ZoomInfo
Apollo.io
Lusha
Hunter.io
Datanyze
DiscoverOrg
Clearbit
UpLead
TranscriptFetch
SocialFetch.dev
TranscriptAPI.com
TranscriptFetch is one API for getting text out of video and web content.
Send a URL from YouTube, TikTok, Instagram, X or Facebook and get back clean, timestamped text. Send any web page and get clean Markdown. One endpoint, one response shape, one API key.
Most short-form video has no caption track to download. TikTok's auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and a large share of captions on both platforms are burned into the video frames where no parser can read them.
When there is no caption track, TranscriptFetch transcribes the audio instead. Same endpoint, same response, so your code never branches on which method produced the text.
text field for feeding a model or a search indexsegments array with per-cue start times and durations, so subtitles and jump-to-moment links are a formatting step rather than another integration100 free credits on signup, no card required. One credit per successful response. Failed, blocked and empty results are never charged, which matters on short-form video where a meaningful share of any batch is music with no speech in it.
ZoomInfo TranscriptFetchNo TranscriptFetch videos yet. You could help us improve this page by suggesting one.
TranscriptFetch's answer:
Most short-form video has no caption track to download. TikTokโs auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.
TranscriptFetch's answer:
Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.
TranscriptFetch's answer:
Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.
TranscriptFetch's answer:
It started with discovering there is no good way to get the text of a video. YouTubeโs official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video ownerโs OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.
TranscriptFetch's answer:
Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.
ZoomInfo makes it much easier to identify decision-makers, prioritize high-value accounts, and keep pipelies moving. With powerful AI automation and high-quality data, it's an all-in-one solution for sales, marketing, and RevOPs teams who want to save time and drive revenue growth.
As a B2B database, ZoomInfo certainly has a lot to offer. Its detailed business information on people and companies is impressive, and I've found it to be a useful resource for researching potential clients and partners.
However, I do have a few criticisms of the product. Firstly, its pricing is quite steep, especially compared to other B2B databases on the market. This makes it difficult for smaller businesses or startups to justify the cost. Additionally, while the information on ZoomInfo is generally accurate and up-to-date, I have come across a few instances where the information was incomplete or outdated.
Despite these drawbacks, ZoomInfo is still a good resource for business information. It just might not be the best option out there. If you're willing to pay for a premium service, then ZoomInfo could be worth considering. However, if you're looking for more cost-effective alternatives, there are several options to consider.
Based on our record, ZoomInfo seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Skip ZoomInfo for this use case. It's enterprise-contract priced, built for outbound prospecting from company lists, and adds zero value for personal email resolution. Same story with Lusha โ excellent for Chrome extension-style lookups starting from a LinkedIn profile, wrong tool for an automated inbound pipeline. - Source: dev.to / 2 months ago
Most SDR stacks start with a contact database โ ZoomInfo, Apollo, or Lusha โ and treat enrichment as a one-time step at the top of the funnel. The problem: these databases are 3โ18 months stale on average. Job titles change. Companies restructure. Decision-makers who were Director of Engineering in Q1 are VP by Q3. - Source: dev.to / 3 months ago
Kaspr is the most LinkedIn-native option on this list. The Chrome extension sits on LinkedIn profiles and exports contact data directly โ phone numbers, emails, and CRM sync. 120M+ European contacts is their differentiator; US coverage is noticeably thinner. Starting at $74/month, it's not cheap for light usage, but teams running 200+ LinkedIn outreach touches per month will find the unit economics work. Kaspr is... - Source: dev.to / 3 months ago
For the phone calls - there's a decent chance they got your number from zoominfo.com - you can go there and request to be removed. Source: about 3 years ago
I just found a few data collator sites, zoominfo.com and signalhire.com are just two - they seem to scrape sites like Linkedin etc and collate everything. Personal numbers can be found pretty easily, if you've ever signed up for a business identification number it could be there, could be in a data leak somewhere - these companies are pretty shady and will buy data from places to just get a lead. Source: over 3 years ago
Apollo.io - Apolloโs predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
SocialFetch.dev - Social media scraping API for public profiles, posts, comments, videos, transcripts, and metrics from TikTok, Instagram, YouTube, X, LinkedIn, and more. Pay-as-you-go credits, 100 free to start.
Lusha - Search less. Sell more.
TranscriptAPI.com - Get YouTube video transcripts with a simple API call or through Model Context Protocol. Fast, reliable, and easy to integrate into your applications.
Hunter.io - Find all the email addresses related to a domain
Datanyze - The sales prospecting tool powered by technology data