To cross-reference data from Google Trends and Reddit, focus on ethical methods using APIs rather than direct scraping, as scraping can violate terms of service (TOS) and lead to bans. Here's how to do it:
pytrends Python library (unofficial API) to fetch data programmatically. Install it via pip install pytrends. Example script:
from pytrends.request import TrendReq
pytr = TrendReq(hl='en-US', tz=360)
pytr.build_payload(kw_list=['your_keyword'])
interest_over_time_df = pytr.interest_over_time()
print(interest_over_time_df)
This pulls interest scores over time. Feed this data into an AI LLM for analysis.
pip install praw. Example:
import praw
reddit = praw.Reddit(client_id='YOUR_ID', client_secret='YOUR_SECRET', user_agent='your_app')
subreddit = reddit.subreddit('subreddit_name')
for submission in subreddit.search('your_keyword', sort='new', limit=50):
print(submission.title)
This fetches posts/comments. Analyze for trends like mentions or sentiment.
To integrate with Alibaba API for sourcing estimates:
pip install alibabacloud. Example call for product search:
from alibabacloud_alidns20150109.client import Client
# Configure with your key/secret
# Make API request for product quotes
Feed results (e.g., prices, MOQs) into AI for estimates: "Based on these Alibaba prices [paste data], estimate sourcing costs for 1000 units of [product]."
Monitoring competitor launches involves tracking new listings, price changes, or ranking shifts. Ways to monitor: