Hey everyone, I have just started using Clay and I have ran into an issue: I’m using an Apify actor (Text Scraper (Free)) to extract job descriptions from LinkedIn links in my Clay table. I have over 300 rows, but Apify only allows me to run 2 at a time due to RAM limitations. Does anyone know a good workaround? For example: • Running the actor in batches via Clay • Or using a different scraping method to process all rows more efficiently? I’m mainly trying to extract the job descriptions linked to each row. Any ideas or suggestions would be really helpful!
For extracting job descriptions from LinkedIn links, consider these alternatives to Apify: Claygent (AI Web Scraper) - Our native AI scraper can extract LinkedIn profile information including job descriptions and work experience. It's designed specifically for LinkedIn data extraction and doesn't have the same RAM limitations as Apify. Clay's Native Scraper - Use our built-in "Scrape Website" action which can extract body text and specific content from LinkedIn pages. This tool is designed for ease of use and can handle multiple URLs efficiently without external limitations. Both options should process your 300+ rows more efficiently than Apify's 2-at-a-time constraint, allowing you to extract job descriptions from all LinkedIn links in your table.
