Python Developer Needed for Automating Facebook Ads Research
Budget: £10 – £15 GBP
I'm looking for a Python Developer who can scrape data from the Facebook Ads Library, analyze trends from Google and Reddit, and visualize the findings using Matplotlib.
Key Responsibilities:
1. Scraping: Use Scrapy or Requests to send HTTP requests to the Ads Library and parse the HTML with BeautifulSoup to extract relevant ad details like product names, descriptions, engagement metrics, and ad copy.
2. Trend Analysis: Use Pytrends (Google Trends API) to check search demand for extracted product names and store the data in Pandas DataFrames for easy analysis.
3. User Engagement Analysis: Use PRAW (Python Reddit API Wrapper) to check discussions around extracted products and scrape Reddit threads to understand sentiment and common questions.
4. Data Visualization: Use Matplotlib to create visual reports on trending ads, engagement levels, and search trends.
Ideal Skills:
- Proficiency in Python and its libraries (Scrapy, Requests, BeautifulSoup, Pytrends, PRAW, Pandas, Matplotlib)
- Experience in data scraping and analysis
- Understanding of social media metrics
- Ability to create clear, visual reports from complex data sets
Key Responsibilities:
1. Scraping: Use Scrapy or Requests to send HTTP requests to the Ads Library and parse the HTML with BeautifulSoup to extract relevant ad details like product names, descriptions, engagement metrics, and ad copy.
2. Trend Analysis: Use Pytrends (Google Trends API) to check search demand for extracted product names and store the data in Pandas DataFrames for easy analysis.
3. User Engagement Analysis: Use PRAW (Python Reddit API Wrapper) to check discussions around extracted products and scrape Reddit threads to understand sentiment and common questions.
4. Data Visualization: Use Matplotlib to create visual reports on trending ads, engagement levels, and search trends.
Ideal Skills:
- Proficiency in Python and its libraries (Scrapy, Requests, BeautifulSoup, Pytrends, PRAW, Pandas, Matplotlib)
- Experience in data scraping and analysis
- Understanding of social media metrics
- Ability to create clear, visual reports from complex data sets