Social Fetch vs Oxylabs
Oxylabs is an enterprise proxy and scraper company — residential IPs, SERP and e-commerce scrapers, and a Web Scraper API that returns page HTML or parsed fields by target type. Social Fetch is a social-native REST API: pass a handle, get profile JSON. Same word "scrape" in search results; different products.
Last updated: 2026-07-21
At a glance
The rows teams scan first before reading the full page — how each product expects you to integrate, who runs the upstream fetch, and what billing looks like at a headline level. Numbers and sources are in the pricing section below; this table is the orientation pass.
| Social Fetch | Oxylabs | |
|---|---|---|
| What you're buying | Social data API — profiles, posts, comments, transcripts | Proxy networks + Web/SERP/E-commerce Scraper APIs |
| Response shape | Normalized social JSON (`followerCount`, bio, avatar…) | HTML or target-specific parsed fields (Amazon, Google, Other) |
| Billing model | PAYG packs never expire; optional monthly plans | Monthly subscription from $49 (Micro) with feature-based rates |
| Typical social-page cost | $1.65 per 1,000 completed lookups | ~$1.15–$1.35 per 1,000 successful results ("Other" / JS tiers) |
| You still need to… | Map our fields into your app | Parse Instagram/TikTok HTML or maintain extraction rules |
| Best fit | Product features that need live social lookups | Data teams scraping e-commerce, SERPs, and the open web |
Oxylabs sells scraping infrastructure, not a social schema
Oxylabs built its business on proxy networks — residential, datacenter, mobile — and layered scraper APIs on top for teams that need Amazon listings, Google SERPs, or arbitrary page HTML at volume. The Web Scraper API authenticates with credentials, targets a URL or source type, and returns content. Feature-based billing charges different rates for Amazon, Google, and everything else, with a premium for JavaScript rendering.
That stack is real infrastructure. If you are price-monitoring SKUs across marketplaces or collecting SERP snapshots into a warehouse, Oxylabs is in the right category.
What it is not: a social media API with `/v1/tiktok/profiles/{handle}` and a documented follower count field. To get creator data through Oxylabs you scrape a public page (or equivalent), then write and maintain parsers for each network's markup and anti-bot behavior. When Instagram changes a class name, your pipeline breaks — Oxylabs still billed the successful HTML fetch.
Monthly plans and feature-based result rates
Oxylabs Web Scraper API starts at $49/month (Micro). Your effective result count depends on what you scrape: Amazon results are cheaper per thousand than "Other," and enabling JS rendering shrinks how many results fit in the same plan. Higher tiers (Starter $99, Advanced $249, and up) improve per-result rates and throughput.
Budgeting social traffic through that model is awkward. Social pages often need JS rendering, so you land in the higher tier. You still own extraction quality. A "successful result" in Oxylabs terms is a fetched page with a 2xx/4xx — not a validated profile object your product can trust.
Social Fetch's Scale pack is $379 for 230,000 credits ($1.65/1k). There is no monthly floor on pay-as-you-go. A completed TikTok profile lookup costs one credit whether the account has 100 followers or 100 million.
Normalized social JSON vs DIY extraction
Social Fetch covers 17 platforms with 137 marketplace operations under one API key. Responses use a consistent envelope and field names where the product allows it — so adding LinkedIn after TikTok is not a second scraper project.
With Oxylabs you get transport and unblock capability. You still decide selectors, handle login walls and consent banners, normalize metrics, and map avatar URLs. Teams that start "just scraping Instagram through Oxylabs" often rediscover why social-native APIs exist: the hard part is not the HTTP hop, it is keeping extraction correct after every platform change.
We own that extraction layer. When a network shifts, we patch upstream. Your code keeps reading the same documented fields. Failed internal lookups (lookup_failed / 503 temporarily_unavailable) do not burn credits; completed not_found still does, because the upstream check ran.
Pick by workload, not by brand familiarity
Keep Oxylabs when proxies, SERP collection, or e-commerce scraping are the job — especially if procurement already standardized on them for non-social data. Their scheduler, dataset-style workflows, and account management fit data engineering orgs.
Choose Social Fetch when the product requirement is "given a handle or URL, return structured social data in this request." Creator onboarding, influencer scoring, monitoring checks triggered by a user action — those flows want sync JSON, not a generic page scraper plus a parser farm.
Using both is common: Oxylabs for open-web and marketplace scraping, Social Fetch for social profiles and posts. That split usually costs less engineering time than forcing social through a general scraper API.
Who should pick which
Short lists pulled from the sections above — not a scorecard. If your situation matches the right column, Oxylabs is probably the better buy even if Social Fetch wins more checkboxes down the page.
When Social Fetch is the better fit
- You need TikTok, Instagram, YouTube, LinkedIn, and related networks as JSON in one vendor
- Product features depend on live lookups inside a user request
- You do not want to maintain CSS/JSON parsers when platforms change markup
- PAYG credits without a $49+/mo scraper-API floor fit your volume better
- lookup_failed / 503 paths should not burn the same credits as a successful HTML fetch
When Oxylabs is the better fit
- You need residential or mobile proxy networks as a product, not just social lookups
- Workload is Amazon, Google SERP, or broad e-commerce extraction at plan scale
- Your data team already runs Oxylabs scrapers and only occasionally needs a social page
- You require custom parsing of pages Social Fetch does not expose as endpoints
- Enterprise procurement is standardized on Oxylabs for web data and you use more than social
What does getting a social profile cost once you include parsing?
Oxylabs Web Scraper API bills successful results against a monthly plan. On Micro ($49/mo), published rates include Amazon ~$0.50/1k, Google ~$1.00/1k, Other without JS ~$1.15/1k, and with JS rendering ~$1.35/1k. Social platforms sit in the general "Other" / JS buckets — you get page content, not a ready-made TikTok profile schema. Social Fetch charges one credit per completed lookup at $1.65/1k on the Scale pack, with the schema already normalized.
| Scenario | Social Fetch | Oxylabs |
|---|---|---|
| Entry monthly commitment | None on PAYG | $49/mo Micro (up to ~37k–98k results depending on target) |
| 1,000 JS-rendered page results | N/A — we return structured social JSON | ~$1.35 (Micro JS tier) |
| 1,000 structured social profile lookups | ~$1.65 | ~$1.35+ scrape cost + your parsing, retries, and schema work |
| 75k social lookups/month | ~$124 one-time | ~$99–$249/mo plan tier + engineering time to keep parsers alive |
| Unused capacity | PAYG credits never expire | Monthly result allotment — use it or lose it with the period |
| Free trial | 100 credits, no card | Up to 2,000 results, no time limit on the trial allotment |
Oxylabs Web Scraper API pricing from oxylabs.io/products/scraper-api/web/pricing and developers.oxylabs.io help center (July 2026). Rates are per successful result and vary by target category and JS rendering. Proxy network products are priced separately (per GB / per IP).
Feature checklist
Yes means the capability is on the default path for most users. Partial usually means a different SKU, a marketplace listing that covers only some endpoints, or a workaround you have to wire yourself. A green check for Oxylabs does not mean it belongs in your stack — match each row to the workflow you are actually shipping.
| Capability | Social Fetch | Oxylabs |
|---|---|---|
| Synchronous REST JSON (no actor run polling) | ||
| One API key for all platforms | ||
| Unified schema across platforms | ||
| Public OpenAPI specification | ||
| Official TypeScript SDK | ||
| Interactive API playground | ||
| TikTok, Instagram, YouTube, LinkedIn, Facebook, Reddit, X in one vendor | ||
| Pay-as-you-go without required monthly subscription | ||
| PAYG credits never expire | ||
| Web fetch (markdown/HTML) in same product | ||
| Native scheduling / batch pipelines | ||
| Webhooks & large dataset export |
Bottom line
The pricing table and feature checklist above are for narrowing the field. This section is the pick-one answer for Social Fetch vs Oxylabs. If their integration shape fits your roadmap better, take it — the prose and “when they win” lists above name those cases on purpose.
Enterprise scraper stack vs social-native API
Oxylabs is a strong proxy and general web-scraper vendor. For social-only product work it is the wrong shape: you pay for monthly result plans and still write the social schema yourself. Social Fetch is built for that narrower job — structured public social data, flat per-lookup pricing, no required subscription on pay-as-you-go. Keep Oxylabs for SERPs and e-commerce. Use Social Fetch when the deliverable is a profile or post object.
If Social Fetch is still in the running, run one real endpoint before you buy a subscription elsewhere. The playground uses the same API key and response envelope as production — you will know in a few minutes whether the JSON shape fits your code.
Questions about this pairing
What teams ask when Social Fetch and Oxylabs land on the same shortlist — migration, billing surprises, and whether the integration model changes when you add a second platform. For cross-vendor framing, start on the compare hub.
- Is Oxylabs cheaper than Social Fetch for social data?
- Listed Oxylabs Web Scraper rates for "Other" / JS results (~$1.15–$1.35/1k on Micro) can look cheaper than Social Fetch's $1.65/1k. That comparison is incomplete: Oxylabs returns page content you must parse and maintain, and you need a monthly plan from $49. Social Fetch returns normalized social JSON with no required subscription on PAYG. Fully loaded cost usually favors Social Fetch for profile and post lookups.
- Does Oxylabs have dedicated TikTok or Instagram APIs?
- Oxylabs offers scraper APIs aimed at web, SERP, and e-commerce targets. Social platforms are typically scraped as general web pages (often with JS rendering), not as first-class social profile endpoints with a stable schema like Social Fetch.
- Can I use Oxylabs proxies with Social Fetch?
- No need. Social Fetch handles extraction and routing internally. You call our REST endpoints with an API key. If you already buy Oxylabs proxies for other projects, keep them for those projects — they are not part of the Social Fetch integration.
- Does Social Fetch replace Oxylabs?
- No. Social Fetch replaces DIY social scraping for supported platforms. It does not replace Oxylabs proxy networks, Amazon/Google scrapers, or general open-web collection.
- How fast is each option?
- Social Fetch typically returns in a few seconds with JSON in the response body. Oxylabs scrape latency depends on target, rendering, and retries; you then add your own parse step. For UI-driven social features, the end-to-end gap matters.
- Which platforms does Social Fetch cover?
- Social Fetch covers 17 platforms with 137 marketplace operations — TikTok, Instagram, YouTube, X/Twitter, LinkedIn, Facebook, Reddit, Threads, and more under one key.