सोशल मीडिया स्वचालन के लिए Python क्यों?

Python is the go-to language for automation. It\'s readable, has a massive ecosystem, and it\'s perfect for scripts that run on a schedule. And when it comes to posting to social media programmatically, the alternative to using an API like Upload-Post is building OAuth integrations for each platform yourself. That means handling TikTok\'s Content Posting API, Instagram\'s Graph API, YouTube\'s Data API, and so on. Each with its own authentication flow, rate limits, and quirks.

With the social media posting API, you make one API call and it posts to all ten platforms. The Python SDK makes this even simpler.

अपने वातावरण को सेट करना।

1. SDK इंस्टॉल करें

pip install upload-post

2. अपनी API कुंजी प्राप्त करें

Create a free account at app.upload-post.com and generate an API key from the API कुंजियों का डैशबोर्ड. Store it as an environment variable:

export UPLOAD_POST_API_KEY="your-api-key-here"

3. अपने सोशल अकाउंट कनेक्ट करें

In the Upload-Post dashboard, create a profile (e.g. "mybrand") and connect your TikTok, Instagram, YouTube and any other accounts you want to post to. The profile name is what you\'ll reference in your code.

आपका पहला अपलोड: एक वीडियो पोस्ट करना

import os
from upload_post import UploadPostClient

client = UploadPostClient(
    api_key=os.environ["UPLOAD_POST_API_KEY"]
)

response = client.upload_video(
    video_path="my-video.mp4",
    title="हमारा नया उत्पाद क्रियान्वित",
    user="mybrand",
    platforms=["tiktok", "instagram", "youtube"]
)

if response["success"]:
    for platform, result in response["results"].items():
        if result["success"]:
            print(f"{platform}: {result['url']}")
        else:
            print(f"{platform}: upload failed")
else:
    print("Upload failed:", response)

That\'s a working script. Run it and your video goes live on three platforms. Now let\'s make it do more.

फोटो और कैरोसेल पोस्ट कर रहे हैं

response = client.upload_photos(
    photos=["slide-1.jpg", "slide-2.jpg", "slide-3.jpg"],
    title="गर्मी संग्रह लुकबुक",
    description="हर टुकड़ा, पुर्तगाल में बना। बायो में लिंक पर खरीदारी करें।",
    user="mybrand",
    platforms=["instagram", "tiktok", "linkedin"]
)

print(response)

Instagram creates a carousel post, TikTok creates a slideshow, and LinkedIn shows a multi-image post. Each platform gets the format it prefers.

पाठ सामग्री पोस्ट कर रहे हैं

For text only posts (think Twitter threads, LinkedIn updates, or Reddit submissions):

response = client.upload_text(
    title="हमने अपने API में एक बड़ा अपडेट जारी किया है। यहाँ क्या बदला...",
    user="mybrand",
    platforms=["x", "linkedin", "threads", "bluesky"]
)

print(response)

If your text exceeds the character limit on a platform, the API handles it smartly. On X, text over 280 characters automatically becomes a thread. On थ्रेड्स, the split happens at 500 characters. On ब्लूस्काई, at 300.

प्लेटफ़ॉर्म विशिष्ट पैरामीटर का उपयोग करना

The title parameter sets the default caption for all platforms, but you\'ll often want different copy for each one. Here\'s how to customize per platform:

import requests
import os

API_KEY = os.environ["UPLOAD_POST_API_KEY"]

with open("product-demo.mp4", "rb") as video:
    response = requests.post(
        "https://api.upload-post.com/api/upload",
        headers={"अधिकार": f"API कुंजी {API_KEY}"},
        files={"video": video},
        data={
            "user": "mybrand",
            "title": "Check this out",
            # Platform specific titles
            "tiktok_title": "POV: आपका उत्पाद खुद को बेचता है #ecommerce #dropshipping",
            "instagram_title": "नया ड्रॉप। प्रारंभिक पहुंच के लिए बायो में लिंक।",
            "youtube_title": "उत्पाद डेमो | पूर्ण समीक्षा",
            "youtube_description": "इस वीडियो में हम आपको दिखाते हैं कि यह कैसे काम करता है...",
            "linkedin_title": "समुदाय के साथ हमारे नवीनतम उत्पाद लॉन्च को साझा करने के लिए उत्साहित।",
            # Platform specific settings
            "platform[]": ["tiktok", "instagram", "youtube", "linkedin"],
            "privacy_level": "PUBLIC_TO_EVERYONE",
            "media_type": "रील्स",
            "tags[]": ["product", "demo", "review"],
            "privacyStatus": "public",
        }
    )

print(response.json())

This example uses the requests library directly instead of the SDK, which gives you access to every single API parameter. Check the full API reference for all available options per platform.

बाद के लिए पोस्ट शेड्यूल करना

from datetime import datetime, timedelta

# Schedule for tomorrow at 9 AM
tomorrow_9am = (datetime.now() + timedelta(days=1)).replace(
    hour=9, minute=0, second=0, microsecond=0
)

response = client.upload_video(
    video_path="tomorrows-content.mp4",
    title="सुप्रभात! आपके फीड के लिए ताजा सामग्री",
    user="mybrand",
    platforms=["tiktok", "instagram"],
    scheduled_date=tomorrow_9am.isoformat(),
    timezone="अमेरिका/न्यू यॉर्क"
)

print(f"शेड्यूल किया गया! कार्य ID: {response['job_id']}")
print(f"प्रकाशित होगा: {response['scheduled_date']}")

You can schedule up to 365 days in advance. For more details on scheduling and the queue system, read our scheduling guide.

पूर्ण स्वचालन बनाना: फ़ोल्डर वॉचर

Here\'s a practical script that watches a folder for new video files and automatically uploads them. This is great for agencies that receive client content in a shared folder:

import os
import time
import json
from upload_post import UploadPostClient

client = UploadPostClient(
    api_key=os.environ["UPLOAD_POST_API_KEY"]
)

WATCH_FOLDER = "/path/to/content/inbox"
PROCESSED_FILE = "/path/to/content/processed.json"
CHECK_INTERVAL = 60  # seconds

def load_processed():
    if os.path.exists(PROCESSED_FILE):
        with open(PROCESSED_FILE) as f:
            return set(json.load(f))
    return set()

def save_processed(processed):
    with open(PROCESSED_FILE, "w") as f:
        json.dump(list(processed), f)

def upload_video(filepath):
    filename = os.path.basename(filepath)
    title = filename.rsplit(".", 1)[0].replace("-", " ").replace("_", " ")

    response = client.upload_video(
        video_path=filepath,
        title=title,
        user="mybrand",
        platforms=["tiktok", "instagram", "youtube"],
        add_to_queue=True,
        async_upload=True
    )
    return response

print(f"Watching {WATCH_FOLDER} for new videos...")

processed = load_processed()

while True:
    for filename in os.listdir(WATCH_FOLDER):
        if filename in processed:
            continue
        if not filename.lower().endswith((".mp4", ".mov")):
            continue

        filepath = os.path.join(WATCH_FOLDER, filename)
        print(f"New file detected: {filename}")

        try:
            result = upload_video(filepath)
            print(f"  Queued successfully: {result.get('job_id', 'done')}")
            processed.add(filename)
            save_processed(processed)
        except Exception as e:
            print(f"  Error: {e}")

    time.sleep(CHECK_INTERVAL)

Run this script in the background (or as a systemd service) and every time someone drops a video in the folder, it gets published to all your connected platforms. If you need something more robust, consider using n8n or Make.com for a managed workflow.

API के साथ सीधे काम करना (SDK के बिना)

If you prefer not to use the SDK or need lower level control, you can use the requests library directly. Here\'s the equivalent of the SDK upload:

import requests

API_KEY = "your-api-key-here"
API_URL = "https://api.upload-post.com/api/upload"

# Upload a video
with open("video.mp4", "rb") as f:
    response = requests.post(
        API_URL,
        headers={"अधिकार": f"API कुंजी {API_KEY}"},
        files={"video": ("video.mp4", f, "video/mp4")},
        data={
            "user": "mybrand",
            "title": "Python अनुरोधों के साथ पोस्ट किया गया",
            "platform[]": ["tiktok", "instagram"],
        }
    )

print(response.status_code)
print(response.json())

आपकी API कुंजी को मान्य करना

Before running a big batch, it\'s a good idea to validate that your key works and check your plan limits:

response = requests.get(
    "https://api.upload-post.com/api/uploadposts/me",
    headers={"अधिकार": f"API कुंजी {API_KEY}"}
)

data = response.json()
print(f"ईमेल: {data['email']}")
print(f"योजना: {data['plan']}")

त्रुटि प्रबंधन के सर्वोत्तम अभ्यास

When building production scripts, handle these common scenarios:

import requests

def upload_with_retry(video_path, title, platforms, max_retries=3):
    for attempt in range(max_retries):
        try:
            with open(video_path, "rb") as f:
                response = requests.post(
                    "https://api.upload-post.com/api/upload",
                    headers={"अधिकार": f"API कुंजी {API_KEY}"},
                    files={"video": f},
                    data={
                        "user": "mybrand",
                        "title": title,
                        "platform[]": platforms,
                        "async_upload": "true",
                    },
                    timeout=120
                )

            if response.status_code == 200:
                return response.json()
            elif response.status_code == 429:
                # Rate limited, check usage
                usage = response.json().get("usage", {})
                print(f"Rate limited. Used {usage.get('count')}/{usage.get('limit')}")
                return None
            elif response.status_code == 401:
                print("Invalid API key")
                return None
            else:
                print(f"Attempt {attempt + 1} failed: {response.status_code}")

        except requests.exceptions.Timeout:
            print(f"Attempt {attempt + 1} timed out, retrying...")

    print(f"सभी {max_retries} प्रयास {video_path} के लिए विफल रहे")
    return None

अपलोड इतिहास की जांच कर रहे हैं

You can pull your upload history to verify what went through or build a reporting dashboard:

response = requests.get(
    "https://api.upload-post.com/api/uploadposts/history?page=1&limit=20",
    headers={"अधिकार": f"API कुंजी {API_KEY}"}
)

for entry in response.json()["history"]:
    status = "OK" if entry["success"] else "FAILED"
    print(f"[{status}] {entry['platform']} - {entry['post_title']} - {entry['post_url']}")

अगले कदम

Now that you have the basics, here are some ideas for what to build next:

अपने स्क्रिप्ट को एक CMS या डेटाबेस से कनेक्ट करें ताकि नई सामग्री स्वचालित रूप से प्रकाशित हो सके।
Use the bulk upload approach to process entire content libraries
लंबे वीडियो को छोटे क्लिप में पुनः उपयोग करें using FFmpeg and the Upload-Post API
Build a white label integration if you\'re building a SaaS product that needs social publishing
Explore our n8n templates for AI powered workflows that generate and publish content automatically

How to Automate Social Media Posting with Python