I’m building targeted outreach lists and need an experienced web-scraper or data-miner to pull fresh, accurate contact information for four potential claimant groups: • Rideshare passengers - Females only • Car accident report subjects (USA and UK) • Veterans who worked in a defined area • Individuals who used or were exposed to paraquat For every record I need the person’s full name and a working phone number; a street address is helpful but optional. I don’t have source URLs, so you’ll have to locate public records, docket sites, DOT feeds, FOIA repositories, social media, or any other lawful sources on your own. Accident reports may come from either side of the Atlantic, while all other datasets must be strictly U.S.-based. Within the United States I have no regional preference—feel free to harvest from any state that yields the volume and quality we’re after. Please outline in your bid: • Your scraping approach and the specific tools, APIs, or custom scripts you plan to use (Python, BeautifulSoup, Scrapy, Octoparse, etc.). • A brief example of similar lead-gen or public-record extractions you’ve completed, preferably showing match rates or verification steps. • Estimated record counts and turnaround time for each group.