        # 创建文件目录
        if not os.path.exists("downloads"):
            os.makedirs("downloads")
        # 获取文件大小
        total_size = int(response.headers.get('content-length', 0))
        # 保存视频文件
        # 
        file_path = os.path.join(file_dir, file_name)
        with open(file_path, "wb") as f, tqdm(total=total_size, unit='B', unit_scale=True, unit_divisor=1024, ncols=80, desc=file_name) as pbar:
            for chunk in response.iter_content(chunk_size=1024):
                if chunk:
                    f.write(chunk)
                    pbar.update(len(chunk))
        logger.info(f"downloaded and saved as {file_path}")
        return file_path

    else:
        logger.info("Failed to download .")
        return "err"


def image_set_downloader(logger,id,file_dir,file_name_prx):
    logger.info("downloading image set========")
    image_set_url="https://imm"+id
    html_source=get_html_source(image_set_url)
    # # 打开或创建一个文件用于存储 HTML 源代码
    # with open(file_dir+file_name_prx+".txt", 'w', encoding='utf-8') as file:
    #     file.write(html_source)
# 4、解析出每一个帖子的下载url downlod_url
    download_pattern = r'data-proxy="" data-src="([^"]+)"'
    matches = re.findall(download_pattern, html_source)
    
    download_file=[]
    # # 输出匹配到的结果
    for i, match in enumerate(matches, start=1):
        downlod_url = match.replace("amp;", "")
        file_name=file_name_prx+"_"+str(i)+".jpg"
        download_file.append(downloader(logger,downlod_url,file_dir,file_name))

    desc_pattern = r'<div class="desc">([^"]+)follow'
    desc_matches = re.findall(desc_pattern, html_source)
    desc=""
    for match in desc_matches:
       desc=match
       logger.info(f"desc:{match}")

    return desc,download_file


def image_or_video_downloader(logger,id,file_dir,file_name):
    logger.info("downloading image or video========")
    image_set_url="https://im"+id
    html_source=get_html_source(image_set_url)
    # # 打开或创建一个文件用于存储 HTML 源代码
    # with open(file_dir+file_name+".txt", 'w', encoding='utf-8') as file:
    #     file.write(html_source)
# 4、解析出每一个帖子的下载url downlod_url
    download_pattern = r'href="(https://scontent[^"]+)"'
    matches = re.findall(download_pattern, part)
    # # 输出匹配到的结果
    download_file=[]
    for i, match in enumerate(matches, start=1):
        downlod_url = match.replace("amp;", "")
        download_file.append(downloader(logger,downlod_url,file_dir,file_name))
        # 文件名
    desc_pattern = r'<div class="desc">([^"]+)follow'
    desc_matches = re.findall(desc_pattern, html_source)
    desc=""
    for match in desc_matches:
       desc=match
       logger.info(f"desc:{match}")

    return desc,download_file
parts = total_html_source.split('class="item">')
posts_number = len(parts) - 2

logger.info(f"posts number:{posts_number} ")

for post_index, part in enumerate(parts, start=0):
    id = ""
    post_type = ""
    post_time = ""
    if post_index == 0 or post_index == len(parts) - 1:
        continue
    logger.info(f"==================== post {post_index} =====================================")

    # 解析出每个帖子的时间和 ID
    time_pattern = r'class="time">([^"]+)</div>'
    matches = re.findall(time_pattern, part)
    for match in matches:
        post_time = match
        logger.info(f"time:{match}")
    id_pattern = r'<a href="([^"]+)">'
    id_matches = re.findall(id_pattern, part)
    for match in id_matches:
        id = match
        logger.info(f"id:{id}")

    # 根据帖子类型进行下载
    if '#ffffff' in part:
        post_type = "Image Set"
        logger.info("post_type: Image Set")
        image_name_pex = "img" + str(post_index)
        desc, post_contents = image_set_downloader(logger, id, image_dir, image_name_pex)
    elif "video" in part:
        post_type = "Video"
        logger.info("post_type: Video")
        video_name = "video" + str(post_index) + ".mp4"
        desc, post_contents = image_or_video_downloader(logger, id, video_dir, video_name)
    else:
        logger.info("post_type: Image")
        post_type = "Image"
        img_name = "img" + str(post_index) + ".jpg"
        desc, post_contents = image_or_video_downloader(logger, id, image_dir, img_name)

    # 将信息写入 Excel 文件
    exceller.write_row((post_index, post_time, post_type, desc, ', '.join(post_contents)))

最后,我们调用上述定义的函数,实现图片/视频的下载和 Excel 文件的写入。

结果展示

源码

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