I build Apify Actors that turn public web data into structured inputs for research and recurring workflows. Start with the source and outcome you need.

Google News Scraper & Alerts  collects article metadata, filters publishers and dates, and can output only unseen stories across repeated runs. Useful for brand coverage, competitor research and newsletter inputs. RSS coverage is limited; this is not a full-text news archive.

LinkedIn & Indeed Job Scraper  searches supported job boards with source attribution. Coverage varies by board.

Hiring Signal Jobs Scraper  collects Greenhouse and Lever career-page jobs and adds explainable hiring classifications. Scores are research signals, not confirmed buying intent.

Google Trends Scraper  supports keyword trend research. Amazon Product Scraper  collects product and price snapshots. Each listing documents its supported inputs, output fields and limits.

Run a small sample, inspect the output and set a maximum run charge. Use a saved task for repeatable inputs; add an Apify schedule when you need recurring collection. Current pricing is shown on each Actor page.

Use the Issues tab on the relevant Actor with the run ID, expected result and a non-sensitive input example. Never include passwords, tokens or cookies. These are independently developed tools, not official products of the data-source platforms.