Waarom Python voor social media automatisering
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.
Je omgeving instellen
1. Installeer de SDK
pip install upload-post 2. Ontvang je API-sleutel
Create a free account at app.upload-post.com and generate an API key from the API Sleutels dashboard. Store it as an environment variable:
export UPLOAD_POST_API_KEY="your-api-key-here" 3. Verbind je sociale accounts
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.
Je eerste upload: een video plaatsen
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="Ons nieuwe product in actie",
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.
Foto\'s en carrousels plaatsen.
response = client.upload_photos(
photos=["slide-1.jpg", "slide-2.jpg", "slide-3.jpg"],
title="Zomercollectie lookbook",
description="Elk stuk, gemaakt in Portugal. Koop via de link in bio.",
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.
Tekstinhoud plaatsen.
For text only posts (think Twitter threads, LinkedIn updates, or Reddit submissions):
response = client.upload_text(
title="We hebben zojuist een grote update naar onze API verzonden. Dit is wat er is veranderd...",
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 Threads, the split happens at 500 characters. On Bluesky, at 300.
Gebruik platform specifieke parameters
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={"Autorisatie": f"Apikey {API_KEY}"},
files={"video": video},
data={
"user": "mybrand",
"title": "Check this out",
# Platform specific titles
"tiktok_title": "POV: je product verkoopt zichzelf #ecommerce #dropshipping",
"instagram_title": "Nieuwe drop. Link in bio voor vroege toegang.",
"youtube_title": "Productdemo | Volledige beoordeling.",
"youtube_description": "In deze video laten we je precies zien hoe het werkt...",
"linkedin_title": "We zijn enthousiast om onze nieuwste productlancering met de gemeenschap te delen.",
# Platform specific settings
"platform[]": ["tiktok", "instagram", "youtube", "linkedin"],
"privacy_level": "PUBLIC_TO_EVERYONE",
"media_type": "REELS",
"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.
Berichten voor later plannen
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="Goedemorgen! Verse content voor je feed",
user="mybrand",
platforms=["tiktok", "instagram"],
scheduled_date=tomorrow_9am.isoformat(),
timezone="Amerika/New_York"
)
print(f"Gepland! Taak ID: {response['job_id']}")
print(f"Zal publiceren op: {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.
Een volledige automatisering bouwen: mapbewaker
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.
Werken met de API direct (zonder de SDK)
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={"Autorisatie": f"Apikey {API_KEY}"},
files={"video": ("video.mp4", f, "video/mp4")},
data={
"user": "mybrand",
"title": "Geplaatst met Python-requests.",
"platform[]": ["tiktok", "instagram"],
}
)
print(response.status_code)
print(response.json()) Je API-sleutel valideren
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={"Autorisatie": f"Apikey {API_KEY}"}
)
data = response.json()
print(f"E-mail: {data['email']}")
print(f"Plan: {data['plan']}") Best practices voor foutafhandeling
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={"Autorisatie": f"Apikey {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"Alle {max_retries} pogingen zijn mislukt voor {video_path}")
return None Uploadgeschiedenis controleren
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={"Autorisatie": f"Apikey {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']}") Volgende stappen
Now that you have the basics, here are some ideas for what to build next:
- Verbind je script met een CMS of database zodat nieuwe inhoud automatisch wordt gepubliceerd.
- Use the bulk upload approach to process entire content libraries
- Herbruik lange video\'s naar korte clips 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